Laser microdissection coupled with RNA-seq analysis of porcine enterocytes infected with an obligate intracellular pathogen (Lawsonia intracellularis)
© Vannucci et al.; licensee BioMed Central Ltd. 2013
Received: 18 January 2013
Accepted: 18 June 2013
Published: 24 June 2013
Lawsonia intracellularis is an obligate intracellular bacterium and the etiologic agent of proliferative enteropathy. The disease is endemic in pigs, emerging in horses and has been described in various other species including nonhuman primates. Cell proliferation is associated with bacterial replication in enterocyte cytoplasm, but the molecular basis of the host-pathogen interaction is unknown. We used laser capture microdissection coupled with RNA-seq technology to characterize the transcriptional responses of infected enterocytes and the host-pathogen interaction.
Proliferative enterocytes was associated with activation of transcription, protein biosynthesis and genes acting on the G1 phase of the host cell cycle (Rho family). The lack of differentiation in infected enterocytes was demonstrated by the repression of membrane transporters related to nutrient acquisition. The activation of the copper uptake transporter by infected enterocytes was associated with high expression of the Zn/Cu superoxide dismutase by L. intracellularis. This suggests that the intracellular bacteria incorporate intracytoplasmic copper and express a sophisticated mechanism to cope with oxidative stress.
The feasibility of coupling microdissection and RNA-seq was demonstrated by characterizing the host-bacterial interactions from a specific cell type in a heterogeneous tissue. High expression of L. intracellularis genes encoding hypothetical proteins and activation of host Rho genes infers the role of unrecognized bacterial cyclomodulins in the pathogenesis of proliferative enteropathy.
Cell proliferation concomitant with bacterial infections has been associated with carcinogenesis in chronic diseases caused by Helicobacter pylori, Salmonella typhi and Citrobacter rodentium. Proliferative changes resulting in a hyperplastic but non-carcinogenic process is induced in Lawsonia intracellularis and Bartonella spp. infections . The inflammatory mediators generated during the chronic gastritis in H. pylori infections have been related with oxidative DNA damage and cell transformation [2, 3]. However, other gram negative pathogenic bacteria (e.g. L. intracellularis and C. rodentium) are able to promote enterocyte proliferation with minimal inflammatory responses [4, 5]. C. rodentium induces proliferation of mouse colonic enterocytes when it attaches to the apical membrane . It is believed that L. intracellularis escapes from the endosome after internalization and multiplies freely in the cytoplasm of undifferentiated intestinal crypts promoting their proliferation and progressive replacement of the differentiated intestinal epithelium by immature infected enterocytes. Although early pathogenesis studies also reported the ability of L. intracellularis to infect mature enterocytes, the bacterium seems to establish the infection in crypt cells . These unusual pathological changes characterized by the presence of a large number of intracellular bacteria and proliferation of enterocytes suggests that L. intracellularis has adopted mechanisms of survival and pathogenesis that are unique among bacterial pathogens . To date, hypotheses and speculations have been discussed regarding the pathogenesis of this infection but, the underlying mechanisms by which L. intracellularis induces proliferative changes have not been addressed.
Lawsonia intracellularis is an obligate intracellular bacterium and the etiologic agent of proliferative enteropathy (PE) . Mild to severe diarrhea is the major clinical sign described in infected animals and is directly associated with cell proliferation and replication of the bacteria in the intestinal epithelium . PE is endemic in swine herds, an emerging disease in horses and has been reported in various other species, including non-human primates, wild mammals and ratite birds [10–13]. Microscopically, different levels of hyperplasia in the intestinal crypts associated with significant reduction in the number of goblet cells are observed in animals affected with PE. Although inflammation is often observed at late stages of the disease, it does not represent a primary characteristic associated with L. intracellularis infection.
The disease was first reported in 1931 but, due to its fastidious properties, porcine L. intracellularis was first isolated in 1993 using rat small intestinal cells cultured in a strictly defined microaerophilic environment [14, 15]. Since then, the chronological dynamics of infection in vitro and in vivo have been well-characterized [16, 17]. While proliferative changes in vivo follow an increase in the number of intracellular bacteria, the bacterium is not able to induce proliferation in infected cells in vitro. This intriguing observation associated with the fastidious properties of this bacterium has limited the studies on the pathogenesis of L. intracellularis. Additionally, the adaptation of this microaerophilic, but obligate intracellular organism to grow freely in the cytoplasm of metabolically active enterocytes suggests that this organism has properties that are novel and unique among bacterial pathogens.
In the present study, we hypothesized that genes expressed by L. intracellularis in the host cytoplasm are capable of inducing proliferation and preventing differentiation of immature enterocytes by altering cell cycle-associated pathways. We established a method integrating laser capture microdissection (LCM) and RNA-seq technology to characterize the host gene expression and the host-bacterial interactions in vivo. Activation of transcription, protein synthesis and Rho family genes in infected enterocytes characterized the transcriptional mechanisms involved in the cell proliferation. The ability of L. intracellularis in preventing enterocyte differentiation and maturation was proved by the consistent down-regulation of apical membrane transporters related to nutrient acquisition by infected enterocytes. The intracellular bacteria showed high level of expression of a sophisticated oxidative protection mechanism which involves redox enzymes and a rubrerythrin-rubredoxin operon (rubY-rubA). Rho genes expressed by the host and associated with the high expression of bacterial genes encoding hypothetical proteins implies a potential role of unrecognized bacterial effector proteins that modulate eukaryotic cell cycle (cyclomodulins) in the pathogenesis of PE.
Technical characterization of the LCM coupled with RNA-seq analysis
Based on previous studies reporting the chronological course of the L. intracellularis infection in vivo[19, 20], experimentally-infected pigs in our study were monitored every other day regarding clinical signs (diarrhea and general attitude) and quantitative fecal shedding of L. intracellularis DNA until the end point of the study (21 PI). The negative control group was also monitored and its negative status was consistent throughout the study period. One animal from the infected group exhibiting only mild to moderate lesions typical of PE associated with grade 1 and 2 in the IHC grading scheme was discarded from the experiment. In order to have the same number of replicates in both infected and control groups, one animal was randomly discarded from the negative control group. As a result, five biological replicates (animals) from each group were included in the LCM procedures and RNA-seq analysis.
The sequence reads representing the RNA transcripts derived from the host cells and the intracellular bacteria were mapped onto both pig (S. scrofa 10.2) and the L. intracellularis (PHE/MN1-00) reference genomes available at NCBI. From a total average of 22,136,064 reads generated, 82% (18,280,138) and 4% (1,000,440) were mapped against the porcine and the bacterium genome, respectively (Additional file 1: Table S2). A total of 11,778 genes were expressed in the porcine genome and met the criteria for differential expression analysis (see Materials and Methods). Up-regulation of 119 and down-regulation of 46 protein coding genes were identified in infected enterocytes (fold-change ≥2.0; p<0.05) (Additional file 2: Table S3).
The top 20 highly expressed genes by L. intracellularis in the enterocyte cytoplasm
Elongation factor Tu (tufA)
Cu-Zn superoxide dismutase precursor (sodC)
Dioxygenases related to 2-nitropropane dioxygenase
Molecular chaperone DnaK
Hydrogenase-1 small subunit
Outer membrane protein related to OmpA-OmpF porin
Hypothetical protein related to secretion system effector C
Pseudouridine synthase (truB)
50S ribosomal protein L13
Methyl-accepting chemotaxis protein (pilJ)
In order to screen for the presence of any other microbial organisms in the experimental samples, the sequence reads were also mapped against viral, bacterial and archaeal genome databases. While no detectable hits were found against the viral and archaeal genomes, 0.052% and 0.084% of the sequence reads from the infected and control group, respectively, were mapped against the bacterial database. Three unculturable bacterial species (Candidatus Zinderia, Candidatus Carsonella ruddii, Candidatus Sulcia muelleri) and Propionibacterium acnes were commonly found in both groups. An uncharacterized species of the genus Peptoniphilus previously reported in the oral cavity of a human was exclusively found in the control group.
Protein biosynthesis and transcription
The four cell networks most associated with the genes differentially expressed in Lawsonia -infected enterocytes
Associated network functions
Protein Synthesis, Cellular Assembly and Organization, Molecular Transport
RNA Post-Transcriptional Modification, Cancer, Hematological Disease
Cellular Movement, Cancer, Reproductive System Disease
Cell Death and Survival, Carbohydrate Metabolism, Molecular Transport
* Based on the number of network eligible genes within the referred network.
Functional clustering associated with genes differentially expressed in Lawsonia -infected enterocytes
Positive regulation of transcription
Transcriptional enhancer factor 1
SWI/SNF complex subunit SMARCC2-like
Transcription factor SOX-9
Four and a half LIM domains 2
Mitotic cell cycle-associated genes
Cyclin-dependent kinase 2
Ras homolog family member A
Ras homolog family member B
Ras-related GTP-binding protein A
60S ribosomal protein L24-like
Spindle and kinetochore-associated protein 2-like
Proteasome subunit alpha type-1-like
Signaling lymphocytic activation molecule 7
Complement component C6
Complement component C9
Tumor necrosis factor ligand 10
Vav 2 guanine nucleotide exchange factor
Defender against cell death 1
Non-metastatic cells protein
Protein phosphatase 2, catalytic subunit, beta isozyme
Ras homolog family member A
Translationally-controlled tumor protein-like
Receptor erythroblastic leukemia viral oncogene
Cell cycle and apoptosis
In addition to the positive regulation of transcription, DAVID clustering analysis identified genes associated with cell cycle and apoptotic events differentially expressed in infected enterocytes (Table 3). Cell cycle-associated genes mainly represented by Ras homolog proteins were significantly induced in association with Cyclin-dependent kinase 2 (CDK2). The aberrant activation of Rho-genes including those described in our study has been well-described in oncogenesis by causing deregulation of cell cycle progression and promoting cell proliferation . Additionally, the co-expression of Rho proteins and Cyclin-dependent kinases (CDKs) specifically act by stimulating the entry and progression of the G1 phase of the host cell cycle .
Nutrient acquisition and electrolyte secretion
Consistent down-regulation of numerous genes expressed in the apical membrane of enterocytes that are involved in nutrient acquisition was observed in Lawsonia-infected cells (Figure 4A). These membrane transporters are involved in the absorption of carbohydrates (sodium/glucose co-transporter and sucrase-isomaltase), amino acids (cationic amino acid transporter), bile acid (sodium/bile acid co-transporter), lipids (lipid phosphate phosphohydrolase) and Vitamin B12 (cubilin receptor). Additionally, the intracellular infection also affects the electrolyte secretion by decreasing expression of the chloride channel gene (CLCA1). The reduction of both nutrient acquisition and electrolyte secretion indicates that L. intracellularis may be able to prevent cell differentiation in immature enterocytes.
In contrast to the down-regulation of genes expressed on the apical membrane, the gene encoding the glucose transporter 1 (also known as solute carrier family 2, glucose transporter member 1) was highly up-regulated in infected enterocytes. This transporter was the third highest expressed gene (Additional file 2: Table S3) and its expression also has been reported on the basolateral membrane of human enterocytes in vitro and rat jejunum in vivo. Additionally, significant up-regulation of the high-affinity copper uptake protein (CTR1) involved in copper absorption was also found in infected enterocytes (Figure 4A).
The transcriptional landscape of the intracellular bacteria was determined by classifying all genes with at least one mapped read into one of three levels of expression: low, moderate and high. As expected, genes encoding ribosomal-related proteins were the functional category most associated with the mapped reads and the majority of these genes exhibited moderate to high expression. The L. intracellularis gene expression was characterized and discussed based on the most highly expressed bacterial genes (Table 1).
The functional categories of bacterial genes that were highly expressed included those involved in protein folding (e.g. groES-groEL operon and chaperone dnaK) and biosynthesis (e.g. elongation factor Tu), oxidative stress (e.g. Cu-Zn superoxide dismutase, rubY-rubA operon and dioxygenases), secretion system effector-related proteins (PcrH-SseC-LI1159 operon) and various hypothetical proteins. Since we were not able to distinguish free bacteria in the cell cytoplasm from those organisms within cell endosomes, the host-pathogen interaction was discussed considering both scenarios. Figure 4B illustrates the biological activities of the bacterial proteins encoded by highly expressed genes considering the intracellular microenvironment of Lawsonia-infected enterocytes.
While redox enzymes catalyze reduction of O2 derived from the cell cytoplasm, Cu-Zn superoxide dismutase C (sodC) and rubrerythrin-rubredoxin operon (rubY-rubA) neutralize reactive oxygen species (O2- and H2O2) generated in the endosome or from the reduced O2 molecule (Figure 4B) . An operon genetically related to the Salmonella pathogenicity island 2 (SPI2) composed of three genes, a chaperone (PcrH), an effector protein (SseC) and a hypothetical protein LI1159 (referred as Sse?) was highly expressed (Figure 4B). Interestingly, genes encoding the type III secretion system (TIIISS) apparatus whereby these effector proteins would be delivered to the cell cytoplasm showed only moderate expression (data not shown) and were located downstream of the SPI2-related operon on the L. intracellularis chromosome.
Among the ten genes most highly expressed by the intracellular bacterium, five represented hypothetical proteins. A summary of the predictive analyses evaluating their structures and biological functions are described in the supplemental material (Additional file 4: Table S4). Two different families of proteins were predicted for the gene locus LI0447 (aminomethyltransferase beta-barrel and growth factor receptor domain). Additionally, transmembrane proteins (porin and autotransporter), proline isomerase, extracellular protease and secretory factor were also identified based on predictive motifs.
The present study used LCM technology to microscopically dissect enterocytes from pigs experimentally infected with L. intracellularis and to characterize the cell and the bacterial gene expressions using high throughput sequencing (RNA-seq). The results demonstrated the usefulness of coupling LCM and RNA-seq techniques to study the host-pathogen interaction in a specific cell population present in a heterogeneous tissue. The simultaneous evaluation of the gene expression changes in both the host and the pathogen has been recently designated dual RNA-seq . The challenge in studying both sets of transcriptional profiles from a common sample arises mainly because of the extensive variety of the bacterial organisms regarding their genomic compositions (e.g. %CG contents) and the particular characteristics of each infectious process at the cellular level. Since the abundance of eukaryotic RNA is significantly higher compared to the prokaryotic RNA in an infected cell, a sufficient number of bacteria per host cell followed by an unbiased RNA amplification step are crucial for studying the cell-bacteria interactions . In light of this, we established the endpoint of our study (21 days PI), based on the chronological course of the L. intracellularis infection previously described [17, 29]. This previous study demonstrated a progressive increase in the number of L. intracellularis in the feces of infected pigs from day two (102) through day 22 (106) post-infection. Confirming these previous observations, our study showed at 21 days PI, numerous bacteria in proliferative enterocytes indicating the active stage of the infectious process. We hypothesized that the disease at this point was approaching its peak when the intracellular bacteria were exhibiting their virulence factors and the host cells were responding to the pathogen at appropriate levels to allow us to evaluate the changes in gene expression. We believe that earlier endpoints would not provide a sufficient amount of RNA to be recovered and later stages of the disease would not represent the logarithmic phase of the bacterial growth. Additionally, the increasing presence of L. intracellularis within the lamina propria along the disease progression would also reduce the number of bacteria in enterocytes. In addition to the limitation of having only one time point, our study also could not evaluate the role of soluble proteins and growth factors secreted into the extracellular matrix of the lamina propria and their influence in the enterocyte proliferation and differentiation.
A previous chronological analysis using microarray technology evaluated the host response of fibroblastic cells in vitro at three time points (24, 48 and 72 hours PI) . Altered transcription of genes related to cell cycle and cell differentiation were described . However, cellular proliferation which is the main phenotypic characteristic of the L. intracellularis infections in vivo has not been reproduced in in vitro models [14, 18]. Furthermore, the transcriptional response of mesenchymal cells which are not the natural target cells for L. intracellularis needs to be interpreted with caution.
A single time point analysis of the host gene expression profile using intestinal tissues from pigs naturally affected with PE was recently described . Although this study provided an interesting snapshot of the transcriptional host response, it used field cases of diarrhea where the samples were co-infected with porcine circovirus type 2 which may be a confounding factor in the evaluation of the expression of genes especially related to the immune response . Additionally, the microarray was performed using entire intestinal tissues. As a result, the specific characterization of the transcriptional host response was impaired by either the heterogeneity of the cell population included in the intestinal tissues or the virus infection. By applying the LCM technique to isolate ileal enterocytes in our study, we confirmed the identification of several genes specifically expressed in the intestinal epithelium of the ileum (e.g. ileal sodium/bile acid cotransporter) corroborating with a recent comprehensive study describing the gene expression atlas of the domestic pig .
Gene network and pathway analyses revealed that protein biosynthesis and activation of transcription were the host cellular events most associated with the genes differentially expressed in Lawsonia-infected enterocytes (Figure 3A). In agreement with these molecular findings, ultrastructural studies in vivo using electron microscopy identified the numerous bacteria occupying the apical cytoplasm of infected enterocytes which was otherwise composed almost entirely of free ribosomes and scattered mitochondria [29, 33]. These morphological findings associated with our molecular results suggest a global increase in the cell metabolism in response to L. intracellularis infection. Taking the host cell cycle events into consideration, an increase in protein synthesis and transcription is required during the G1 phase in order to prepare the cell for subsequent division . Interestingly, this protein synthesis network was also associated with cell proliferation at an early stage of infection with human immunodeficiency virus .
The differential expression of cell cycle-associated genes identified by the functional clustering analysis (Table 3) showed specific activation of Rho family genes (RhoA, RhoB and Rho GTPase). These molecules play a key role in carcinogenesis through their aberrant activation which results in cell proliferation . Rho family proteins specifically act on the G1-checkpoint of the cell cycle when the transition to commit the cell to the proliferative stage occurs. If the signals responsible for promoting this transition are not present then the cells enter into the non-proliferative phase (G0) . Additionally, a gene encoding Rho GTPase was also highly up-regulated during L. intracellularis infection in vitro, suggesting that exacerbated activation of the G1 phase is an important mechanism involved in the proliferative changes induced by L. intracellularis in infected enterocytes.
In addition to their roles in cancer development, Rho proteins are also pathologically activated by bacterial toxins also known as cyclomodulins [1, 35, 36]. Cytotoxic necrotizing factor (CNF) found in uropathogenic Escherichia coli, Pasteurella multocida toxin (PMT) and dermonecrotic toxin of Bordetella spp. act directly on Rho family proteins to bring about their irreversible activation . Furthermore, CNF-expressing E. coli establish a persistent intracellular infection in the urogenital tract and suppress apoptosis by affecting the transcription levels of Bcl-2 family genes . It is thought that apoptosis inhibition in target cells may favor bacterial persistence at the epithelium surface, thereby favoring bacterial replication and spread inside the host cell . Although our study showed a predominant activation of anti-apoptotic-related genes compared with pro-apoptotic events, the Bcl-2 gene was not significantly activated in infected cells (log2-fold change = 1.06). Therefore, other mechanisms may be involved in the predominant activation of anti-apoptotic genes identified in the present study.
The contribution of apoptotic mechanisms for the pathogenesis of L. intracellularis infections has been speculated over the years and still needs to be elucidated. Initially, a temporary reduction in apoptosis was hypothesized to be an important mechanism involved in the cell proliferation . Later studies suggested an increase in apoptosis based on the Caspase-3 immunohistochemical staining [8, 39]. One of these studies described the dynamic of the Caspase-3 staining through the chronological evaluation of experimentally-infected animals and showed variations on the pattern of Caspase-3 staining within different parts of the intestinal mucosa on day 19 PI . Our study showed activation of the gene-encoding Caspase-3 (log2-fold change = 1.12) in infected enterocytes, but the level did not reach the parameters for statistical significance. Considering the complexity and dynamism of the apoptosis process, the stage of the infection at the cellular level may directly influence the apoptotic gene network. Therefore, an in vitro model displaying the proliferative phenotype would be an ideal starting point to address this question. Despite the reduced expression of these two immune response-associated genes identified in our study, we observed significant up-regulation of MHC-I genes in infected cells, indicating that Lawsonia-derived antigen is presented to the lamina propria through the basal membrane of infected enterocytes (Figure 4A).
Although the physiopathology of diarrhea in L. intracellularis infections remains to be elucidated , the significant down-regulation of numerous genes related to nutrient acquisition observed in the present study indicates that malabsorptive diarrhea represents the major mechanism involved in the poor performance and growth of affected animals. Supporting our observations, a lower absorption of glucose and electrolytes was reported using a hamster experimental model of PE . The reduced expression of nutrient acquisition-related genes also indicates the lack of cell differentiation in infected enterocytes.
The deficiency in nutrient acquisition described above seems to contrast with the increase in the cell metabolism characterized by the activation of transcription and protein synthesis-related genes also described here. As proposed in the Figure 4A, the high expression of the glucose transporter SLC2A1 on the basolateral membrane appears to compensate for this lack of nutrient acquisition from the intestinal lumen, since it has been described as being expressed in the basolateral membrane of human enterocytes in vitro and rat jejunum in vivo.
The only gene significantly up-regulated in infected cells which is involved in nutrient acquisition and is physiologically expressed on the apical membrane is the high-affinity copper uptake gene . Copper is an essential metal used by eukaryotic cells as a biochemical cofactor especially during the process of oxygen reduction by cytochrome c oxidase which leads to the production of ATP . The production of ATP by the eukaryotic host is crucial for metabolism of Lawsonia and two other groups of obligate intracellular bacteria (Chlamydiales and Rickettsiales). These organisms express ATP/ADP translocase which catalyze the exchange of bacterial ADP for host ATP allowing bacteria to exploit their hosts’ energy pool, a process referred to as energy parasitism [44, 45]. In addition to this essentiality for host cells, an increase in copper uptake has also been reported as a defense mechanism against intracellular pathogens because of its toxic properties. Free intracellular copper can lead to oxidative stress whereby cycling of copper oxidation and reduction produce reactive oxygen species through the Fenton reaction . Interestingly, our study identified L. intracellularis genes related to oxidative stress highly expressed within the host cytoplasm (Figure 4B).
Three to five percent of the sequence reads generated in our study also mapped against the L. intracellularis genome. Less than 0.1% of the sequence reads mapped against four bacterial species commonly found in both infected and non-infected groups, when screened for the presence of virus and other bacteria. While three of these species represent unculturable organisms (Candidatus) related to insect symbionts, one (Propionibacterium acnes) is part of the normal flora of the skin, oral cavity, large intestine, the conjunctiva and the external ear canal of humans . The identification of the genus Peptoniphilus, found exclusively in the control group, may be due to human contamination during the experimental procedures, since it was reported in the oral cavity through the human microbiome project (NCBI accession: PRJNA52051).
L. intracellularis genes belonging to the oxidative stress protection were the functional cluster most associated with genes highly expressed in the host cytoplasm. Although this fastidious organism requires a strict microaerophilic environment for cultivation in cell culture, Lawsonia is often located close to the cell mitochondria, where the transport of oxygen is continuous due to the oxidative phosphorylation . Additionally, this intracellular location is important to exploit the host energy pool by exchanging bacterial ADP for host generated ATP, as discussed earlier. Based on this scenario, our study demonstrated that L. intracellularis displays a sophisticated mechanism to survive in this microenvironment by coping with the oxidative stress and potentially incorporating intracytoplasmic copper taken by the host to combat the intracellular infection (Figure 4A).
Our study identified high expression of an operon (PcrH-SseC-Sse) genetically related to the SPI2. The proteins included within this operon act as a translocon attached to the phagosomal membrane to allow translocation of effector proteins into the cell cytoplasm . We hypothesize that this operon was highly expressed by L. intracellularis organisms in the cell endosome (Figure 4B).
We found five genes encoding hypothetical proteins among the ten highest expressed by L. intracellularis (Table 1). From the host gene expression, we identified significant activation of Rho family genes which are crucial for the progression of the G1 phase of the host cell cycle and are targeted by bacterial toxins . Taken together, this evidence suggests the presence of an unrecognized cyclomodulin encoded by those highly expressed genes of L. intracellularis. Our results form the basis for future studies focusing on the specific properties and functions of these genes.
The present study established a method integrating laser capture microdissection and RNA-seq technology to characterize both the host and the bacterial gene expressions in vivo. This methodology was applied to investigate the proliferative changes induced by an obligate intracellular pathogen, Lawsonia intracellularis, in intestinal crypt cells. The proliferative changes in infected enterocytes were associated with deregulation of the G1 phase of the host cell cycle based on the activation of transcription, protein synthesis and Rho family genes [22, 24]. The ability of L. intracellularis in preventing enterocyte differentiation and maturation was proved by the consistent down-regulation of apical membrane transporters related to nutrient acquisition (Figure 4A). The gene encoding copper uptake protein was the only apical membrane transporter activated in the Lawsonia-infected cells indicating a host defense mechanism by inducing copper toxicity . High expression of the Cu/Zn superoxide dismutase (sodC) gene by L. intracellularis suggests that the intracellular bacteria incorporate intracytoplasmic copper to cope with oxidative stress. In addition to sodC, the intracellular bacteria showed high level of expression of a sophisticated oxidative protection mechanism which involves redox enzymes and rubrerythrin-rubredoxin operon (Figure 4B). Finally, Rho genes expressed by the host and associated with the high expression of bacterial genes encoding hypothetical proteins implies a potential role of unrecognized bacterial effector proteins that modulate eukaryotic cell cycle (cyclomodulins) in the pathogenesis of PE.
Preparation and quantification of L. intracellularisinoculum
The porcine pathogenic L. intracellularis strain PHE/MN1-00 was previously isolated and continuously grown in cell culture using murine fibroblast-like McCoy cells (ATCC CRL 1696) for 10 passages . The bacteria were then pelleted, suspended in sucrose-potassium glutamate (pH 7.0; 0.218 M sucrose, 0.0038 M KH2PO4, 0.0072 M K2HPO4 and 0.0049 M potassium glutamate) solution with 10% fetal bovine serum and stored at −80°C until the day of infection. The number of L. intracellularis organisms was assessed by direct counting after immunoperoxidase staining  and by quantitative PCR (qPCR), as described elsewhere .
Twelve Duroc-Landrace cross pigs at 3-weeks-of-age were divided into two groups: infected and control (n = 6/group). The animals were obtained from a herd with no history of PE and each treatment group was housed in a different pen. Prior to the study, blood and fecal samples from all animals were collected and tested for L. intracellularis-specific antibodies by immunoperoxidase monolayer assay (IPMA) and for the presence of Lawsonia DNA in the feces in order to confirm their negative status [11, 49]. The animals were allocated in the isolation barns at the College of Veterinary Medicine of the University of Minnesota and fed with non-medicated nursery feed and water ad libitum. All procedures were approved by the Institutional Animal Care and Use Committee of the University of Minnesota. The infected group was orally inoculated with 30 ml of L. intracellularis culture at 108 organisms per ml. The non-infected group was orally treated with sodium-phosphate-glutamate (SPG) solution. Fecal samples were collected every other day and analyzed by qPCR for the presence L. intracellularis DNA .
Tissue collection and preservation
All animals were euthanized 21 post-infection (PI) approaching the peak of the clinical disease, as described previously . Immediately after euthanasia, the ileal mucosa was washed three times with PBS solution containing 2.0 U/μl RNAse inhibitor (Roche Applied Science) . A total of six tissue samples from each animal were collected, placed into plastic cryomold cassette (Tissue-Tek® Sakura Finetek) in longitudinal orientation and embedded in optimal cutting temperature (OCT) compound (Tissue-Tek® Sakura Finetek). The samples were then placed onto blocks of dry ice until the tissues and OCT were frozen to a solid white. All samples were stored at −80°C until use.
Laser capture microdissection
Five serial 8-μm frozen sections were cut at −20°C using RNAse-free blades and mounted on StarFrost® RNAse-free slides (Fisher Scientific). The first and fifth cryosections (reference slides) were evaluated by immunohistochemistry (IHC) using the streptavidin method with polyclonal antibodies specific for L. intracellularis. In these two reference slides the levels of infection were assessed based on the amount of positively labeled antigen present in the intestinal sections: Grade 0 (−) = no positive antigen labeled; Grade 1 (+) = one isolated focal area of antigen labeled; Grade 2 (++) = multi-focal areas of antigen labeled; Grade 3 (+++) = majority of the mucosa has positive antigen labeled; and Grade 4 (++++) = all of the mucosa has positive antigen labeled . The series of slides containing the two flanking pairs of reference slides most severely infected (grade 3 or 4) was selected for LCM from each animal. Similar anatomic portions of the ileum were collected from the control group and stained by IHC to confirm the negative status of the samples. One non-infected series of cryosections was selected for LCM from the similar anatomic portion of those selected in the infected group.
The LCM procedures were performed in the second, third and fourth serially-cut slides using HistogeneTM staining (Life Technologies). Briefly, the specimens were thawed at room temperature for 30s, fixed in nuclease-free 75% ethanol, rehydrated in nuclease-free water for 30s, stained with HistoGene® solution for 20s and rinsed in water for 30s, then dehydrated by sequential immersion into 75%, 95% and 100% ethanol for 30s each. All microdissection procedures were performed at the College of Biological Sciences Imaging Center at the University of Minnesota using PixCell® II System (Life Technologies). Single-cells were captured from the slides using CapSure LCM caps (Life Technologies) with laser spot diameter 7.5 μm, power 60 mW and duration 650 μs. Approximately, one thousand cells were captured from the bottom to the upper part of the intestinal crypts (Figure 1A and 1B) in each of the three stained slides in approximately ten minutes, incubated at 42°C for 30 min in 50 μl extraction buffer and stored at −80°C. The microdissected cells from each of the three serially-cut slides were pooled and used for the RNA extraction.
RNA isolation and amplification
Total RNA was isolated from microdissected tissues using a PicoPure™ Kit (Life Technologies) according to the manufacturer’s instructions. Genomic DNA was digested using DNase I (Qiagen). RNA samples were then assessed with a NanoDrop ND-8000 Spectrophotometer and Agilent Bioanalyzer 2100. Amplified cDNA was prepared from 100 ng of total RNA using the Ovation® RNA®Seq System V2 (Nugen®), following the manufacturer’s instructions. The amplification was initiated at the 3’ end as well as randomly throughout the sample which allows the amplification of eukaryotic and prokaryotic RNA transcripts. The amplified cDNA generated was then purified using MinElute Reaction Cleanup Kit (Qiagen) for library preparation.
Library preparation and sequencing
The library preparation and sequencing were conducted in the core facility of the Biomedical Genomics Center at the University of Minnesota. Briefly, 100 ng of the amplified cDNA was fragmented, ends repaired, enriched by PCR and validated using High Sensitivity Chip on the Agilent2100 Bioanalyzer. Following quantification of the cDNA generated for the library using PicoGreen Assay, the samples were clustered and loaded on the Illumina® Genome Analyzer GA IIx platform which generated on average 22,136,064 paired reads of 100 bp. Base calling and quality filtering were performed following the manufacturer’s instructions (Illumina® GA Pipeline).
Filtering and mapping of sequence reads
Quality control, trimming and mapping were performed in the Galaxy platform . Initially, FastQC tool was applied to the raw sequence data followed by FastQ Trimmer . As a result, 15 base pairs were trimmed from the 5’end and ten from the 3’end of each raw sequence read. Sequences containing 75 bp and a phred quality score of more than 20 were used in the gene expression analysis . Using Bowtie short read aligner with no more than two mismatches, the filtered sequences were mapped onto the pig genome S. scrofa 10.2 and the L. intracellularis isolate PHE/MN1-00 reference genome, both obtained from the National Center for Biotechnology Information (NCBI) database . The number of reads mapped within each annotated transcript was calculated in order to estimate the level of transcription for each gene. Cufflinks tool was used to estimate the relative abundances of the transcript reads for each gene . For comparing the levels of gene expression between infected and non-infected enterocytes and characterizing the abundance of L. intracellularis transcripts expressed in the host cytoplasm, the read counts were normalized based on the number of reads per kilobase of coding sequence per million mapped reads (RPKM).
In order to determine any potential co-infection associated with the intracytoplasmic L. intracellularis, the sequence reads were screened against 4,279 viral sequences available at NCBI database. Additionally, MetaPhlAn (Metagenomic Phylogenetic Analysis) was performed to identify other bacterial genome sequences in the experimental samples .
Differential gene expression
The differential gene expression between infected and non-infected enterocytes was assessed using the CuffDiff tool. This tool defines the total read count for each gene by combining the expression data from all the replicates in each experimental group and testing for differential regulation in expressed transcripts present in at least three replicates. RPKM values were expressed in log2 (RPKM) to allow the statistical comparison. As a result, log2-fold change in abundance of each transcript was obtained by log2 (RPKM [infected]/RPKM [non-infected]). P-values were calculated and adjusted for multiple comparisons using false discovery rate (FDR) . Significant differential expression was determined in genes with FDR-adjusted p-values < 0.05 and fold change ± 2.
Functional gene ontology and pathway analysis
Biological functions and interactions of the genes differentially expressed were determined using the database for annotation visualization and integrated discovery (DAVID v6.7) and the Ingenuity pathway analysis (IPA) (Ingenuity® Systems). While the DAVID knowledge database was used for functional clustering, the mammalian knowledge database of the IPA was used for pathway and network analyses of the differentially expressed genes.
Predictive analysis regarding the ontology and motifs of gene-encoding hypothetical proteins highly expressed by L. intracellularis were performed using Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Additionally, Phyre2 (Protein Homology/analogY Recognition Engine)  and ConFunc (Protein Function Prediction Server)  software were used to predict their biological functions and three-dimensional structure.
Reverse transcription PCR
In addition to the assessment of RNA quality based on the bacterial and eukaryotic ribosomal RNAs using Agilent Bioanalyzer 2100, one-step RT-PCR was applied to the RNA extracted from microdissection tissues in order to evaluate the quality of bacterial mRNA for RNA-seq analysis. The one-step RT-PCR (Qiagen®) was used with specific primers (Additional file 3: Table S1) targeting three housekeeping genes of L. intracellularis.
Quantitative RT-PCR (qRT-PCR) was performed for validating the expression data identified by RNA-seq using a specific set of genes from the host and bacterium (Additional file 3: Table S1). RNA samples were synthesized to first-strand cDNA using SuperScript® II RT (Invitrogen). Duplicate qRT-PCR reactions from each primer probe set were validated by five serial dilutions of cDNA on the ABI7900HT instrument (Applied Biosystems). After validation, quantitative PCR was performed in duplicate using 15ng of cDNA per sample with the following conditions: 60°C for 2 min, 95°C for 5 min and 45 cycles (95°C/10 sec and 60° for 1 min). The differential expression for the host gene expression were described as relative fold-change between infected and non-infected enterocytes based on Ct values (2-∆∆Ct), as previously described . The suitability of four porcine housekeeping genes (Beta actin, Cyclophilin A, Hypoxanthine phosphoribosyltransferase, Ribosomal protein L4) for qRT-PCR analysis was evaluated.
Based on consistent Cyclophilin A gene expression throughout the biological replicates, this gene was used to normalize the expression data. For the bacterial gene expression, averages of relative transcriptional levels normalized by the 30S ribosomal gene were calculated and compared to the RNA-seq expression levels. A linear regression model was used to evaluate the correlation between average RPKM and qRT-PCR data, as described previously .
We thank Molly Kelley for technical lab assistance, the Imaging Center of the University of Minnesota for the technical assistance regarding the laser capture microdissection procedures and the Minnesota Supercomputing Institute at the University of Minnesota for technical data analysis assistance. Fabio Vannucci was supported by the Brazilian government sponsoring agency “Conselho Nacional de Desenvolvimento Científico e Tecnológico” (CNPq).
- Lax AJ, Thomas W: How bacteria could cause cancer: one step at a time. Trends Microbiol. 2002, 10 (6): 293-299. 10.1016/S0966-842X(02)02360-0.View ArticlePubMedGoogle Scholar
- Ikeno T, Ota H, Sugiyama A, Ishida K, Katsuyama T, Genta RM, Kawasaki S: Helicobacter pylori-induced chronic active gastritis, intestinal metaplasia, and gastric ulcer in Mongolian gerbils. Am J Pathol. 1999, 154 (3): 951-960. 10.1016/S0002-9440(10)65343-6.PubMed CentralView ArticlePubMedGoogle Scholar
- Baik SC, Youn HS, Chung MH, Lee WK, Cho MJ, Ko GH, Park CK, Kasai H, Rhee KH: Increased oxidative DNA damage in Helicobacter pylori-infected human gastric mucosa. Cancer Res. 1996, 56 (6): 1279-1282.PubMedGoogle Scholar
- Luperchio SA, Schauer DB: Molecular pathogenesis of Citrobacter rodentium and transmissible murine colonic hyperplasia. Microbes Infect. 2001, 3 (4): 333-340. 10.1016/S1286-4579(01)01387-9.View ArticlePubMedGoogle Scholar
- Smith DG, Lawson GH: Lawsonia intracellularis: getting inside the pathogenesis of proliferative enteropathy. Vet Microbiol. 2001, 82 (4): 331-345. 10.1016/S0378-1135(01)00397-2.View ArticlePubMedGoogle Scholar
- Sellin JH, Wang Y, Singh P, Umar S: beta-Catenin stabilization imparts crypt progenitor phenotype to hyperproliferating colonic epithelia. Exp Cell Res. 2009, 315 (1): 97-109. 10.1016/j.yexcr.2008.10.019.PubMed CentralView ArticlePubMedGoogle Scholar
- McOrist S, Gebhart CJ, Bosworth BT: Evaluation of porcine ileum models of enterocyte infection by Lawsonia intracellularis. Can J Vet Res. 2006, 70 (2): 155-159.PubMed CentralPubMedGoogle Scholar
- Gebhart CJ, Guedes RMC: Lawsonia intracellularis. Pathogenesis of bacterial infections in animals. Edited by: Gyles CL, Prescott JF, Songer JG, Thoen CO. 2010, Fourth edn. Ames, Iowa, USA: Blackwell Publishing, 503-509.View ArticleGoogle Scholar
- Lawson GH, Gebhart CJ: Proliferative enteropathy. J Comp Pathol. 2000, 122 (2–3): 77-100.View ArticlePubMedGoogle Scholar
- Cooper DM, Swanson DL, Barns SM, Gebhart CJ: Comparison of the 16S ribosomal DNA sequences from the intracellular agents of proliferative enteritis in a hamster, deer, and ostrich with the sequence of a porcine isolate of Lawsonia intracellularis. Int J Syst Bacteriol. 1997, 47 (3): 635-639. 10.1099/00207713-47-3-635.View ArticlePubMedGoogle Scholar
- Pusterla N, Mapes S, Rejmanek D, Gebhart C: Detection of Lawsonia intracellularis by real-time PCR in the feces of free-living animals from equine farms with documented occurrence of equine proliferative enteropathy. J Wildl Dis. 2008, 44 (4): 992-998.View ArticlePubMedGoogle Scholar
- Klein EC, Gebhart CJ, Duhamel GE: Fatal outbreaks of proliferative enteritis caused by Lawsonia intracellularis in young colony-raised rhesus macaques. J Med Primatol. 1999, 28 (1): 11-18. 10.1111/j.1600-0684.1999.tb00084.x.View ArticlePubMedGoogle Scholar
- Lavoie JP, Drolet R: Equine proliferative enteropathy: an emerging disease of foals. Equine Vet Educ. 2009, 21 (4): 183-185. 10.2746/095777309X408858.View ArticleGoogle Scholar
- Lawson GH, McOrist S, Jasni S, Mackie RA: Intracellular bacteria of porcine proliferative enteropathy: cultivation and maintenance in vitro. J Clin Microbiol. 1993, 31 (5): 1136-1142.PubMed CentralPubMedGoogle Scholar
- Biester HE, Schwarte LH: Intestinal adenoma in swine. Am J Pathol. 1931, 7 (2): 175-185.176.PubMed CentralPubMedGoogle Scholar
- McOrist S, Jasni S, Mackie RA, Berschneider HM, Rowland AC, Lawson GH: Entry of the bacterium ileal symbiont intracellularis into cultured enterocytes and its subsequent release. Res Vet Sci. 1995, 59 (3): 255-260. 10.1016/0034-5288(95)90013-6.View ArticlePubMedGoogle Scholar
- Guedes RM, Gebhart CJ: Comparison of intestinal mucosa homogenate and pure culture of the homologous Lawsonia intracellularis isolate in reproducing proliferative enteropathy in swine. Vet Microbiol. 2003, 93 (2): 159-166. 10.1016/S0378-1135(03)00013-0.View ArticlePubMedGoogle Scholar
- Vannucci FA, Wattanaphansak S, Gebhart CJ: An alternative method for cultivation of lawsonia intracellularis. J Clin Microbiol. 2012, 50 (3): 1070-1072. 10.1128/JCM.05976-11.PubMed CentralView ArticlePubMedGoogle Scholar
- Guedes RM, Gebhart CJ: Onset and duration of fecal shedding, cell-mediated and humoral immune responses in pigs after challenge with a pathogenic isolate or attenuated vaccine strain of Lawsonia intracellularis. Vet Microbiol. 2003, 91 (2–3): 135-145.View ArticlePubMedGoogle Scholar
- Vannucci FA, Beckler D, Pusterla N: Mapes SM. 2012, Gebhart CJ: Attenuation of virulence of Lawsonia intracellularis after in vitro passages and its effects on the experimental reproduction of porcine proliferative enteropathy. Vet MicrobiolGoogle Scholar
- Mikulowska-Mennis A, Taylor TB, Vishnu P, Michie SA, Raja R, Horner N, Kunitake ST: High-quality RNA from cells isolated by laser capture microdissection. Biotechniques. 2002, 33 (1): 176-179.PubMedGoogle Scholar
- Schafer KA: The cell cycle: a review. Vet Pathol. 1998, 35 (6): 461-478. 10.1177/030098589803500601.View ArticlePubMedGoogle Scholar
- Pruitt K, Der CJ: Ras and Rho regulation of the cell cycle and oncogenesis. Cancer Lett. 2001, 171 (1): 1-10. 10.1016/S0304-3835(01)00528-6.View ArticlePubMedGoogle Scholar
- Coleman ML, Marshall CJ, Olson MF: RAS and RHO GTPases in G1-phase cell-cycle regulation. Nat Rev Mol Cell Biol. 2004, 5 (5): 355-366.View ArticlePubMedGoogle Scholar
- Harris DS, Slot JW, Geuze HJ, James DE: Polarized distribution of glucose transporter isoforms in Caco-2 cells. Proc Natl Acad Sci U S A. 1992, 89 (16): 7556-7560. 10.1073/pnas.89.16.7556.PubMed CentralView ArticlePubMedGoogle Scholar
- Boyer S, Sharp PA, Debnam ES, Baldwin SA, Srai SK: Streptozotocin diabetes and the expression of GLUT1 at the brush border and basolateral membranes of intestinal enterocytes. FEBS Lett. 1996, 396 (2–3): 218-222.View ArticlePubMedGoogle Scholar
- Lumppio HL, Shenvi NV, Summers AO, Voordouw G, Kurtz DM: Rubrerythrin and rubredoxin oxidoreductase in Desulfovibrio vulgaris: a novel oxidative stress protection system. J Bacteriol. 2001, 183 (1): 101-108. 10.1128/JB.183.1.101-108.2001.PubMed CentralView ArticlePubMedGoogle Scholar
- Westermann AJ, Gorski SA, Vogel J: Dual RNA-seq of pathogen and host. Nat Rev Microbiol. 2012, 10 (9): 618-630. 10.1038/nrmicro2852.View ArticlePubMedGoogle Scholar
- McOrist S, Roberts L, Jasni S, Rowland AC, Lawson GH, Gebhart CJ, Bosworth B: Developed and resolving lesions in porcine proliferative enteropathy: possible pathogenetic mechanisms. J Comp Pathol. 1996, 115 (1): 35-45. 10.1016/S0021-9975(96)80026-0.View ArticlePubMedGoogle Scholar
- Oh YS, Lee JB, McOrist S: Microarray analysis of differential expression of cell cycle and cell differentiation genes in cells infected with Lawsonia intracellularis. Vet J. 2010, 184 (3): 340-345. 10.1016/j.tvjl.2009.03.018.View ArticlePubMedGoogle Scholar
- Jacobson M, Andersson M, Lindberg R, Fossum C, Jensen-Waern M: Microarray and cytokine analyses of field cases of pigs with diarrhoea. Vet Microbiol. 2011, 153: 307-314. 10.1016/j.vetmic.2011.06.003.View ArticlePubMedGoogle Scholar
- Freeman TC, Ivens A, Baillie JK, Beraldi D, Barnett MW, Dorward D, Downing A, Fairbairn L, Kapetanovic R, Raza S, et al: A gene expression atlas of the domestic pig. BMC Biol. 2012, 10: 90-10.1186/1741-7007-10-90.PubMed CentralView ArticlePubMedGoogle Scholar
- Rowland AC, Lawson GH: Intestinal adenomatosis in the pig: immunofluorescent and electron microscopic studies. Res Vet Sci. 1974, 17 (3): 323-330.PubMedGoogle Scholar
- Navare AT, Sova P, Purdy DE, Weiss JM, Wolf-Yadlin A, Korth MJ, Chang ST, Proll SC, Jahan TA, Krasnoselsky AL, et al: Quantitative proteomic analysis of HIV-1 infected CD4+ T cells reveals an early host response in important biological pathways: protein synthesis, cell proliferation, and T-cell activation. Virology. 2012, 429 (1): 37-46. 10.1016/j.virol.2012.03.026.PubMed CentralView ArticlePubMedGoogle Scholar
- Oswald E, Nougayrède JP, Taieb F, Sugai M: Bacterial toxins that modulate host cell-cycle progression. Curr Opin Microbiol. 2005, 8 (1): 83-91. 10.1016/j.mib.2004.12.011.View ArticlePubMedGoogle Scholar
- Nougayrède JP, Taieb F, De Rycke J, Oswald E: Cyclomodulins: bacterial effectors that modulate the eukaryotic cell cycle. Trends Microbiol. 2005, 13 (3): 103-110. 10.1016/j.tim.2005.01.002.View ArticlePubMedGoogle Scholar
- Lemonnier M, Landraud L, Lemichez E: Rho GTPase-activating bacterial toxins: from bacterial virulence regulation to eukaryotic cell biology. FEMS Microbiol Rev. 2007, 31 (5): 515-534. 10.1111/j.1574-6976.2007.00078.x.View ArticlePubMedGoogle Scholar
- Mulvey MA, Lopez-Boado YS, Wilson CL, Roth R, Parks WC, Heuser J, Hultgren SJ: Induction and evasion of host defenses by type 1-piliated uropathogenic Escherichia coli. Science. 1998, 282 (5393): 1494-1497.View ArticlePubMedGoogle Scholar
- Boutrup T: Studies of the pathogenesis of porcine proliferative enteropathy caused by Lawsonia intracellularis. 2008, Copenhagen, Denmark: University of CopenhagenGoogle Scholar
- Moeser AJ, Blikslager AT: Mechanisms of porcine diarrheal disease. J Am Vet Med Assoc. 2007, 231 (1): 56-67. 10.2460/javma.231.1.56.View ArticlePubMedGoogle Scholar
- Vannucci FA, Borges EL, de Oliveira JS, Guedes RM: Intestinal absorption and histomorphometry of Syrian hamsters (Mesocricetus auratus) experimentally infected with Lawsonia intracellularis. Vet Microbiol. 2010, 145 (3–4): 286-291.View ArticlePubMedGoogle Scholar
- Sharp PA: Ctr1 and its role in body copper homeostasis. Int J Biochem Cell Biol. 2003, 35 (3): 288-291. 10.1016/S1357-2725(02)00134-6.View ArticlePubMedGoogle Scholar
- Festa RA, Thiele DJ: Copper at the front line of the host-pathogen battle. PLoS Pathog. 2012, 8 (9): e1002887-10.1371/journal.ppat.1002887.PubMed CentralView ArticlePubMedGoogle Scholar
- Schmitz-Esser S, Linka N, Collingro A, Beier CL, Neuhaus HE, Wagner M, Horn M: ATP/ADP translocases: a common feature of obligate intracellular amoebal symbionts related to Chlamydiae and Rickettsiae. J Bacteriol. 2004, 186 (3): 683-691. 10.1128/JB.186.3.683-691.2004.PubMed CentralView ArticlePubMedGoogle Scholar
- Schmitz-Esser S, Haferkamp I, Knab S, Penz T, Ast M, Kohl C, Wagner M, Horn M: Lawsonia intracellularis contains a gene encoding a functional rickettsia-like ATP/ADP translocase for host exploitation. J Bacteriol. 2008, 190 (17): 5746-5752. 10.1128/JB.00391-08.PubMed CentralView ArticlePubMedGoogle Scholar
- Perry A, Lambert P: Propionibacterium acnes: infection beyond the skin. Expert Rev Anti Infect Ther. 2011, 9 (12): 1149-1156. 10.1586/eri.11.137.View ArticlePubMedGoogle Scholar
- McOrist S, Jasni S, Mackie RA, MacIntyre N, Neef N, Lawson GH: Reproduction of porcine proliferative enteropathy with pure cultures of ileal symbiont intracellularis. Infect Immun. 1993, 61 (10): 4286-4292.PubMed CentralPubMedGoogle Scholar
- Nikolaus T, Deiwick J, Rappl C, Freeman JA, Schröder W, Miller SI, Hensel M: SseBCD proteins are secreted by the type III secretion system of Salmonella pathogenicity island 2 and function as a translocon. J Bacteriol. 2001, 183 (20): 6036-6045. 10.1128/JB.183.20.6036-6045.2001.PubMed CentralView ArticlePubMedGoogle Scholar
- Guedes RM, Gebhart CJ, Deen J, Winkelman NL: Validation of an immunoperoxidase monolayer assay as a serologic test for porcine proliferative enteropathy. J Vet Diagn Invest. 2002, 14 (6): 528-530. 10.1177/104063870201400618.View ArticlePubMedGoogle Scholar
- Vannucci FA, Pusterla N, Mapes SM, Gebhart C: Evidence of host adaptation in Lawsonia intracellularis infections. Vet Res. 2012, 43 (1): 53-10.1186/1297-9716-43-53.PubMed CentralView ArticlePubMedGoogle Scholar
- Brown AL, Smith DW: Improved RNA preservation for immunolabeling and laser microdissection. RNA. 2009, 15 (12): 2364-2374. 10.1261/rna.1733509.PubMed CentralView ArticlePubMedGoogle Scholar
- Guedes RM, Gebhart CJ: Preparation and characterization of polyclonal and monoclonal antibodies against Lawsonia intracellularis. J Vet Diagn Invest. 2003, 15 (5): 438-446. 10.1177/104063870301500506.View ArticlePubMedGoogle Scholar
- Giardine B, Riemer C, Hardison RC, Burhans R, Elnitski L, Shah P, Zhang Y, Blankenberg D, Albert I, Taylor J, et al: Galaxy: a platform for interactive large-scale genome analysis. Genome Res. 2005, 15 (10): 1451-1455. 10.1101/gr.4086505.PubMed CentralView ArticlePubMedGoogle Scholar
- Blankenberg D, Gordon A, Von Kuster G, Coraor N, Taylor J, Nekrutenko A, Team G: Manipulation of FASTQ data with Galaxy. Bioinformatics. 2010, 26 (14): 1783-1785. 10.1093/bioinformatics/btq281.PubMed CentralView ArticlePubMedGoogle Scholar
- Ewing B, Hillier L, Wendl MC, Green P: Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 1998, 8 (3): 175-185. 10.1101/gr.8.3.175.View ArticlePubMedGoogle Scholar
- Langmead B, Trapnell C, Pop M, Salzberg SL: Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 2009, 10 (3): R25-10.1186/gb-2009-10-3-r25.PubMed CentralView ArticlePubMedGoogle Scholar
- Trapnell C, Roberts A, Goff L, Pertea G, Kim D, Kelley DR, Pimentel H, Salzberg SL, Rinn JL, Pachter L: Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protoc. 2012, 7 (3): 562-578. 10.1038/nprot.2012.016.PubMed CentralView ArticlePubMedGoogle Scholar
- Segata N, Waldron L, Ballarini A, Narasimhan V, Jousson O, Huttenhower C: Metagenomic microbial community profiling using unique clade-specific marker genes. Nat Methods. 2012, 9 (8): 811-814. 10.1038/nmeth.2066.PubMed CentralView ArticlePubMedGoogle Scholar
- Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B. 1995, 57 (1): 289-300.Google Scholar
- Kelley LA, Sternberg MJ: Protein structure prediction on the Web: a case study using the Phyre server. Nat Protoc. 2009, 4 (3): 363-371. 10.1038/nprot.2009.2.View ArticlePubMedGoogle Scholar
- Wass MN, Sternberg MJ: ConFunc–functional annotation in the twilight zone. Bioinformatics. 2008, 24 (6): 798-806. 10.1093/bioinformatics/btn037.View ArticlePubMedGoogle Scholar
- Bookout AL, Cummins CL, Mangelsdorf DJ, Pesola JM, Kramer MF: High-throughput real-time quantitative reverse transcription PCR. Curr Protoc Mol Biol. 2006, 15: 15-18.Google Scholar
- Vannucci FA, Foster DN, Gebhart CJ: Comparative transcriptional analysis of homologous pathogenic and non-pathogenic lawsonia intracellularis isolates in infected porcine cells. PLoS One. 2012, 7 (10): e46708-10.1371/journal.pone.0046708.PubMed CentralView ArticlePubMedGoogle Scholar
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