A novel reverse transduction adenoviral array for the functional analysis of shRNA libraries
© Oehmig et al; licensee BioMed Central Ltd. 2008
Received: 01 April 2008
Accepted: 24 September 2008
Published: 24 September 2008
The identification of novel drug targets by assessing gene functions is most conveniently achieved by high-throughput loss-of-function RNA interference screening. There is a growing need to employ primary cells in such screenings, since they reflect the physiological situation more closely than transformed cell lines do. Highly miniaturized and parallelized approaches as exemplified by reverse transfection or transduction arrays meet these requirements, hence we verified the applicability of an adenoviral microarray for the elucidation of gene functions in primary cells.
Here, we present microarrays of infectious adenoviruses encoding short hairpin RNA (shRNA) as a new tool for gene function analysis. As an example to demonstrate its application, we chose shRNAs directed against seven selected human protein kinases, and we have performed quantitative analysis of phenotypical responses in primary human umbilical vein cells (HUVEC). These microarrays enabled us to infect the target cells in a parallelized and miniaturized procedure without significant cross-contamination: Viruses were reversibly immobilized in spots in such a way that the seeded cells were confined to the area of the viral spots, thus simplifying the subsequent addressing of genetically modified cells for analysis. Computer-assisted image analysis of fluorescence images was applied to analyze the cellular response after shRNA expression. Both the expression level of knock-down target proteins as well as the functional output as measured by caspase 3 activity and DNA fractionation (TUNEL) were quantified.
We have developed an adenoviral microarray technique suitable for miniaturized and parallelized analysis of gene function. The practicability of this technique was demonstrated by the analysis of several kinases involved in the activation of programmed cell death, both in tumor cells and in primary cells.
In the years following the completion of the human genome sequencing projects, a variety of genome-wide screening procedures for functional analysis were developed. For instance, plasmid vectors were applied to transfer cDNA for over-expression, or, alternatively, shRNA knock-down cassettes for gene silencing . To this end, different plasmid vectors complexed with transfection reagents were immobilized in microspots delivered to planar glass slides, which were subsequently covered with a monolayer of cells. The cells took up the genetic information (reverse transfection) and phenotypic alterations were functionally assayed . However, many primary cells are not amenable to classical transfection protocols. In these cases viral vectors are the only means to genetically manipulate the target cells. This instigated us to test the suitability of viral vectors for arraying, for which purpose we have chosen adenovirus as a model. In the meantime, similar arraying experiments were carried out using lentivirus  and retrovirus .
We have generated a microarray of infectious adenovirus to convey genetic information into the target cells (reverse infection). By choosing an adequate blocking procedure, we managed to strictly confine the cells to the viral spots, preventing adherence to areas without genetic information. By co-expressing fluorescent markers, we could differentiate infected cells from non-infected cells, thus facilitating phenotypic analysis.
We have employed the adenoviral array technology to analyze the contribution of seven protein kinases to cell signalling in HUVEC after viral transfer of validated shRNA expression cassettes. This group of enzymes was selected to exemplify the application of miniaturized adenoviral arrays.
Reverse transduction by arrayed adenovirus
The infectivity rate of reverse transduction was measured by comparing the number of EGFP-positive cells with the number of DAPI-stained nuclei. In the case of the osteosarcoma cell line U-2 OS, infection of approximately 70% of all cells was achieved (Fig. 1E). We found the chips with immobilized adenoviruses to remain infective for more than two weeks when stored at 4°C, without significant loss in overall infectivity (see Additional file 1).
In conclusion, arrayed adenoviruses are able to transduce cells efficiently, and the adenoviral arrays generated can be readily stored for prolonged time-periods without loosing infectivity, meaning this technology to be applicable for the large-scale applications.
shRNA-mediated knock-down on a chip
Adenoviral vectors were arrayed on a chip encoding shRNA directed against lamin A/C (shLamin)  in addition to an RFP expression cassette. As a control, adenovirus encoding an irrelevant shRNA (shCTR) was introduced. This shCTR contains an shRNA sequence with no homology to human genes, as confirmed by BLAST search. Fluorescence intensities of the cells infected by the control adenovirus were compared to the one of the cells infected by the shLamin expressing virus as depicted in a bar chart (Fig. 2B). Compared to the control, lamin A/C expression was decreased in the case of the cells transduced with an adenoviral vector expressing lamin-specific shRNA, indicative of an overall reduction in lamin A/C expression.
Hence, our results show that shRNA-mediated knock-down is feasible in cells exposed to adenoviral arrays.
Validating the adenoviral arrays in functional assays – comparison to conventional infection
The induction of apoptosis was determined either by terminal-deoxynucleotidyl-transferase-mediated dUTP-biotin nick end labelling (TUNEL), or by immunodetection of cleaved caspase 3. A representative set of micrographs is given in Figure 3B, in which infected cells were identified using EGFP fluorescence (Fig. 3B, top images), whereas red fluorescence indicated incorporation of rhodamine-labelled dUTP or the presence of activated caspase-3 (TUNEL or cleaved caspase-3 staining, Fig. 3B, centre images). A merger of both micrographs is likewise given (Fig. 3B, lower images), in which yellow indicates a strong TUNEL- or caspase 3-signal. As a result, a strong induction of cell death upon knock-down of p38alpha in U-2 OS cells was detected.
Fluorescence intensities of both activated (cleaved) caspase 3 and TUNEL in comparison to cells infected with the control adenovirus (shCTR) were quantified as outlined above. The induction factor observed using activated caspase 3 or TUNEL staining as a determinant was up to 4-fold (Fig 3C). The knock-down of the four kinases p38alpha, PKN1, NEK2 and PBK evoked apoptosis as determined via caspase 3 activation compared to the control infection (p < 0.005). The same four kinases were identified as targets using the TUNEL assay (p < 0.005). Hence, using two independent assays for apoptosis detection, we could demonstrate the feasibility of functional assays on the adenoviral chips.
In Figure 3D, the functional assay performed on the adenoviral array was compared with the conventional assay using transfection of U-2 OS cells in a 96 well format: The induction of apoptosis on the array was determined by the detection of activated caspase 3 as described above, whereas the induction of apoptosis in the 96-well plate was determined by measuring the enzymatic activity of caspase 3 using a proluminescent caspase 3 substrate (Caspase-Glo® 3/7 Assay, Promega), which is adapted to high-throughput cellular assay systems. In this kind of assay, the generated luminescence is proportional to the amount of caspase activity present. For comparison, shRNA sequences against two anti-apoptotic kinases, p38alpha and PKN1, as well as an shRNA sequence against CDK2, the knock-down of which did not induce apoptosis, were chosen, and the induction of caspase 3 activity was depicted. Induction of apoptosis after shRNA-mediated knock-down of p38alpha and PKN1 exceeded the signals of the well-based assay which indicated that the adenoviral chip is a suitable alternative to the well-based assays. No induction of apoptosis was observed with either assay after expression of the vector specific for the knock-down of CDK2.
The signal-to-noise ratios (S/N) in Fig. 3D were calculated as a ratio of the difference between mean signal and mean background values to the background standard deviation  in order to compare the sensitivity of the on-chip assay with the in-well assays. For the experiment performed on the chip, they amount to: 5.7 (p38alpha); 2.4 (CDK2); 9.2 (PKN1). For the in-well trials, they amount to: 1.2 (p38alpha); 0.8 (CDK2); 2.1 (PKN1). Similar experiments using TUNEL assay were not performed.
Functional assays using primary HUVEC
Next, we asked whether an array of kinase-specific shRNA expressing adenoviruses would result in detectable induction of apoptosis in HUVEC. As shown above for U-2 OS cells, HUVEC were exposed to arrayed adenoviral shRNA vectors and activated caspase 3 was detected by immunofluorescence analysis. Figure 4C demonstrates induction of apoptosis in HUVEC after infection with shRNA directed against PBK. Here, similar to Figure 3B, infected cells were identified using EGFP fluorescence (Fig. 4C, top images), whereas red fluorescence indicated incorporation of Cy3-labelled antibodies against cleaved caspase 3 (Fig. 4C, centre images). A merger of both micrographs is likewise given (Fig. 4C, lower images), in which yellow indicates a strong activation of programmed cell death. As can be inferred from Figure 4D, the maximal induction of apoptosis was approx. 3-fold in comparison to the control vector (shCTR). The induction factors observed were significantly different when compared to the control situation (p < 0.005) and within a similar range as those found after transduction of U-2 OS cells.
Whereas the knock-down of NEK2 and PBK induced apoptosis in both HUVEC and U-2 OS cells, the cells differed in their response to the knock-down viruses against BTK, CDK2, p38alpha1, and PKN1: The knock-down of the former resulted in apoptosis in HUVEC, and the knock-down of the latter evoked apoptosis in U-2 OS.
In conclusion, we show that adenoviral arrays are suitable to perform functional assays even in primary cells. Hence, the adenoviral microarray allows a comparative analysis of kinase functions in different cell types under miniaturized and parallelized conditions.
Multiple RNAi platforms are now available for performing large-scale loss of function screens on mammalian cells. Viral-based screens have been introduced for their promise in expanding RNAi screens to models incompatible with conventional siRNA-based approaches.
We present here a microarray suitable for miniaturized and parallelized genetic manipulation and screening of primary human cells. As a vector for gene transfer we have employed adenoviruses. The viral vector system applied needs to include stable viral particles to enable long-term storage and transport. Additionally, high-throughput applications for genome-wide screenings require the possibility to produce virus in a small scale, miniaturized format, properties which are adequately met by adenoviral vectors.
In addition to the adenoviral microarray presented here, a similar system was also reported for lentiviral  and retroviral  shRNA expression vectors. Adenoviral and lentiviral screening platforms may be advantageous when assays are to be performed in primary, nondividing/differentiated cells or in established cell lines refractory to transfection. The technology of viral immobilization is comparable in all the cases: they rely on the principle of "reverse transduction/infection". The viral stocks are printed manually or automatically on glass slides coated with γ-amino propyl silane in the case of lentiviral microarrays, with a nanostructured titanium dioxide film in the case of retroviral microarrays, or with nitrocellulose for adenoviral microarrays. These printed chips can be stored or used directly. The production of high-titer viral particles in miniaturized 96-well format had earlier been demonstrated for lentiviruses [23, 24], retroviruses  and for adenoviruses .
The decision as to which technology of viral delivery to employ will be situational as each of these three approaches comes along with distinct advantages and drawbacks. The advantage of the adenoviral microarray system presented in this study is an application of an appropriate blocking solution after printing the adenovirus. This implementation serves to confine cell adherence to the distinct spots containing the genetic information. Such confinement resulted in an array of cells, significantly simplifying identification in subsequent analysis. Additionally, it results in a reduced number of cells required for screening, which is especially relevant for the screening of primary cells, as the amount of cells available is frequently restricted. Whether the blocking step is applicable to the lentiviral microarray or any other viral system remains to be shown. As the viral vector system applied is characterised by highly stable viral particles, storage and transport of ready-to-use arrays is also feasible.
Genetic manipulations carried out in a microwell format allow for the well-by-well analysis using biochemical assays, the sensitivity of which needed to be achieved in a microarray configuration by fluorescence imaging. We have hence compared a sensitive well-based assay measuring the induction of apoptosis via enzymatic activity of caspase 3 in the lysate with immunodetection of activated caspase 3 on the microarray. As judged by the signal-to-noise ratios, the microarray-based assay provided signals at least in the range of the in-well assay. For optimal sensitivity, it should be noted that any assay carried out on a microarray requires discrimination between cells which have taken up shRNA constructs and untransduced cells. Here we introduced adenoviral vectors which enable the required discriminatory power, provided by a suitable marker incorporated in the vector backbone.
In order to test the feasibility of the adenovirus array technology for unravelling signalling pathways in a model primary cell, we studied the influence of shRNA-mediated knock-down of a set of seven protein kinases on the apoptotic process. The applicability of the device for functional assays on primary cells was exemplified using HUVEC. The comparison of signals obtained infecting HUVEC or U-2 OS cells revealed cell-type-specific responses to the knock-down constructs directed against individual kinases. The technology of the adenoviral siRNA microarray allowed to quantitatively measure phenotypical differences between these two distinct cell lines and therefore was qualified as a convenient and suitable tool for the cell-based analysis. Nevertheless, for more fundamental conclusions of the biological impact of these kinases, a more detailed investigation is needed, e.g. by testing several independent shRNA sequences directed against the targets identified to rule out off-target effects.
The kinases analyzed have been chosen from two categories: On one hand, we have selected rather general interplayers, such as PBK and NEK2, which have been shown to be important for cell cycle progression, DNA damage, and mitotic regulation [16, 17, 19, 20]. On the other hand, we have selected more specific interplayers: p38alpha, BTK, PKN1 and CDK2 [6, 8, 9, 12, 13, 15, 27–29]. The knock-down constructs against PBK and NEK2 drove both HUVEC and U-2 OS cells into apoptosis, consistent with their overall importance for cell cycle progression.
A more specific response was observed for p38alpha and PKN1 in U-2 OS cells. These experiments suggest that osteosarcoma cells exhibit a higher sensitivity towards inhibition of kinases involved in the MAPK pathway than HUVEC. On the contrary, the knock-down of the kinases BTK and CDK2 elicited apoptosis in HUVEC but not in U-2 OS cells. As it was reported by Cai et al., solely depleting CDK2 was not sufficient to induce apoptosis in the osteosarcoma cell line U-2 OS .
The depletion of TrkA (also known as Ntrk1; neurotrophic tyrosine kinase, receptor, type 1) showed no effect on the induction of apoptosis in either cell type. This kinase depends on a particular surface membrane receptor for signal transmission, which might be absent or inactive in the cells examined .
In general, the results on apoptosis induction upon knock-down of particular targets using the adenoviral chip correlated with published data [8, 13, 15, 16, 18, 19, 21, 27, 28, 30]. Additionally, the functional assays performed using this practical microarray technique allowed the preliminary identification of several genes involved in the activation of apoptosis, both in tumor and in primary cells. The easy handling of the adenoviral microarrays, their suitability for immunochemical studies and for other diverse applications, as well as the possibility to acquire reliable results within a short period of time – these are the advantages of the present system. In addition, the suitability of adenoviral microarrays for miniaturized and parallelized screening makes them an attractive tool for a variety of scientific purposes.
HEK293 cells (CRL-1573, ATCC) and U-2 OS cells (HTB-96, ATCC) were cultivated in DMEM (Gibco), complemented with 200 mM Glutamin and 10% FCS (HyClone). HUVEC (PromoCell) were cultivated in EBM-2 Bulletkit medium (Cambrex).
Design and cloning of shRNA sequences
The shRNA sequences directed against human kinases were based on siRNA sequences selected using public servers such as the Whitehead siRNA selection program http://jura.wi.mit.edu/bioc/siRNAext/, the Sfold siRNA design methodology program http://sfold.wadsworth.org/index.pl, the GenScript siRNA Target Finder https://www.genscript.com/ssl-bin/app/rnai, and the Dharmacon siDESIGN® Center http://www.dharmacon.com/DesignCenter/DesignCenterPage.aspx. The shRNA sequences are available upon request.
For the generation of shRNA-expressing vectors, oligonucleotide pairs were synthesized encompassing the siRNA sequences (19 nt or 21 nt) and their reversely complementary sequences, connected by the spacer 5'-CGAA-3'. Immediately downstream of the complementary sequences, there is a stretch of five thymidine residues, which serves as a stop signal for RNA polymerase III. Hence, a transcript is generated that can form a hairpin structure, in which the complementary sequences form the stem and the spacer forms the loop [33, 34].
Validation of shRNA sequences
For each kinase, the cDNA was cloned – sometimes only partially – between the open reading frame of the humanized Renilla luciferase gene and a synthetic polyadenylation site of plasmid psiCHECK™-2 (C8021, Promega, Genebank accession # AY535007). Depending on the presence of suitable restriction sites upstream and downstream of the kinase open reading frames, modified versions of psiCHECK™-2 were generated with extended multiple cloning sites. If no suitable restriction sites were present, the cDNAs were amplified by PCR using primers containing the desired restriction enzyme recognition sites.
For the validation of the efficiency of the knock-down, HEK293 cells were co-transfected with a psiCHECK™-2 derivative containing the target cDNA sequence and the corresponding pENTR™/U6 plasmid encoding the shRNA. The co-transfection was carried out in a 96-well format, with 0.2 μg DNA/well using Lipofectamine™ 2000 Transfection Reagent (11668-019, Invitrogen) according to the manufacturer's protocol. Approx. 48 hours after transfection, the cells were lysed and the luciferase activity was determined according to the manufacturer's instructions (Dual-Glo™ Luciferase Assay System, E2920, Promega). Only those shRNA sequences which reduced luciferase activity by > 50% were transferred into a destination vector to generate the corresponding adenoviral shRNA expression vector.
The U-2 OS cells were transfected with the indicated constructs and 48 hours later the cells were lysed using Laemmli Buffer, containing 2% SDS, 10% glycerol, 5% 2-mercapto ethanol, 0,002% bromphenol blue and 0,075 M Tris HCl. Correlative to the transfection efficiency, an appropriate amounts of the protein lysate were loaded on 10% SDS-PAGE gel. After transfer and blocking procedures, the nitrocellulose membrane was incubated with mouse anti-Lamin A/C antibody (1:5000 diluted, Nr. 05714, Upstate Biotechnology) following immunostaining with HRP-conjugated rabbit anti-mouse secondary antibody. The final blots were treated using ECL™ Plus Western Blot Detection Reagent (RPN2132, GE Healthcare Life Sciences) for the detection of the signal.
Construction of adenoviral shRNA expression vectors
The adenoviral destination vectors used were pAdEasy1_EGFP-DEST and pAdEasy1_RFP-DEST, which contains the attR1-CmR-ccdB-attR2 cassette upstream of the cassette for the expression of the marker genes enhanced green fluorescent protein (EGFP) or red fluorescent protein (RFP), respectively. These adenoviral vectors are based on pAdEasy-1 (Stratagene), into which the above mentioned cassettes were cloned by homologous recombination using Escherichia coli BJ5183. Furthermore, the original ampicillin resistance gene was replaced by a tetracycline resistance gene.
The attR1-CmR-ccdB-attR2 cassette was generated by BP recombination between pDONR221 (Invitrogen) and a suitable cassette containing attB1 and attB2, using the Gateway® BP Clonase™ II enzyme mix (11789020, Invitrogen) according to the manufacturer's instructions.
The EGFP expression cassette originated from pEGFP-N1 (Clontech; GenBank Accession # U55762) and contains the immediate early promoter of CMV, the EGFP open reading frame as well as the SV40 polyadenylation signal. The RFP expression cassette originated from pDsRed-Express-N1 (Clontech) and contains the immediate early promoter of CMV, the RFP open reading frame as well as the SV40 polyadenylation signal.
The shRNA expression cassettes in pENTR™/U6 were transferred into the adenoviral destination vectors by site specific recombination in vitro (Gateway® LR Clonase™ II Enzyme Mix (11791020, Invitrogen).
The resulting vector pAdEasy1_EGFP_shRNA carries the shRNA expression cassette as well as a marker gene under the control of the CMV promoter. Hence, the cassette containing the genes for Chloramphenicol resistance (CmR) and the bacterial ccdB gene is replaced by the shRNA expression cassette. Concomitantly, the CmR-ccdB cassette is transferred to the pENTR vector (Fig. 5).
Raising of adenoviral stocks and printing of adenoviral arrays
The adenoviral vector system used is based on the genome of the human adenovirus serotype 5 (Ad5), from which the early genes E1 and E3 have been deleted (AdEasy™ Adenoviral Vector System, Stratagene) [35, 36]. Adenoviruses were raised from HEK293 cells according to the manufacturer's instructions in three rounds of amplification. Briefly, HEK293 cells were transfected with corresponding pAdEasy-CMV vector using Lipofecatmine 2000 (11668, Invitrogen) in a 6-well plate and the cells were scraped off 13 days later. After a short centrifugation by 2000 rpm, the cells were resuspended in 1 ml of PBS and subsequently submitted to 4 freeze-thaw cycles in liquid nitrogen. For the first amplification 50% of the cells were transferred to a 10 cm dish with HEK293 cells. The above described procedure was repeated 10 days later for the second amplification and 50% of the cells were used for the infection of three 10 cm dishes. Finally, three days later the procedure of virus concentration was repeated for the third amplification and 50% of cells were used to infect 40 10 cm dishes. 5–7 days later the same procedure of virus extraction was performed, the pellet was resuspended in 14 ml of PBS and an additional centrifugation by 10.000 rpm for 30 minutes was introduced after freeze-thaw cycles. The supernatant was transferred in to new tubes and frozen at -70°C.
The titres obtained after the third amplification were in the range of 1 × 109 infectious units/ml. The adenoviral stocks could be stored at -70°C over months without loosing their infectious capacity by -70 C. The procedure of virus generation is non-laborious and suitable for high-throughput applications.
Adenoviral stocks, resuspended in PBS, were printed onto glass slides covered with nitrocellulose, using a manual 8-pin arrayer (MicroCASTer™, Schleicher & Schuell). Nitrocellulose covering was achieved by dipping the microscopic slides in a 25 mg/ml solution of nitrocellulose (N8267, Sigma-Aldrich) in methanol and subsequent evaporation of the solvent under sterile conditions using a laminar air flow bench.
The printed adenoviral chips were shown to be not impaired in their infectious capacity till day 17 by storing at 4°C. Longer periods of storage are not recommended since the viruses gradually loose their infectious capacity.
Infection on the chip and functional assays
After printing, the surface outside the viral spots was blocked by the application of 1 ml of StabilGuard® (SG01, SurModics, Eden Prairie, MN, USA) [37, 38], passed through a 0,2 μ filter, for 45 minutes and the slides were subsequently washed with phosphate-buffered saline (PBS).
4–5 × 105 trypsinized cells were distributed over the surface of the chip, which was placed into a Petri dish. The cells were left for 8–10 hours at 37°C in 5% CO2. Then, fresh medium was added to the cells so that the chip was completely covered with medium. Three (in the case of cleaved caspase 3 measurement) or four (in the case of the TUNEL assays) days later, the chips were washed twice with PBS and fixed in 4% formaldehyde solution for 15 minutes. After a subsequent wash with PBS, the cells on the chips were permeabilized using 0.25% Triton X-100 in PBS for 15 min. To block unspecific binding of the antibodies, the cells were blocked with 1% BSA (bovine serum albumin) in PBS/Tween-20 for 30 minutes. Afterwards, the chips were treated with either anti-lamin A/C monoclonal mouse antibody (SC-7292, Santa Cruz) or with anti-cleaved-caspase-3 (Asp175) antibody (9661, Cell Signalling Technologies), diluted in 1% BSA-PBS solution, for at least one hour at 37°C. After decanting the first antibody solution, the chips were washed three times with PBS and incubated for 1 hour with secondary Cy2-coupled goat anti-mouse antibody for lamin staining (115-226-003, Dianova), or with Cy3-coupled goat anti-mouse antibody for caspase-3 staining (115-116-003, Dianova). Prior to mounting with DacoCytomation fluorescent mounting medium (S3023, DakoCytomation), the chips were counterstained for 1 minute with DAPI followed by fluorescent microscopy analysis.
The TUNEL assay was performed using the In Situ Cell Death Detection Kit, TMR Red (Roche Applied Science, 2156792) exactly following the manufacturer's instructions. Shortly, 4 days after infection, the chips were fixed using the Fixation Solution provided with the kit for 1 h at 25 C, washed with PBS and permeabilised with the Permeabilisation Solution from the kit for 2 minutes on ice. After washing with PBS, the chips were overlaid with 100 μl of TUNEL reaction mixture, prepared according to the provider, and kept for 1 hour at 37 C in the cell incubator. After final washing with PBS, the chips were overlaid with cover slips and analysed using a fluorescence microscope.
Microscopy and image evaluation procedure
The adenoviral spots were photographed using a microscope (Zeiss Axiovert 200 M) supported by the AxioVision LE Rel 4.5 software. The images were analyzed and evaluated using the ImageJ (Version 1.38x) software. Spot images from immunostaining with antibodies against anti-cleaved caspase 3 or after TUNEL assay were converted into 8-bit pictures and compared with shCTR images using the Image Correlator plug-in.
For the evaluation of the lamin A/C knock-down, the fluorescent signal of the markers (EGFP or RFP) was used to identify infected cells, which in turn were used to define the regions of interest (ROI). The ROI were transferred onto the images showing lamin A/C staining. This approach allows to only consider infected cells in the statistical analysis, which was performed using the StatView (SAS Institute Inc.) software.
Caspase 3 activity assay in microwell format
The assay for caspase 3 activity was performed in a 96-well format using the Caspase-Glo 3/7™ assay (G8090, Promega) according to the manufacturer's protocol.
We thank U. Rheinweiler for initial experiments in miniaturizing adenovirus generation. This work was supported by BMBF grant 0313180A/B/C.
- Ziauddin J, Sabatini DM: Microarrays of cells expressing defined cDNAs. Nature. 2001, 411 (6833): 107-110. 10.1038/35075114.View ArticleGoogle Scholar
- Bailey SN, Ali SM, Carpenter AE, Higgins CO, Sabatini DM: Microarrays of lentiviruses for gene function screens in immortalized and primary cells. Nat Methods. 2006, 3 (2): 117-122. 10.1038/nmeth848.View ArticleGoogle Scholar
- Carbone R, Giorgetti L, Zanardi A, Marangi I, Chierici E, Bongiorno G, Fiorentini F, Faretta M, Piseri P, Pelicci PG: Retroviral microarray-based platform on nanostructured TiO2 for functional genomics and drug discovery. Biomaterials. 2007, 28 (13): 2244-2253. 10.1016/j.biomaterials.2006.12.026.View ArticleGoogle Scholar
- Michiels F, van EsH, van Rompaey L, Merchiers P, Francken B, Pittois K, Schueren van der J, Brys R, Vandersmissen J, Beirinckx F: Arrayed adenoviral expression libraries for functional screening. Nat Biotechnol. 2002, 20 (11): 1154-1157. 10.1038/nbt746.View ArticleGoogle Scholar
- Harborth J, Elbashir SM, Vandenburgh K, Manninga H, Scaringe SA, Weber K, Tuschl T: Sequence, chemical, and structural variation of small interfering RNAs and short hairpin RNAs and the effect on mammalian gene silencing. Antisense Nucleic Acid Drug Dev. 2003, 13 (2): 83-105. 10.1089/108729003321629638.View ArticleGoogle Scholar
- Islam TC, Branden LJ, Kohn DB, Islam KB, Smith CI: BTK mediated apoptosis, a possible mechanism for failure to generate high titer retroviral producer clones. J Gene Med. 2000, 2 (3): 204-209. 10.1002/(SICI)1521-2254(200005/06)2:3<204::AID-JGM104>3.0.CO;2-5.View ArticleGoogle Scholar
- Islam TC, Smith CI: The cellular phenotype conditions Btk for cell survival or apoptosis signaling. Immunol Rev. 2000, 178: 49-63. 10.1034/j.1600-065X.2000.17811.x.View ArticleGoogle Scholar
- Uckun FM: Bruton's tyrosine kinase (BTK) as a dual-function regulator of apoptosis. Biochem Pharmacol. 1998, 56 (6): 683-691. 10.1016/S0006-2952(98)00122-1.View ArticleGoogle Scholar
- Kurosu T, Takahashi Y, Fukuda T, Koyama T, Miki T, Miura O: p38 MAP kinase plays a role in G2 checkpoint activation and inhibits apoptosis of human B cell lymphoma cells treated with etoposide. Apoptosis. 2005, 10 (5): 1111-1120. 10.1007/s10495-005-3372-z.View ArticleGoogle Scholar
- Navas TA, Nguyen AN, Hideshima T, Reddy M, Ma JY, Haghnazari E, Henson M, Stebbins EG, Kerr I, O'Young G: Inhibition of p38alpha MAPK enhances proteasome inhibitor-induced apoptosis of myeloma cells by modulating Hsp27, Bcl-X(L), Mcl-1 and p53 levels in vitro and inhibits tumor growth in vivo. Leukemia. 2006, 20 (6): 1017-1027. 10.1038/sj.leu.2404200.View ArticleGoogle Scholar
- Sheng G, Guo J, Warner BW: Epidermal growth factor receptor signaling modulates apoptosis via p38alpha MAPK-dependent activation of Bax in intestinal epithelial cells. Am J Physiol Gastrointest Liver Physiol. 2007, 293 (3): G599-606. 10.1152/ajpgi.00182.2007.View ArticleGoogle Scholar
- Cai D, Latham VM, Zhang X, Shapiro GI: Combined depletion of cell cycle and transcriptional cyclin-dependent kinase activities induces apoptosis in cancer cells. Cancer Res. 2006, 66 (18): 9270-9280. 10.1158/0008-5472.CAN-06-1758.View ArticleGoogle Scholar
- Gil-Gomez G: Measurement of changes in apoptosis and cell cycle regulatory kinase Cdk2. Methods Mol Biol. 2004, 282: 131-144.Google Scholar
- Lane ME, Yu B, Rice A, Lipson KE, Liang C, Sun L, Tang C, McMahon G, Pestell RG, Wadler S: A novel cdk2-selective inhibitor, SU induces apoptosis in colon carcinoma cells. Cancer Res. 2001, 61 (16): 6170-6177.Google Scholar
- Gotoh Y, Oishi K, Shibata H, Yamagiwa A, Isagawa T, Nishimura T, Goyama E, Takahashi M, Mukai H, Ono Y: Protein kinase PKN1 associates with TRAF2 and is involved in TRAF2-NF-kappaB signaling pathway. Biochem Biophys Res Commun. 2004, 314 (3): 688-694. 10.1016/j.bbrc.2003.12.148.View ArticleGoogle Scholar
- Ferrari S: Protein kinases controlling the onset of mitosis. Cell Mol Life Sci. 2006, 63 (7–8): 781-795. 10.1007/s00018-005-5515-3.View ArticleGoogle Scholar
- Hayward DG, Fry AM: Nek2 kinase in chromosome instability and cancer. Cancer Lett. 2006, 237 (2): 155-166. 10.1016/j.canlet.2005.06.017.View ArticleGoogle Scholar
- O'Regan L, Blot J, Fry AM: Mitotic regulation by NIMA-related kinases. Cell Div. 2007, 2: 25-10.1186/1747-1028-2-25.PubMed CentralView ArticleGoogle Scholar
- Ayllon V, O'Connor R: PBK/TOPK promotes tumour cell proliferation through p38 MAPK activity and regulation of the DNA damage response. Oncogene. 2007, 26 (24): 3451-3461. 10.1038/sj.onc.1210142.View ArticleGoogle Scholar
- Nandi AK, Ford T, Fleksher D, Neuman B, Rapoport AP: Attenuation of DNA damage checkpoint by PBK, a novel mitotic kinase, involves protein-protein interaction with tumor suppressor p53. Biochem Biophys Res Commun. 2007, 358 (1): 181-188. 10.1016/j.bbrc.2007.04.125.View ArticleGoogle Scholar
- Yan C, Liang Y, Nylander KD, Schor NF: TrkA as a life and death receptor: receptor dose as a mediator of function. Cancer Res. 2002, 62 (17): 4867-4875.Google Scholar
- Zhang JH, Chung TD, Oldenburg KR: A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays. J Biomol Screen. 1999, 4 (2): 67-73. 10.1177/108705719900400206.View ArticleGoogle Scholar
- Moffat J, Grueneberg DA, Yang X, Kim SY, Kloepfer AM, Hinkle G, Piqani B, Eisenhaure TM, Luo B, Grenier JK: A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen. Cell. 2006, 124 (6): 1283-1298. 10.1016/j.cell.2006.01.040.View ArticleGoogle Scholar
- Root DE, Hacohen N, Hahn WC, Lander ES, Sabatini DM: Genome-scale loss-of-function screening with a lentiviral RNAi library. Nat Methods. 2006, 3 (9): 715-719. 10.1038/nmeth924.View ArticleGoogle Scholar
- Pear W: Transient transfection methods for preparation of high-titer retroviral supernatants. Curr Protoc Mol Biol. 2001, Chapter 9: Unit9.11-Unit9 11Google Scholar
- Arts GJ, Langemeijer E, Tissingh R, Ma L, Pavliska H, Dokic K, Dooijes R, Mesic E, Clasen R, Michiels F: Adenoviral vectors expressing siRNAs for discovery and validation of gene function. Genome Res. 2003, 13 (10): 2325-2332. 10.1101/gr.1332603.PubMed CentralView ArticleGoogle Scholar
- Isagawa T, Takahashi M, Kato T, Mukai H, Ono Y: Involvement of protein kinase PKN1 in G2/M delay caused by arsenite. Mol Carcinog. 2005, 43 (1): 1-12. 10.1002/mc.20087.View ArticleGoogle Scholar
- Raman M, Chen W, Cobb MH: Differential regulation and properties of MAPKs. Oncogene. 2007, 26 (22): 3100-3112. 10.1038/sj.onc.1210392.View ArticleGoogle Scholar
- Vassilev AO, Uckun FM: Therapeutic potential of inhibiting Bruton's tyrosine kinase, (BTK). Curr Pharm Des. 2004, 10 (15): 1757-1766. 10.2174/1381612043384475.View ArticleGoogle Scholar
- Ryu B, Kim DS, Deluca AM, Alani RM: Comprehensive expression profiling of tumor cell lines identifies molecular signatures of melanoma progression. PLoS ONE. 2007, 2 (7): e594-10.1371/journal.pone.0000594.PubMed CentralView ArticleGoogle Scholar
- Yuan B, Latek R, Hossbach M, Tuschl T, Lewitter F: siRNA Selection Server: an automated siRNA oligonucleotide prediction server. Nucleic Acids Res. 2004, W130-134. 10.1093/nar/gkh366. 32 Web Server
- Ding Y, Chan CY, Lawrence CE: Sfold web server for statistical folding and rational design of nucleic acids. Nucleic Acids Res. 2004, W135-141. 10.1093/nar/gkh449. 32 Web Server
- Brummelkamp TR, Bernards R, Agami R: A system for stable expression of short interfering RNAs in mammalian cells. Science. 2002, 296 (5567): 550-553. 10.1126/science.1068999.View ArticleGoogle Scholar
- Paddison PJ, Caudy AA, Bernstein E, Hannon GJ, Conklin DS: Short hairpin RNAs (shRNAs) induce sequence-specific silencing in mammalian cells. Genes Dev. 2002, 16 (8): 948-958. 10.1101/gad.981002.PubMed CentralView ArticleGoogle Scholar
- He TC, Zhou S, da Costa LT, Yu J, Kinzler KW, Vogelstein B: A simplified system for generating recombinant adenoviruses. Proc Natl Acad Sci USA. 1998, 95 (5): 2509-2514. 10.1073/pnas.95.5.2509.PubMed CentralView ArticleGoogle Scholar
- Benihoud K, Yeh P, Perricaudet M: Adenovirus vectors for gene delivery. Curr Opin Biotechnol. 1999, 10 (5): 440-447. 10.1016/S0958-1669(99)00007-5.View ArticleGoogle Scholar
- Kuschel C, Steuer H, Maurer AN, Kanzok B, Stoop R, Angres B: Cell adhesion profiling using extracellular matrix protein microarrays. Biotechniques. 2006, 40 (4): 523-531.View ArticleGoogle Scholar
- Tateno H, Uchiyama N, Kuno A, Togayachi A, Sato T, Narimatsu H, Hirabayashi J: A novel strategy for mammalian cell surface glycome profiling using lectin microarray. Glycobiology. 2007, 17 (10): 1138-1146. 10.1093/glycob/cwm084.View ArticleGoogle Scholar