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Table 2 A partial list of novel miRNAs identified in bovine MAC-T cells with or without challenge with E. coli or S. aureus bacteria

From: Transcriptome microRNA profiling of bovine mammary epithelial cells challenged with Escherichia coli or Staphylococcus aureusbacteria reveals pathogen directed microRNA expression profiles

Mature miRNA ID1

miRBase Pre-miRNA2

miRBase miRNA3

5Score

Mature reads

Mature sequence

Size

Star reads

Star sequence4

Size

Precursor coordinate

bta-miR-1842-5p

eca-mir-1842

eca-miR-1842

1180.4

2,172

uggcucugugaggucggcuca

21

142

agcaggccugucagggcguug

21

25:1744660..1744720:-

bta-miR-219-2-3p

ssc-mir-219

ssc-miR-219

68.9

103

agaguugagucuggacgucccg

22

20

ugauuguccaaacgcaauuc

20

23:7335349..7335412:-

bta-miR-664-3p

ssc-mir-664

ssc-miR-664-3p

68.5

70

uauucauuuaucucccagccuaca

24

59

caggcuaggagaaaugauuggau

23

16:24379875..24379936:-

bta-miR-6516-5p

gga-mir-6516

 

9.6

10

uuugcaguaacaggugugaac

21

9

aucauguaugauacugcaaaca

22

19:55419754..55419817:+

bta-mir-2964a-3p

bta-mir-219-1′

hsa-miR-2964a-3p

20.7

27

agaauugcguuuggacaaucagu

23

5

gauguccagccacaauucucg

21

11:98997166..98997230:+

bta-miR-3548-3p

bta-mir-200a′

rno-miR-3548

6.6

2

cagcacuguccgguaagauguc

22

2

caucguuaccagacaguguuaga

23

16:52521338..52521399:+

bta-miR-194-1′-3p

bta-mir-194-1′

 

30.4

56

acauggaguugcuguuacaaucg

23

3

aaguaacagcaucuccacugga

22

16:24306044..24306105:+

bta-miR-486′-5p

bta-mir-486′

 

27.8

48

cccgguacugagcugacccgag

22

4

ucggggcagcucaguacaggac

22

27:36261849..36261912:+

bta-miR-374a′-5p

bta-mir-374a′

bta-miR-374a-3p

26.1

50

uuacaauacaaccugauaagug

22

1

acuuaucagguuguauuaua

20

X:81951234..81951283:-

bta-miR-763′-3p

bta-mir-763′

 

6.8

8

ucccagcuggucauuaauccu

21

3

gaauuaauggcuggcugggagg

22

5:48164035..48164101:+

bta-miR-191′-5p

bta-mir-191′

bta-miR-191

5.5

40

gaacgaaauccaagcgcagcug

22

0

gcugcuuuugggauuccguugcc

23

22:51543481..51543545:-

bta-miR-1388′-3p

bta-mir-1388′

bta-miR-1388-5p

1.8

405

uucucagguuggacaguccuga

22

0

cgggcugacaaaccugagauug

22

13:54375941..54376002:-

bta-miR-374b′-5p

bta-mir-374b′

bta-miR-374-3p

1.4

60

ugauaauacaaccugauaagug

22

0

cuuagcagguuguauuauaucc

22

X:82023929..82023981:-

bta-miR-194-2′-3p

bta-mir-194-2′

bta-miR-194

4.8

10

cacauggaguugcuguuaca

20

0

uaacagcagccccacugga

19

29:43731473..43731526:-

bta-miR-590-3p

eca-mir-590

 

1.4

13

uaguuuuauguguaagcucguu

22

0

cgagcuuauucacagaaguaca

22

25:33713356..33713419:-

bta-miR-222b-3p

 

bta-miR-222

4.9

20

ugcuacaucuggcuacugga

20

0

ggguggacgcuguguggcugagc

23

10:78769129..78769183:+

  1. 1“`”represents the antisense of miRNA precursor; the star sequence of miR-219-2 is miR-219-5p in miRBase (Release 19);
  2. 2The top known miRNA precursor (miRBase Release 19) aligns to novel precursor with > 70 identity and > 75 sequence length;
  3. 3The top known miRNA (miRBase Release 19) matches novel miRNA covering > 90 identity and > 90 sequence length;
  4. 4Sequence here only shows the dominant one and the star sequence that was absent was predicted by miRDeep2.
  5. 5miRNA with score less than 5 is identified from miRNA candidate precursor.