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Stefan Aigner Christian Carson Rusty Gage Gene Yeo Crick-Jacobs Center Salk Institute Analysis of Small RNAs in Stem Cell Differentiation.

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Presentation on theme: "Stefan Aigner Christian Carson Rusty Gage Gene Yeo Crick-Jacobs Center Salk Institute Analysis of Small RNAs in Stem Cell Differentiation."— Presentation transcript:

1 Stefan Aigner Christian Carson Rusty Gage Gene Yeo Crick-Jacobs Center Salk Institute Analysis of Small RNAs in Stem Cell Differentiation

2 Neuronal specification Neural progenitor (NP) Embryonic stem (ES) Neuron (Ne) Oct4 DAPI ES Nestin Sox1 DAPI NP Map2a+b Tuj1 DAPI NE

3 Cloning of 18-30 nt small RNAs 18 nt 24 nt 30 nt SybrGold stained 15% acrylamide/urea gel ES NP Adapter ligation RNA Reverse transcription, PCR dsDNA Cloning and Sequencing Mapped to repeat-masked human genome (>18bp) ES 1.04M NP 2.46M Ne 1.83M

4 ~4M reads clustered into ~76,000 non-redundant clusters 81% of known mature miRNAs detected ~16K reads per pre- miRNA on average 30%

5 mir-302d 6323 reads Sequence-level resolution

6 Classifier for novel hairpins (MIRESQUE) 315 of 325 (96%) known microRNA hairpins can be detected reliably 215 MIRESQUE predicted miRNA hairpins (out of 2688 unlabeled samples) chrX:113772628_3pchr15:81221813_5pchr22:18448149_5pchr19:58867025_5p 35 30 24 18 ESNP ESNPESNPESNP nt 5S rRNA ESNP let-7c

7 Summary of miR predictions 80% of known 430 848674 113

8 High resolution allows us to correct annotations 5p3p ‘passenger’‘guide’ 24 “Guide” vs “passenger” strand changes ‘target’ predictions.

9 Correcting 5’ ends of microRNAs 49 known miRNAs have incorrectly annotated 5’ ends Mir-34b GTGGTGGTTAcaatcactaactccactgccatCAAAACAAGG Edges..........>>>------------------<<<<....... +ES AATCACTAACTCCACTGCCAT 1 +ES AATCACTAACTCCACTGCCATC 2 +ES ATCACTAACTCCACTGCCATCA 2 +NP CAATCACTAACTCCACTGCCATCAA 1 +NP CAATCACTAACTCCACTGCCAT 1 +NP ATCACTAACTCCACTGCCATCA 1.5 +NE AATCACTAACTCCACTGCCATC 62 Mir-34b*TAAGAAAAGAtcgtgcatccctttagagtgttACTGTTTGAG Edges........>>>->--------------<<<<<.......... +ES GATCGTGCATCCCTTTAGAGTGT 0.5 +ES ATCGTGCATCCCTTTAGAGTG 18 +ES ATCGTGCATCCCTTTAGAGTGTT 2.5 +ES ATCGTGCATCCCTTTAGAGTGT 264 +ES TCGTGCATCCCTTTAGAGTGT 14 +ES TCGTGCATCCCTTTAGAGTGTT 0.5 +ES TCGTGCATCCCTTTAGAGTG 2 +ES TCGTGCATCCCTTTAGAGT 2.5

10 Sense/antisense microRNAs Known example: mir-338 11 annotated mirs have s/as pairs ES NP NE

11 Switching strand preferences ES NP NE 13 microRNAs with strand switches Khvorova et al, Cell 2003 Schwarz et al, Cell 2003

12 C/D and H/ACA snoRNAs processed as miRNAs? ES NP NE

13 Digital expression reveals hES/hNP-specific miRs ESNENP ESNENP ESNENP ESNENP ES NE NP

14 Small RNA summary ES, NP, NE express an unexpectedly complex set of small non-coding RNAs whose biological significance remains to be investigated. MIRESQUE designed: We discovered hundreds of novel bona fide microRNAs, dozens of which are in coding regions of genes. High resolution allows correct guide/passenger annotations, correct 5’ ends of miRs, Sense/antisense microRNAs were identified MicroRNAs that switch strands The microRNA profiles of ES, NP, NE are distinct. Novel ES-specific miRs.


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