Dataset Information

Deep annotation of mouse iso-miR and iso-moR variation.

ABSTRACT: With a dataset of more than 600 million small RNAs deeply sequenced from mouse hippocampal and staged sets of mouse cells that underwent reprogramming to induced pluripotent stem cells, we annotated the stem-loop precursors of the known miRNAs to identify isomoRs (miRNA-offset RNAs), loops, non-preferred strands, and guide strands. Products from both strands were readily detectable for most miRNAs. Changes in the dominant isomiR occurred among the cell types, as did switches of the preferred strand. The terminal nucleotide of the dominant isomiR aligned well with the dominant off-set sequence suggesting that Drosha cleavage generates most miRNA reads without terminal modification. Among the terminal modifications detected, most were non-templated mono- or di-nucleotide additions to the 3'-end. Based on the relative enrichment or depletion of specific nucleotide additions in an Ago-IP fraction there may be differential effects of these modifications on RISC loading. Sequence variation of the two strands at their cleavage sites suggested higher fidelity of Drosha than Dicer. These studies demonstrated multiple patterns of miRNA processing and considerable versatility in miRNA target selection.

SUBMITTER: Zhou H

PROVIDER: S-EPMC3401436 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature

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Deep annotation of mouse iso-miR and iso-moR variation.

Zhou Hongjun H Arcila Mary Luz ML Li Zhonghan Z Lee Eun Joo EJ Henzler Christine C Liu Jingya J Rana Tariq M TM Kosik Kenneth S KS

Nucleic acids research 20120319 13

With a dataset of more than 600 million small RNAs deeply sequenced from mouse hippocampal and staged sets of mouse cells that underwent reprogramming to induced pluripotent stem cells, we annotated the stem-loop precursors of the known miRNAs to identify isomoRs (miRNA-offset RNAs), loops, non-preferred strands, and guide strands. Products from both strands were readily detectable for most miRNAs. Changes in the dominant isomiR occurred among the cell types, as did switches of the preferred str ...[more]

PMID: 22434881

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Project description:Model organisms are becoming increasingly important for the study of complex diseases such as type 1 diabetes (T1D). The non-obese diabetic (NOD) mouse is an experimental model for T1D having been bred to develop the disease spontaneously in a process that is similar to humans. Genetic analysis of the NOD mouse has identified around 50 disease loci, which have the nomenclature Idd for insulin-dependent diabetes, distributed across at least 11 different chromosomes. In total, 21 Idd regions across 6 chromosomes, that are major contributors to T1D susceptibility or resistance, were selected for finished sequencing and annotation at the Wellcome Trust Sanger Institute. Here we describe the generation of 40.4 mega base-pairs of finished sequence from 289 bacterial artificial chromosomes for the NOD mouse. Manual annotation has identified 738 genes in the diabetes sensitive NOD mouse and 765 genes in homologous regions of the diabetes resistant C57BL/6J reference mouse across 19 candidate Idd regions. This has allowed us to call variation consequences between homologous exonic sequences for all annotated regions in the two mouse strains. We demonstrate the importance of this resource further by illustrating the technical difficulties that regions of inter-strain structural variation between the NOD mouse and the C57BL/6J reference mouse can cause for current next generation sequencing and assembly techniques. Furthermore, we have established that the variation rate in the Idd regions is 2.3 times higher than the mean found for the whole genome assembly for the NOD/ShiLtJ genome, which we suggest reflects the fact that positive selection for functional variation in immune genes is beneficial in regard to host defence. In summary, we provide an important resource, which aids the analysis of potential causative genes involved in T1D susceptibility. Database URLs: http://www.sanger.ac.uk/resources/mouse/nod/; http://vega-previous.sanger.ac.uk/info/data/mouse_regions.html#Idd

Dataset Information

Deep annotation of mouse iso-miR and iso-moR variation.

Publications

Deep annotation of mouse iso-miR and iso-moR variation.

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