Small genomic insertions form enhancers that misregulate oncogenes
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ABSTRACT: ChIP-Seq data from 102 cell lines were processed to identify insertions relative to the human reference genome. To confirm the ability of a computational pipeline to identify insertions that are actually present in these genomes, we PCR-amplified and deeply sequenced regions where insertions were predicted to exist in MOLT4 T-cell acute lymphoblastic leukemia cells. The current study release makes available sequences of amplicons from a tumor cell genome (MOLT4) where a computational pipeline predicted small insertions from orthogonal data.
SECONDARY ACCESSION(S): PRJNA353149PRJNA353150
REPOSITORIES: dbGaP
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Project description:The noncoding regions of tumor cell genomes harbor a considerable fraction of total variation, but the functional contribution of such variants to tumorigenesis is ill-defined. Among these noncoding variants, somatic insertions are among the least well-characterized due to challenges with interpreting short-read DNA sequences. To address this, we have identified enhancer-associated small insertion variants across a spectrum of tumor cells by using ChIP-seq to enrich and sequence enhancer DNA, and a computational approach with multiple alignment procedures to identify small insertions. Among the 82 tumor genomes studied here, small insertions were frequently observed in enhancer DNA sequences located near known oncogenes. Further study of one such insertion, found in primary leukemia tumor genomes, revealed that it nucleates formation of an active enhancer that drives expression of the LMO2 oncogene. The catalogue of enhancer-associated small insertion variants described here provides a foundation for further investigating the functions of this class of variants across a range of human cancers.
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Project description:Purpose: The goals of this study are to identify Mutator insertion sites and determine the affect of these insertions on nearby genes Methods: Wiseq-based Mu element profiling was performed as described previously using B73/Mo17 F1 hybrid progeny seedlings. The B73 parent was carried Mutator activity that had been introgressed into the B73 genetic background. The Mo17 parent lacked active Mu elements. Thus, all new insertions were into the B73 genome. Genomic DNA was extracted from 6-day-old seedlings of B73/Mo17 hybrid plants. Amplicon-based enrichment of Mu flanking DNA was then performed. The purified PCR products were subject to Miseq-based Wideseq pipeline at Purdue Genomics Core Facility (https://www.purdue.edu/hla/sites/genomics/wideseq-2/). Wideseq reads were mapped to the B73 reference genome as described previously. By identifying the Mu target site duplications (TSDs), a set of genes targeted by Mu insertions that segregated in hybrid progeny was obtained and those containing B73/Mo17 SNPs in their mRNA sequences were used for allele-specific expression analysis. Because new insertions were into the B73 genome, the effect of these insertions would be expected to be specific in all cases to the B73 allele. To quantify the allele frequency, we performed RT-PCR followed by Wideseq from the identical shoot tissues of the hybrid seedlings mentioned above. Total RNA was extracted using the RNA Extraction Kit (Zymo) and cDNAs were synthesized using Promega M-MLV Reverse Transcriptase. For for a subset of 16 genes that carried SNPs, RNA fragments containing B73/Mo17 SNPs were amplified by RT-PCR. Libraries were prepared using an mRNA preparation kit (Illumina) following a standard protocol (https://www.purdue.edu/hla/sites/genomics/wi-deseq-2/). The RT-PCR products were then sequenced by the “WideSeq” pipeline. Results: A knockdown index was deduced by normalizing the observed ratio to that observed in genes that lacked Mu insertions in both genetic backgrounds for each insertion. We found that none of the four promoter insertions changed the expression of nearby genes. A quarter of 5’ UTR insertions (5 out of 20) caused knockout or strong knockdown effects and one of seven intronic insertions resulted in a knockout effect. Collectively, of a total of 33 Mu insertions, all of which were within 200 bp of genes, only 11 significantly reduced gene expression, and only two knocked it out completely. Conclusions: These results indicate that that Mu element insertions near TSSs of host genes are often associated with quantitative and in many cases neglectable functional consequences on nearby gene expression.
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