five

Small genomic insertions form enhancers that misregulate oncogenes

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NIAID Data Ecosystem2026-05-09 收录
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https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001242.v1.p1
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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.]]> We purchased MOLT4 T-cell leukemia cells from ATCC (CRL-1582). We performed H3K27ac ChIP-Seq in these cells. We processed these data through a computational pipeline to predict insertions in the genomes of these cells. To confirm the presence of predicted insertions, we PCR-amplified and sequenced a subset of these predictions.]]>
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2016-11-22
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