<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Quan ZJ</submitter><funding>Innovation Fund for Medical Sciences</funding><funding>National Key R&amp;amp;D Program of China</funding><funding>Chinese Academy of Medical Sciences</funding><funding>National Natural Science Foundation of China</funding><pagination>1221-1236</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11082256</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(6)</volume><pubmed_abstract>To achieve the enormous potential of gene-editing technology in clinical therapies, one needs to evaluate both the on-target efficiency and unintended editing consequences comprehensively. However, there is a lack of a pipelined, large-scale, and economical workflow for detecting genome editing outcomes, in particular insertion or deletion of a large fragment. Here, we describe an approach for efficient and accurate detection of multiple genetic changes after CRISPR/Cas9 editing by pooled nanopore sequencing of barcoded long-range PCR products. Recognizing the high error rates of Oxford nanopore sequencing, we developed a novel pipeline to capture the barcoded sequences by grepping reads of nanopore amplicon sequencing (GREPore-seq). GREPore-seq can assess nonhomologous end-joining (NHEJ)-</pubmed_abstract><journal>Genomics, proteomics &amp; bioinformatics</journal><pubmed_title>GREPore-seq: A Robust Workflow to Detect Changes After Gene Editing Through Long-range PCR and Nanopore Sequencing.</pubmed_title><pmcid>PMC11082256</pmcid><funding_grant_id>2019YFA0110800</funding_grant_id><funding_grant_id>81770198</funding_grant_id><funding_grant_id>2019YFA0110204</funding_grant_id><funding_grant_id>81730010</funding_grant_id><funding_grant_id>81890990</funding_grant_id><funding_grant_id>82070115</funding_grant_id><funding_grant_id>81730006</funding_grant_id><funding_grant_id>2016YFA0100600</funding_grant_id><funding_grant_id>2021-I2M-1-041</funding_grant_id><funding_grant_id>2019-I2M-1-006</funding_grant_id><funding_grant_id>81870149</funding_grant_id><pubmed_authors>Zhang F</pubmed_authors><pubmed_authors>Cheng T</pubmed_authors><pubmed_authors>Yang ZX</pubmed_authors><pubmed_authors>Quan ZJ</pubmed_authors><pubmed_authors>Zhao JJ</pubmed_authors><pubmed_authors>Li GH</pubmed_authors><pubmed_authors>Zhang XB</pubmed_authors><pubmed_authors>Li SA</pubmed_authors><pubmed_authors>Wen W</pubmed_authors></additional><is_claimable>false</is_claimable><name>GREPore-seq: A Robust Workflow to Detect Changes After Gene Editing Through Long-range PCR and Nanopore Sequencing.</name><description>To achieve the enormous potential of gene-editing technology in clinical therapies, one needs to evaluate both the on-target efficiency and unintended editing consequences comprehensively. However, there is a lack of a pipelined, large-scale, and economical workflow for detecting genome editing outcomes, in particular insertion or deletion of a large fragment. Here, we describe an approach for efficient and accurate detection of multiple genetic changes after CRISPR/Cas9 editing by pooled nanopore sequencing of barcoded long-range PCR products. Recognizing the high error rates of Oxford nanopore sequencing, we developed a novel pipeline to capture the barcoded sequences by grepping reads of nanopore amplicon sequencing (GREPore-seq). GREPore-seq can assess nonhomologous end-joining (NHEJ)-</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Dec</publication><modification>2026-03-17T15:21:01.106Z</modification><creation>2025-08-16T03:06:31.142Z</creation></dates><accession>S-EPMC11082256</accession><cross_references><pubmed>35752289</pubmed><doi>10.1016/j.gpb.2022.06.002</doi></cross_references></HashMap>