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Human transposon insertion profiling by sequencing (TIPseq) to map LINE-1 insertions in single cells
Long interspersed element-1 (LINE-1, L1) sequences, which comprise about 17% of human genome, are the product of one of the most active types of mobile DNAs in modern humans. LINE-1 insertion alleles can cause inherited and de novo genetic diseases, and LINE-1-encoded proteins are highly expressed i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061987/ https://www.ncbi.nlm.nih.gov/pubmed/32075555 http://dx.doi.org/10.1098/rstb.2019.0335 |
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author | McKerrow, Wilson Tang, Zuojian Steranka, Jared P. Payer, Lindsay M. Boeke, Jef D. Keefe, David Fenyö, David Burns, Kathleen H. Liu, Chunhong |
author_facet | McKerrow, Wilson Tang, Zuojian Steranka, Jared P. Payer, Lindsay M. Boeke, Jef D. Keefe, David Fenyö, David Burns, Kathleen H. Liu, Chunhong |
author_sort | McKerrow, Wilson |
collection | PubMed |
description | Long interspersed element-1 (LINE-1, L1) sequences, which comprise about 17% of human genome, are the product of one of the most active types of mobile DNAs in modern humans. LINE-1 insertion alleles can cause inherited and de novo genetic diseases, and LINE-1-encoded proteins are highly expressed in some cancers. Genome-wide LINE-1 mapping in single cells could be useful for defining somatic and germline retrotransposition rates, and for enabling studies to characterize tumour heterogeneity, relate insertions to transcriptional and epigenetic effects at the cellular level, or describe cellular phylogenies in development. Our laboratories have reported a genome-wide LINE-1 insertion site mapping method for bulk DNA, named transposon insertion profiling by sequencing (TIPseq). There have been significant barriers applying LINE-1 mapping to single cells, owing to the chimeric artefacts and features of repetitive sequences. Here, we optimize a modified TIPseq protocol and show its utility for LINE-1 mapping in single lymphoblastoid cells. Results from single-cell TIPseq experiments compare well to known LINE-1 insertions found by whole-genome sequencing and TIPseq on bulk DNA. Among the several approaches we tested, whole-genome amplification by multiple displacement amplification followed by restriction enzyme digestion, vectorette ligation and LINE-1-targeted PCR had the best assay performance. This article is part of a discussion meeting issue ‘Crossroads between transposons and gene regulation’. |
format | Online Article Text |
id | pubmed-7061987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-70619872020-03-26 Human transposon insertion profiling by sequencing (TIPseq) to map LINE-1 insertions in single cells McKerrow, Wilson Tang, Zuojian Steranka, Jared P. Payer, Lindsay M. Boeke, Jef D. Keefe, David Fenyö, David Burns, Kathleen H. Liu, Chunhong Philos Trans R Soc Lond B Biol Sci Articles Long interspersed element-1 (LINE-1, L1) sequences, which comprise about 17% of human genome, are the product of one of the most active types of mobile DNAs in modern humans. LINE-1 insertion alleles can cause inherited and de novo genetic diseases, and LINE-1-encoded proteins are highly expressed in some cancers. Genome-wide LINE-1 mapping in single cells could be useful for defining somatic and germline retrotransposition rates, and for enabling studies to characterize tumour heterogeneity, relate insertions to transcriptional and epigenetic effects at the cellular level, or describe cellular phylogenies in development. Our laboratories have reported a genome-wide LINE-1 insertion site mapping method for bulk DNA, named transposon insertion profiling by sequencing (TIPseq). There have been significant barriers applying LINE-1 mapping to single cells, owing to the chimeric artefacts and features of repetitive sequences. Here, we optimize a modified TIPseq protocol and show its utility for LINE-1 mapping in single lymphoblastoid cells. Results from single-cell TIPseq experiments compare well to known LINE-1 insertions found by whole-genome sequencing and TIPseq on bulk DNA. Among the several approaches we tested, whole-genome amplification by multiple displacement amplification followed by restriction enzyme digestion, vectorette ligation and LINE-1-targeted PCR had the best assay performance. This article is part of a discussion meeting issue ‘Crossroads between transposons and gene regulation’. The Royal Society 2020-03-30 2020-02-10 /pmc/articles/PMC7061987/ /pubmed/32075555 http://dx.doi.org/10.1098/rstb.2019.0335 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles McKerrow, Wilson Tang, Zuojian Steranka, Jared P. Payer, Lindsay M. Boeke, Jef D. Keefe, David Fenyö, David Burns, Kathleen H. Liu, Chunhong Human transposon insertion profiling by sequencing (TIPseq) to map LINE-1 insertions in single cells |
title | Human transposon insertion profiling by sequencing (TIPseq) to map LINE-1 insertions in single cells |
title_full | Human transposon insertion profiling by sequencing (TIPseq) to map LINE-1 insertions in single cells |
title_fullStr | Human transposon insertion profiling by sequencing (TIPseq) to map LINE-1 insertions in single cells |
title_full_unstemmed | Human transposon insertion profiling by sequencing (TIPseq) to map LINE-1 insertions in single cells |
title_short | Human transposon insertion profiling by sequencing (TIPseq) to map LINE-1 insertions in single cells |
title_sort | human transposon insertion profiling by sequencing (tipseq) to map line-1 insertions in single cells |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061987/ https://www.ncbi.nlm.nih.gov/pubmed/32075555 http://dx.doi.org/10.1098/rstb.2019.0335 |
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