Real-time and programmable transcriptome sequencing with PROFIT-seq
The high diversity and complexity of the eukaryotic transcriptome make it difficult to effectively detect specific transcripts of interest. Current targeted RNA sequencing methods often require complex pre-sequencing enrichment steps, which can compromise the comprehensive characterization of the en...
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Veröffentlicht in: | Nature cell biology 2024-12, Vol.26 (12), p.2183-2194 |
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container_title | Nature cell biology |
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creator | Zhang, Jinyang Hou, Lingling Ma, Lianjun Cai, Zhengyi Ye, Shujun Liu, Yang Ji, Peifeng Zuo, Zhenqiang Zhao, Fangqing |
description | The high diversity and complexity of the eukaryotic transcriptome make it difficult to effectively detect specific transcripts of interest. Current targeted RNA sequencing methods often require complex pre-sequencing enrichment steps, which can compromise the comprehensive characterization of the entire transcriptome. Here we describe programmable full-length isoform transcriptome sequencing (PROFIT-seq), a method that enriches target transcripts while maintaining unbiased quantification of the whole transcriptome. PROFIT-seq employs combinatorial reverse transcription to capture polyadenylated, non-polyadenylated and circular RNAs, coupled with a programmable control system that selectively enriches target transcripts during sequencing. This approach achieves over 3-fold increase in effective data yield and reduces the time required for detecting specific pathogens or key mutations by 75%. We applied PROFIT-seq to study colorectal polyp development, revealing the intricate relationship between host immune responses and bacterial infection. PROFIT-seq offers a powerful tool for accurate and efficient sequencing of target transcripts while preserving overall transcriptome quantification, with broad applications in clinical diagnostics and targeted enrichment scenarios.
Zhang, Hou, Ma et al. present PROFIT-seq, a sequencing strategy that involves adaptive sampling of transcriptome libraries to enrich genes of interest and allows unbiased quantification of the whole transcriptome. |
doi_str_mv | 10.1038/s41556-024-01537-1 |
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Zhang, Hou, Ma et al. present PROFIT-seq, a sequencing strategy that involves adaptive sampling of transcriptome libraries to enrich genes of interest and allows unbiased quantification of the whole transcriptome.</description><identifier>ISSN: 1465-7392</identifier><identifier>ISSN: 1476-4679</identifier><identifier>EISSN: 1476-4679</identifier><identifier>DOI: 10.1038/s41556-024-01537-1</identifier><identifier>PMID: 39443694</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>38/39 ; 631/114 ; 631/1647/2017 ; Adaptive sampling ; Animals ; Bacterial diseases ; Bar codes ; Biology ; Biomedical and Life Sciences ; Cancer Research ; Cell Biology ; Chromosomes ; Circular RNA ; Combinatorial analysis ; Complexity ; Control systems ; Coronaviruses ; COVID-19 ; Data processing ; Developmental Biology ; Enrichment ; Gene Expression Profiling - methods ; Gene sequencing ; High-Throughput Nucleotide Sequencing - methods ; Humans ; Immune response ; Infections ; Life Sciences ; Mice ; Polyadenylation ; Polyps ; Reverse transcription ; Sequence Analysis, RNA - methods ; Stem Cells ; Target detection ; technical-report ; Transcriptome ; Transcriptomes</subject><ispartof>Nature cell biology, 2024-12, Vol.26 (12), p.2183-2194</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>Copyright Nature Publishing Group Dec 2024</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c356t-4558ba92aec0c561cc2d26f036773ebc911b4f97dd1aa3df76662ea67f4eef613</cites><orcidid>0000-0002-5163-894X ; 0000-0002-6216-1235</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41556-024-01537-1$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41556-024-01537-1$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39443694$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Jinyang</creatorcontrib><creatorcontrib>Hou, Lingling</creatorcontrib><creatorcontrib>Ma, Lianjun</creatorcontrib><creatorcontrib>Cai, Zhengyi</creatorcontrib><creatorcontrib>Ye, Shujun</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Ji, Peifeng</creatorcontrib><creatorcontrib>Zuo, Zhenqiang</creatorcontrib><creatorcontrib>Zhao, Fangqing</creatorcontrib><title>Real-time and programmable transcriptome sequencing with PROFIT-seq</title><title>Nature cell biology</title><addtitle>Nat Cell Biol</addtitle><addtitle>Nat Cell Biol</addtitle><description>The high diversity and complexity of the eukaryotic transcriptome make it difficult to effectively detect specific transcripts of interest. Current targeted RNA sequencing methods often require complex pre-sequencing enrichment steps, which can compromise the comprehensive characterization of the entire transcriptome. Here we describe programmable full-length isoform transcriptome sequencing (PROFIT-seq), a method that enriches target transcripts while maintaining unbiased quantification of the whole transcriptome. PROFIT-seq employs combinatorial reverse transcription to capture polyadenylated, non-polyadenylated and circular RNAs, coupled with a programmable control system that selectively enriches target transcripts during sequencing. This approach achieves over 3-fold increase in effective data yield and reduces the time required for detecting specific pathogens or key mutations by 75%. We applied PROFIT-seq to study colorectal polyp development, revealing the intricate relationship between host immune responses and bacterial infection. PROFIT-seq offers a powerful tool for accurate and efficient sequencing of target transcripts while preserving overall transcriptome quantification, with broad applications in clinical diagnostics and targeted enrichment scenarios.
Zhang, Hou, Ma et al. present PROFIT-seq, a sequencing strategy that involves adaptive sampling of transcriptome libraries to enrich genes of interest and allows unbiased quantification of the whole transcriptome.</description><subject>38/39</subject><subject>631/114</subject><subject>631/1647/2017</subject><subject>Adaptive sampling</subject><subject>Animals</subject><subject>Bacterial diseases</subject><subject>Bar codes</subject><subject>Biology</subject><subject>Biomedical and Life Sciences</subject><subject>Cancer Research</subject><subject>Cell Biology</subject><subject>Chromosomes</subject><subject>Circular RNA</subject><subject>Combinatorial analysis</subject><subject>Complexity</subject><subject>Control systems</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Data processing</subject><subject>Developmental Biology</subject><subject>Enrichment</subject><subject>Gene Expression Profiling - methods</subject><subject>Gene sequencing</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>Humans</subject><subject>Immune response</subject><subject>Infections</subject><subject>Life Sciences</subject><subject>Mice</subject><subject>Polyadenylation</subject><subject>Polyps</subject><subject>Reverse transcription</subject><subject>Sequence Analysis, RNA - methods</subject><subject>Stem Cells</subject><subject>Target detection</subject><subject>technical-report</subject><subject>Transcriptome</subject><subject>Transcriptomes</subject><issn>1465-7392</issn><issn>1476-4679</issn><issn>1476-4679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9kUtr3DAUhUVoyKv9A1kUQzfZqNXV01qVMjQPCCSEZC1k-XriYMtTydPSfx9NJk3aLrKS0Pl07j0cQo6BfQYm6i9ZglKaMi4pAyUMhR1yANJoKrWx7zZ3ragRlu-Tw5wfGAMpmdkj-8JKKbSVB2Rxg36gcz9i5WNbrdK0TH4cfTNgNScfc0j9ap6KnPHHGmPo47L61c_31fXN1enFLS3P78lu54eMH57PI3J3-v12cU4vr84uFt8uaRBKz1QqVTfeco-BBaUhBN5y3TGhjRHYBAvQyM6atgXvRdsZrTVHr00nETsN4oh83fqu1s2IbcBYNhzcKvWjT7_d5Hv3rxL7e7ecfjoAzWthbXE4eXZIU0mTZzf2OeAw-IjTOjsBnDFVW84L-uk_9GFap1jyFUpyUUOtRaH4lgppyjlh97INMLcpyW1LcqUk91SS2-T4-HeOly9_WimA2AK5SHGJ6XX2G7aPDPWdag</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Zhang, Jinyang</creator><creator>Hou, Lingling</creator><creator>Ma, Lianjun</creator><creator>Cai, Zhengyi</creator><creator>Ye, Shujun</creator><creator>Liu, Yang</creator><creator>Ji, Peifeng</creator><creator>Zuo, Zhenqiang</creator><creator>Zhao, Fangqing</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5163-894X</orcidid><orcidid>https://orcid.org/0000-0002-6216-1235</orcidid></search><sort><creationdate>20241201</creationdate><title>Real-time and programmable transcriptome sequencing with PROFIT-seq</title><author>Zhang, Jinyang ; 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Current targeted RNA sequencing methods often require complex pre-sequencing enrichment steps, which can compromise the comprehensive characterization of the entire transcriptome. Here we describe programmable full-length isoform transcriptome sequencing (PROFIT-seq), a method that enriches target transcripts while maintaining unbiased quantification of the whole transcriptome. PROFIT-seq employs combinatorial reverse transcription to capture polyadenylated, non-polyadenylated and circular RNAs, coupled with a programmable control system that selectively enriches target transcripts during sequencing. This approach achieves over 3-fold increase in effective data yield and reduces the time required for detecting specific pathogens or key mutations by 75%. We applied PROFIT-seq to study colorectal polyp development, revealing the intricate relationship between host immune responses and bacterial infection. PROFIT-seq offers a powerful tool for accurate and efficient sequencing of target transcripts while preserving overall transcriptome quantification, with broad applications in clinical diagnostics and targeted enrichment scenarios.
Zhang, Hou, Ma et al. present PROFIT-seq, a sequencing strategy that involves adaptive sampling of transcriptome libraries to enrich genes of interest and allows unbiased quantification of the whole transcriptome.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>39443694</pmid><doi>10.1038/s41556-024-01537-1</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-5163-894X</orcidid><orcidid>https://orcid.org/0000-0002-6216-1235</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 38/39 631/114 631/1647/2017 Adaptive sampling Animals Bacterial diseases Bar codes Biology Biomedical and Life Sciences Cancer Research Cell Biology Chromosomes Circular RNA Combinatorial analysis Complexity Control systems Coronaviruses COVID-19 Data processing Developmental Biology Enrichment Gene Expression Profiling - methods Gene sequencing High-Throughput Nucleotide Sequencing - methods Humans Immune response Infections Life Sciences Mice Polyadenylation Polyps Reverse transcription Sequence Analysis, RNA - methods Stem Cells Target detection technical-report Transcriptome Transcriptomes |
title | Real-time and programmable transcriptome sequencing with PROFIT-seq |
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