Evidence map›Paper›PMID 39443694›Full record

ArticleNature cell biology2024

Real-time and programmable transcriptome sequencing with PROFIT-seq.

Jinyang Zhang, Lingling Hou, Lianjun Ma, Zhengyi Cai, Shujun Ye, Yang Liu, Peifeng Ji, Zhenqiang Zuo, Fangqing Zhao

Abstract read
In one paragraph

Article in Nature cell biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jinyang Zhang *Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-5163-894X
Lingling Hou *Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Lianjun Ma *Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, China.
Zhengyi CaiInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.
Shujun YeEndoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, China.
Yang LiuEndoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, China.
Peifeng JiInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.
Zhenqiang ZuoInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.
Fangqing ZhaoInstitute of Zoology, Chinese Academy of Sciences, Beijing, China. zhfq@ioz.ac.cn.ORCID 0000-0002-6216-1235

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 32025009, 32130020
6 · The paper itself

Abstract

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.

Indexed as

Sequence Analysis, RNATranscriptomeAnimalsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMice

Identifiers

PMID39443694
PMCPMC11628399

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.