Evidence map›Paper›PMID 37024957›Full record

ArticleGenome biology2023

FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5'-end single-cell RNA sequencing.

Yun Li, Zheng Huang, Zhaojun Zhang, Qifei Wang, Fengxian Li, Shufang Wang, Xin Ji, Shaokun Shu, Xiangdong Fang, Lan Jiang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  3. Emerging tools to advance neuroethology in butterflies and moths.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Transcriptome and Temporal Transcriptome Analyses in Single Cells.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Yun Li *China National Center for Bioinformation, Beijing, 100101, China.
Zheng Huang *China National Center for Bioinformation, Beijing, 100101, China.
Zhaojun Zhang *China National Center for Bioinformation, Beijing, 100101, China.
Qifei WangChina National Center for Bioinformation, Beijing, 100101, China.
Fengxian LiThe Blood Transfusion Department, First Medical Center of Chinese, PLA General Hospital, Beijing, 100853, China.
Shufang WangThe Blood Transfusion Department, First Medical Center of Chinese, PLA General Hospital, Beijing, 100853, China.
Xin JiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Beijing, 100142, China.
Shaokun ShuPeking University International Cancer Institute & Peking University Cancer Hospital & Institute, Beijing, 100191, China.
Xiangdong FangChina National Center for Bioinformation, Beijing, 100101, China.
Lan JiangChina National Center for Bioinformation, Beijing, 100101, China. jiangl@big.ac.cn.ORCID http://orcid.org/0000-0003-2008-9631
Chinese Academy of Sciences · CNChinese PLA General Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing methods focusing on the 5'-end of transcripts can reveal promoter and enhancer activity and efficiently profile immune receptor repertoire. However, ultra-high-throughput 5'-end single-cell RNA sequencing methods have not been described. We introduce FIPRESCI, 5'-end single-cell combinatorial indexing RNA-Seq, enabling massive sample multiplexing and increasing the throughput of the droplet microfluidics system by over tenfold. We demonstrate FIPRESCI enables the generation of approximately 100,000 single-cell transcriptomes from E10.5 whole mouse embryos in a single-channel experiment, and simultaneous identification of subpopulation differences and T cell receptor signatures of peripheral blood T cells from 12 cancer patients.

Indexed as

MicrofluidicsSingle-Cell AnalysisAnimalsHigh-Throughput Nucleotide SequencingMiceRNASequence Analysis, RNATranscriptomeRNA10X GenomicsCombinatorial indexingSample multiplexingscTCR-seqscVDJ-seqSingle-cell RNA-seqSingle-nucleus RNA-seq

Identifiers

PMID37024957
PMCPMC10078054
OpenAlexW4362671383

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.