Evidence map›Paper›PMID 34763716›Full record

ArticleGenome biology2021

Comprehensive characterization of single-cell full-length isoforms in human and mouse with long-read sequencing.

Luyi Tian, Jafar S Jabbari, Rachel Thijssen, Quentin Gouil, Shanika L Amarasinghe, Oliver Voogd, Hasaru Kariyawasam, Mei R M Du, Jakob Schuster, Changqing Wang and 21 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed
13.6field-weighted citation impact, top 1% 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

157 citing papers in PubMed, 215 citations in OpenAlex.

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97 more citing papers are in PubMed but not listed here.

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

31 authors at 5 institutions in 2 countries.

Luyi TianThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia. tian.l@wehi.edu.au.
Jafar S JabbariThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Rachel ThijssenThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Quentin GouilThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Shanika L AmarasingheThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Oliver VoogdThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Hasaru KariyawasamThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Mei R M DuThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Jakob SchusterThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Changqing WangThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Shian SuThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Xueyi DongThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Charity W LawThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Alexis LucattiniAustralian Genome Research Facility, Victorian Comprehensive Cancer Centre, Melbourne, VIC, Australia.
Yair David Joseph PrawerCentre for Stem Cell Systems, Department of Anatomy and Neuroscience, The University of Melbourne, Parkville, VIC, Australia.
Coralina Collar-FernándezThe Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.
Jin D ChungCentre for Muscle Research, Department of Physiology, The University of Melbourne, Melbourne, VIC, Australia.
Timur NaimCentre for Muscle Research, Department of Physiology, The University of Melbourne, Melbourne, VIC, Australia.
Audrey ChanCentre for Muscle Research, Department of Physiology, The University of Melbourne, Melbourne, VIC, Australia.
Chi Hai LyCentre for Muscle Research, Department of Physiology, The University of Melbourne, Melbourne, VIC, Australia.
Gordon S LynchCentre for Muscle Research, Department of Physiology, The University of Melbourne, Melbourne, VIC, Australia.
James G RyallCentre for Muscle Research, Department of Physiology, The University of Melbourne, Melbourne, VIC, Australia.
Casey J A AnttilaThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Hongke PengThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Mary Ann AndersonThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Christoffer FlensburgThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Ian MajewskiThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Andrew W RobertsThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
David C S HuangThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Michael B ClarkCentre for Stem Cell Systems, Department of Anatomy and Neuroscience, The University of Melbourne, Parkville, VIC, Australia.
Matthew E RitchieThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia. mritchie@wehi.edu.au.ORCID 0000-0002-7383-0609
The University of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AUThe Royal Melbourne Hospital · AUFlorey Institute of Neuroscience and Mental Health · AUVictorian Comprehensive Cancer Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A modified Chromium 10x droplet-based protocol that subsamples cells for both short-read and long-read (nanopore) sequencing together with a new computational pipeline (FLAMES) is developed to enable isoform discovery, splicing analysis, and mutation detection in single cells. We identify thousands of unannotated isoforms and find conserved functional modules that are enriched for alternative transcript usage in different cell types and species, including ribosome biogenesis and mRNA splicing. Analysis at the transcript level allows data integration with scATAC-seq on individual promoters, improved correlation with protein expression data, and linked mutations known to confer drug resistance to transcriptome heterogeneity.

Indexed as

Alternative SplicingAnimalsExonsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMiceNanopore SequencingProtein IsoformsRNA, MessengerRNA SplicingTranscriptomeProtein IsoformsRNA, MessengerLong-read sequencingSingle-cell gene expressionSingle-cell multi-omicsSplicing

Identifiers

PMID34763716
PMCPMC8582192
OpenAlexW3214478476

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.