Evidence map›Paper›PMID 35637419›Full record

ArticleNature biotechnology2022

Fast and highly sensitive full-length single-cell RNA sequencing using FLASH-seq.

Vincent Hahaut, Dinko Pavlinic, Walter Carbone, Sven Schuierer, Pierre Balmer, Mathieu Quinodoz, Magdalena Renner, Guglielmo Roma, Cameron S Cowan, Simone Picelli

Open access · hybridAbstract read
In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
10.3field-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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

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20 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

10 authors at 2 institutions in 1 country.

Vincent HahautInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Dinko PavlinicInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Walter CarboneChemical Biology and Therapeutics, Novartis Institutes for Biomedical Research, Basel, Switzerland.ORCID 0000-0001-6150-8295
Sven SchuiererChemical Biology and Therapeutics, Novartis Institutes for Biomedical Research, Basel, Switzerland.ORCID 0000-0003-1659-0941
Pierre BalmerInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Mathieu QuinodozInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Magdalena RennerInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Guglielmo RomaChemical Biology and Therapeutics, Novartis Institutes for Biomedical Research, Basel, Switzerland.
Cameron S CowanInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Simone PicelliInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland. simone.picelli@iob.ch.ORCID 0000-0002-1747-614X
University of Basel · CHNovartis (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present FLASH-seq (FS), a full-length single-cell RNA sequencing (scRNA-seq) method with increased sensitivity and reduced hands-on time compared to Smart-seq3. The entire FS protocol can be performed in ~4.5 hours, is simple to automate and can be easily miniaturized to decrease resource consumption. The FS protocol can also use unique molecular identifiers (UMIs) for molecule counting while displaying reduced strand-invasion artifacts. FS will be especially useful for characterizing gene expression at high resolution across multiple samples.

Indexed as

RNASingle-Cell AnalysisExome SequencingGene Expression ProfilingSequence Analysis, RNARNA

Identifiers

PMID35637419
PMCPMC9546769
OpenAlexW4281928121

What OpenQuestion holds

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LicenceCC BY
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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.