Evidence map›Paper›PMID 36964177›Full record

ArticleScientific reports2023

RevGel-seq: instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding.

Jun Komatsu, Alba Cico, Raya Poncin, Maël Le Bohec, Jörg Morf, Stanislav Lipin, Antoine Graindorge, Hélène Eckert, Azadeh Saffarian, Léa Cathaly and 23 more

Open access · goldFull text read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
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  4. Review
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  6. Opportunities and challenges in the application of single-cell transcriptomics in plant tissue research.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    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

33 authors at 3 institutions in 2 countries.

Jun KomatsuScipio Bioscience, Paris, France.
Alba CicoScipio Bioscience, Paris, France.
Raya PoncinScipio Bioscience, Paris, France.
Maël Le BohecScipio Bioscience, Paris, France.
Jörg MorfScipio Bioscience, Paris, France.
Stanislav LipinScipio Bioscience, Paris, France.
Antoine GraindorgeScipio Bioscience, Paris, France.
Hélène EckertScipio Bioscience, Paris, France.
Azadeh SaffarianScipio Bioscience, Paris, France.
Léa CathalyScipio Bioscience, Paris, France.
Frédéric GuérinScipio Bioscience, Paris, France.
Sara MajelloScipio Bioscience, Paris, France.
Damien UlvelingScipio Bioscience, Paris, France.
Anaïs VayabouryScipio Bioscience, Paris, France.
Nicolas FernandezScipio Bioscience, Paris, France.
Dilyana DimitrovaScipio Bioscience, Paris, France.
Xavier BussellScipio Bioscience, Paris, France.
Yannick FourneScipio Bioscience, Paris, France.
Pierre ChaumatScipio Bioscience, Paris, France.
Barbara AndréScipio Bioscience, Paris, France.
Elodie BaldiviaScipio Bioscience, Paris, France.
Ulysse GodetScipio Bioscience, Paris, France.
Mathieu GuininScipio Bioscience, Paris, France.
Vivien MorettoScipio Bioscience, Paris, France.
Joy IsmailScipio Bioscience, Paris, France.
Olivier CailleScipio Bioscience, Paris, France.
Natacha RoblotSorbonne Université, Inserm, Centre de Recherche Saint-Antoine, CRSA, 75012, Paris, France.
Carine BeaupèreSorbonne Université, Inserm, Centre de Recherche Saint-Antoine, CRSA, 75012, Paris, France.
Alexandrine LibozSorbonne Université, Inserm, Centre de Recherche Saint-Antoine, CRSA, 75012, Paris, France.
Ghislaine GuillemainSorbonne Université, Inserm, Centre de Recherche Saint-Antoine, CRSA, 75012, Paris, France.
Bertrand BlondeauSorbonne Université, Inserm, Centre de Recherche Saint-Antoine, CRSA, 75012, Paris, France.
Pierre WalrafenScipio Bioscience, Paris, France. pierre.walrafen@scipio.bio.
Stuart EdelsteinScipio Bioscience, Paris, France. stuart.edelstein@scipio.bio.
Sorbonne Université · FRInserm · FRNBE Therapeutics (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progress in sample preparation for scRNA-seq is reported based on RevGel-seq, a reversible-hydrogel technology optimized for samples of fresh cells. Complexes of one cell paired with one barcoded bead are stabilized by a chemical linker and dispersed in a hydrogel in the liquid state. Upon gelation on ice the complexes are immobilized and physically separated without requiring nanowells or droplets. Cell lysis is triggered by detergent diffusion, and RNA molecules are captured on the adjacent barcoded beads for further processing with reverse transcription and preparation for cDNA sequencing. As a proof of concept, analysis of PBMC using RevGel-seq achieves results similar to microfluidic-based technologies when using the same original sample and the same data analysis software. In addition, a clinically relevant application of RevGel-seq is presented for pancreatic islet cells. Furthermore, characterizations carried out on cardiomyocytes demonstrate that the hydrogel technology readily accommodates very large cells. Standard analyses are in the 10,000-input cell range with the current gelation device, in order to satisfy common requirements for single-cell research. A convenient stopping point after two hours has been established by freezing at the cell lysis step, with full preservation of gene expression profiles. Overall, our results show that RevGel-seq represents an accessible and efficient instrument-free alternative, enabling flexibility in terms of experimental design and timing of sample processing, while providing broad coverage of cell types.

Indexed as

Sequence Analysis, RNASingle-Cell AnalysisAnimalsGene Expression ProfilingHumansHydrogelsMiceHydrogels

Identifiers

PMID36964177
PMCPMC10039079
OpenAlexW4360829845

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read60
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.