Evidence map›Paper›PMID 35701452›Full record

ArticleScientific reports2022

Gut mucosa dissociation protocols influence cell type proportions and single-cell gene expression levels.

Werna T C Uniken Venema, Aarón D Ramírez-Sánchez, Emilia Bigaeva, Sebo Withoff, Iris Jonkers, Rebecca E McIntyre, Mennatallah Ghouraba, Tim Raine, Rinse K Weersma, Lude Franke and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 52 citations in OpenAlex.

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  15. Matrix metalloproteinases in intestinal fibrosis.Journal of Crohn's & colitis · 2024
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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

12 authors at 3 institutions in 2 countries.

Werna T C Uniken Venema *Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-1515-0920
Aarón D Ramírez-Sánchez *Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Emilia BigaevaDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Sebo WithoffDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Iris JonkersDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0003-2304-7939
Rebecca E McIntyreWellcome Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK.
Mennatallah GhourabaWellcome Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK.ORCID 0000-0003-4671-3500
Tim RaineDepartment of Gastroenterology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Rinse K WeersmaDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Lude FrankeDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Eleonora A M FestenDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. e.a.m.festen@umcg.nl.
Monique G P van der WijstDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. m.g.p.van.der.wijst@umcg.nl.ORCID 0000-0003-1520-3970
University Medical Center Groningen · NLWellcome Sanger Institute · GBCambridge University Hospitals NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of the cellular landscape of organs. Most single-cell protocols require fresh material, which limits sample size per experiment, and consequently, introduces batch effects. This is especially true for samples acquired through complex medical procedures, such as intestinal mucosal biopsies. Moreover, the tissue dissociation procedure required for obtaining single cells is a major source of noise; different dissociation procedures applied to different compartments of the tissue induce artificial gene expression differences between cell subsets. To overcome these challenges, we have developed a one-step dissociation protocol and demonstrated its use on cryopreserved gut mucosal biopsies. Using flow cytometry and scRNA-seq analysis, we compared this one-step dissociation protocol with the current gold standard, two-step collagenase digestion, and an adaptation of a recently published alternative, three-step cold-active Bacillus licheniformus protease digestion. Both cell viability and cell type composition were comparable between the one-step and two-step collagenase dissociation, with the former being more time-efficient. The cold protease digestion resulted in equal cell viability, but better preserves the epithelial cell types. Consequently, to analyze the rarer cell types, such as glial cells, larger total biopsy cell numbers are required as input material. The multi-step protocols affected cell types spanning multiple compartments differently. In summary, we show that cryopreserved gut mucosal biopsies can be used to overcome the logistical challenges and batch effects in large scRNA-seq studies. Furthermore, we demonstrate that using cryopreserved biopsies digested using a one-step collagenase protocol enables large-scale scRNA-seq, FACS, organoid generation and intraepithelial lymphocyte expansion.

Indexed as

CollagenasesIntestinal MucosaFlow CytometryGene ExpressionGene Expression ProfilingPeptide HydrolasesSequence Analysis, RNASingle-Cell AnalysisCollagenasesPeptide Hydrolases

Identifiers

PMID35701452
PMCPMC9197976
OpenAlexW4282937457

What OpenQuestion holds

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Registered trials

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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.