Evidence map›Paper›PMID 36452864›Full record

ReviewCell reports methods2022

Challenges and considerations for single-cell and spatially resolved transcriptomics sample collection during spaceflight.

Eliah G Overbey, Saswati Das, Henry Cope, Pedro Madrigal, Zaneta Andrusivova, Solène Frapard, Rebecca Klotz, Daniela Bezdan, Anjali Gupta, Ryan T Scott and 9 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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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

19 authors.

Eliah G OverbeyWeill Cornell Medicine, New York, NY, USA.
Saswati DasDepartment of Biochemistry, Atal Bihari Vajpayee Institute of Medical Sciences & Dr. Ram Manohar Lohia Hospital, New Delhi, India.
Henry CopeSchool of Medicine, University of Nottingham, Derby DE22 3DT, UK.
Pedro MadrigalEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Genome Campus, Hinxton, UK.
Zaneta AndrusivovaScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Solène FrapardScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Rebecca KlotzKBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.
Daniela BezdanInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen 72076, Germany.
Anjali GuptaAxiom Space, Houston, TX, USA.
Ryan T ScottKBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.
Jiwoon ParkWeill Cornell Medicine, New York, NY, USA.
Dawn ChirkoWeill Cornell Medicine, New York, NY, USA.
Jonathan M GalazkaSpace Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.
Sylvain V CostesSpace Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.
Christopher E MasonWeill Cornell Medicine, New York, NY, USA.
Raul HerranzCentro de Investigaciones Biológicas Margarita Salas (CSIC), Madrid 28040, Spain.
Nathaniel J SzewczykSchool of Medicine, University of Nottingham, Derby DE22 3DT, UK.
Joseph BorgDepartment of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, Malta.
Stefania GiacomelloScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) and spatially resolved transcriptomics (SRT) have experienced rapid development in recent years. The findings of spaceflight-based scRNA-seq and SRT investigations are likely to improve our understanding of life in space and our comprehension of gene expression in various cell systems and tissue dynamics. However, compared to their Earth-based counterparts, gene expression experiments conducted in spaceflight have not experienced the same pace of development. Out of the hundreds of spaceflight gene expression datasets available, only a few used scRNA-seq and SRT. In this perspective piece, we explore the growing importance of scRNA-seq and SRT in space biology and discuss the challenges and considerations relevant to robust experimental design to enable growth of these methods in the field.

Indexed as

Space FlightTranscriptomeGene Expression ProfilingSequence Analysis, RNASingle-Cell AnalysisRNA-sequencingsingle-cellspaceflightspatialspatially resolved transcriptomicstranscriptomics

Identifiers

PMID36452864
PMCPMC9701605

What OpenQuestion holds

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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.