Evidence map›Paper›PMID 34159323›Full record

ArticleSTAR protocols2021

Dissociation of microdissected mouse brain tissue for artifact free single-cell RNA sequencing.

Lu Liu, Simon Besson-Girard, Hao Ji, Katrin Gehring, Buket Bulut, Tuğberk Kaya, Fumere Usifo, Mikael Simons, Ozgun Gokce

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Lu LiuInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, 81377 Munich, Germany.
Simon Besson-GirardInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, 81377 Munich, Germany.
Hao JiInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, 81377 Munich, Germany.
Katrin GehringInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, 81377 Munich, Germany.
Buket BulutInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, 81377 Munich, Germany.
Tuğberk KayaInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, 81377 Munich, Germany.
Fumere UsifoInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, 81377 Munich, Germany.
Mikael SimonsMunich Cluster of Systems Neurology (SyNergy), 81377 Munich, Germany.
Ozgun GokceInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, 81377 Munich, Germany.
Ludwig-Maximilians-Universität München · DEGerman Center for Neurodegenerative Diseases · DEMunich Cluster for Systems Neurology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) provides the transcriptome of individual cells and addresses previously intractable problems including the central nervous system's transcriptional responses during health and disease. However, dissociating brain cells is challenging and induces artificial transcriptional responses. Here, we describe an enzymatic dissociation method for mouse brain that prevents dissociation artifacts and lowers technical variations with standardized steps. We tested this protocol on microdissected brain tissue of 3-week- to 24-month-old mice and obtained high-quality scRNA-seq results. For complete details on the use and execution of this protocol, please refer to Safaiyan et al. (2021).

Indexed as

AnimalsArtifactsBrainGene Expression ProfilingMiceSequence Analysis, RNASingle-Cell AnalysisCell BiologyCell isolationFlow Cytometry/Mass CytometryNeuroscienceRNA-seqSequencingSingle Cell

Identifiers

PMID34159323
PMCPMC8196224
OpenAlexW3169731363

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.