Evidence map›Paper›PMID 34057731›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Single-Cell Analysis of Hematopoietic Stem Cells.

Katherine H M Sturgess, Fernando J Calero-Nieto, Berthold Göttgens, Nicola K Wilson

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Katherine H M SturgessDepartment of Haematology, Jeffrey Cheah Biomedical Centre, Puddicombe Way, Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
Fernando J Calero-NietoDepartment of Haematology, Jeffrey Cheah Biomedical Centre, Puddicombe Way, Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
Berthold GöttgensDepartment of Haematology, Jeffrey Cheah Biomedical Centre, Puddicombe Way, Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
Nicola K WilsonDepartment of Haematology, Jeffrey Cheah Biomedical Centre, Puddicombe Way, Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK. nkw22@cam.ac.uk.

Funding

Medical Research Council MR/M008975/1Medical Research Council MR/S036113/1Wellcome Trust 203151/Z/16/ZWellcome Trust 206328/Z/17/Z
6 · The paper itself

Abstract

The study of hematopoiesis has been revolutionized in recent years by the application of single-cell RNA sequencing technologies. The technique coupled with rapidly developing bioinformatic analysis has provided great insight into the cell type compositions of many populations previously defined by their cell surface phenotype. Moreover, transcriptomic information enables the identification of individual molecules and pathways which define novel cell populations and their transitions including cell lineage decisions. Combining single-cell transcriptional profiling with molecular perturbations allows functional analysis of individual factors in gene regulatory networks and better understanding of the earliest stages of malignant transformation. In this chapter we describe a comprehensive protocol for scRNA-Seq analysis of the mouse bone marrow, using both plate-based (low throughput) and droplet-based (high throughput) methods. The protocol includes instructions for sample preparation, an antibody panel for flow cytometric purification of hematopoietic progenitors with index sorting for plate-based analysis or in bulk for droplet-based methods. The plate-based protocol described in this chapter is a combination of the Smart-Seq2 and mcSCRB-Seq protocols, optimized in our laboratory. It utilizes off-the-shelf reagents for cDNA preparation, is amenable to automation using a liquid handler, and takes 4 days from preparation of the cells for sorting to producing a sequencing-ready library. The droplet-based method (using for instance the 10× Genomics platform) relies on the manufacturer's user guide and commercial reagents, and takes 3 days from isolation of the cells to the production of a library ready for sequencing.

Indexed as

Gene Expression ProfilingHematopoiesisSingle-Cell AnalysisTranscriptomeAnimalsCell LineageCell SeparationFlow CytometryGene LibraryGene Regulatory NetworksHematopoietic Stem CellsMicePhenotypeRNA-SeqBone marrowGene regulatory networksHematopoiesisHematopoietic stem cellHematopoietic stem/progenitor cellmcSCRB-SeqmcSmart-Seq2scRNA-SeqSmart-Seq2Transcriptome

Identifiers

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.