Evidence map›Paper›PMID 31186287›Full record

ReviewEssays in biochemistry2019

Application of single-cell RNA sequencing methodologies in understanding haematopoiesis and immunology.

Anna M Ranzoni, Paulina M Strzelecka, Ana Cvejic

Abstract readReview
In one paragraph

Review in Essays in biochemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

3 authors.

Anna M RanzoniDepartment of Haematology, University of Cambridge, Cambridge CB2 0XY, U.K.
Paulina M StrzeleckaDepartment of Haematology, University of Cambridge, Cambridge CB2 0XY, U.K.
Ana CvejicDepartment of Haematology, University of Cambridge, Cambridge CB2 0XY, U.K. as889@cam.ac.uk.ORCID 0000-0003-3204-9311

Funding

Cancer Research UK 14953Medical Research Council MC_PC_12009
6 · The paper itself

Abstract

The blood and immune system are characterised by utmost diversity in its cellular components. This heterogeneity can solely be resolved with the application of single-cell technologies that enable precise examination of cell-to-cell variation. Single-cell transcriptomics is continuously pushing forward our understanding of processes driving haematopoiesis and immune responses in physiological settings as well as in disease. Remarkably, in the last five years, a number of studies involving single-cell RNA sequencing (scRNA-seq) allowed the discovery of new immune cell types and revealed that haematopoiesis is a continuous rather than a stepwise process, thus challenging the classical haematopoietic lineage tree model. This review summarises the most recent studies which applied scRNA-seq to answer outstanding questions in the fields of haematology and immunology and discusses the present challenges and future directions.

Indexed as

AnimalsCells, CulturedHematopoiesisHumansImmune SystemMiceRNA, Small CytoplasmicSequence Analysis, RNASingle-Cell AnalysisRNA, Small CytoplasmichaematopoiesisimmunologySingle-cell RNA sequencing

Identifiers

PMID31186287
PMCPMC6610449

What OpenQuestion holds

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LicenceCC BY
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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.