Evidence map›Paper›PMID 34794498›Full record

ArticleBMC research notes2021

Immunomagnetic B cell isolation as a tool to study blood cell subsets and enrich B cell transcripts.

Amanda N Henning, Daniel Green, Ryan Baumann, Patrick Grandinetti, Steven L Highfill, Huizhi Zhou, Valeria De Giorgi

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Amanda N HenningDepartment of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA. amanda.henning@nih.gov.ORCID http://orcid.org/0000-0002-0935-9963
Daniel GreenWomen's Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Ryan BaumannDepartment of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Patrick GrandinettiExperimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Steven L HighfillDepartment of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Huizhi ZhouDepartment of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Valeria De GiorgiDepartment of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
National Institutes of Health Clinical Center · USNational Institutes of Health · US

Funding

CLC NIH HHS Z99 CL999999Intramural NIH HHS Z99 CL999999
6 · The paper itself

Abstract

objectiveTranscriptional profiling of immune cells is an indispensable tool in biomedical research; however, heterogenous sample types routinely used in transcriptomic studies may mask important cell type-specific transcriptional differences. Techniques to isolate desired cell types are used to overcome this limitation. We sought to evaluate the use of immunomagnetic B cell isolation on RNA quality and transcriptional output. Additionally, we aimed to develop a B cell gene signature representative of a freshly isolated B cell population to be used as a tool to verify isolation efficacy and to provide a transcriptional standard for evaluating maintenance or deviation from traditional B cell identity.

resultsWe found RNA quality and RNA-sequencing output to be comparable between donor-matched PBMC, whole blood, and B cells following negative selection by immunomagnetic B cell isolation. Transcriptional analysis enabled the development of an 85 gene B cell signature. This signature effectively clustered isolated B cells from heterogeneous sample types in our study and naïve and memory B cells when applied to transcriptional data from a published source. Additionally, by identifying B cell signature genes whose functional role in B cells is currently unknown, our gene signature has uncovered areas for future investigation.

Indexed as

B-LymphocytesLeukocytes, MononuclearCell SeparationGene Expression ProfilingRNATranscriptomeRNAB cellsDifferential gene expressionGene signatureRNA-sequencing

Identifiers

PMID34794498
PMCPMC8600718
OpenAlexW3211347318

What OpenQuestion holds

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LicenceCC BY
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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.