Evidence map›Paper›PMID 42814322›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Immunophenotyping of Human B Lymphocytes from Peripheral Blood Mononuclear Cells.

Maria Lopez-Ocasio, Wan-Chi Lin, Steven C Hockman, Keyvan Keyvanfar, Pradeep K Dagur

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Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Maria Lopez-OcasioFlow Cytometry Core, NHLBI, NIH, Bethesda, MD, USA. maria.ocasio@nih.gov.
Wan-Chi LinFlow Cytometry Core, NHLBI, NIH, Bethesda, MD, USA.
Steven C HockmanFlow Cytometry Core, NHLBI, NIH, Bethesda, MD, USA.
Keyvan KeyvanfarFlow Cytometry Core, NHLBI, NIH, Bethesda, MD, USA.
Pradeep K DagurFlow Cytometry Core, NHLBI, NIH, Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow cytometry has made it possible to identify human B cell subsets based on surface and intracellular antigens, a process known as immunophenotyping. CD19 and CD20 are commonly expressed in all B cells; the presence or absence of CD27 separates memory B cells from naïve cells, while IgD and IgM are used to distinguish naïve from transitional B cells. Markers such as CD38, CD27, and CD24 are helpful to identify plasmablasts and immature B cells. CD21 points to mature B cells, CD10 is on immature B cells, CD138 marks plasma cells, and CD5 is high in regulatory B cells. Memory B cells have less CD23 than naïve B cells. B cells are multifaceted. They present antigens (APCs), secrete antibodies, and keep the immune system in check. Identifying B-cell subsets in clinical settings-especially for diagnosing immune disorders, autoimmune diseases, and blood cancers like leukemias and lymphomas. Knowing which B cells are present in a certain disease setting helps clinicians understand how far a disease has progressed and how active it is. With this information, a treatment that fits the patient's needs can be selected, ones that target B cells directly, like anti-CD20 antibodies. With flow cytometry as a tool, we can spot B-cell malignancies like chronic lymphocytic leukemia (CLL), follicular lymphoma, mantle cell lymphoma, and multiple myeloma. Flow cytometry is a great tool for both clinicians and researchers. It is fast, reliable, and sensitive. In our protocol, we used a 19-fluorochrome panel to successfully sort out different B cell subsets from human blood. Advances like these not only help classify the disease better, but they also make it possible to personalize treatment decisions in ways that matter for the patients.

Indexed as

B-LymphocytesFlow CytometryImmunophenotypingLeukocytes, MononuclearAntigens, CDB-Lymphocyte SubsetsCell SeparationHumansAntigens, CDB-cell malignanciesCD19CD20Memory B cellsMulti-color flow cytometryPlasmablasts

Identifiers

PMID42814322

What OpenQuestion holds

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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.