Evidence map›Paper›PMID 32741082›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2020

OMIP-068: High-Dimensional Characterization of Global and Antigen-Specific B Cells in Chronic Infection.

Katherine Cascino, Mario Roederer, Thomas Liechti

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Comprehensive Immunophenotyping by Polychromatic Cytometry.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Comprehensive phenotyping of human peripheral blood B lymphocytes in pathological conditions.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022
    Article
  11. Review
  12. 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

3 authors.

Katherine CascinoViral Hepatitis Center, Department of Infectious Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21205, USA.ORCID 0000-0001-7308-5162
Mario RoedererImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, Maryland, 20892, USA.
Thomas LiechtiImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, Maryland, 20892, USA.ORCID 0000-0001-8738-6679

Funding

Flow Cytometry CoreZICAI005101 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2025
$25.7M
Immune correlates of acute HBV recovery with and without HIVR01AI116269 · NIAID · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L, THIO, CHLOE L · 2015 to 2019
$3.2M
NIAID NIH HHS R01 AI116269
6 · The paper itself

Abstract

This 24-color flow cytometry panel focuses on characterizing antigen-specific B cells and precise delineation of B-cell subsets in chronic infections and is applicable to other chronic diseases such as autoimmunity. The panel was optimized for human cryopreserved peripheral blood mononuclear cells (PBMCs). Markers were chosen to extensively distinguish B-cell lineages (CD19, CD20, CD10, CD38, CD24, IgM, IgD, CD27, CD21, CD43, CD5). Inclusion of antigen-specific probes was of high priority in order to assess hepatitis B virus (HBV) antigen-specific B cells for our purposes. These probes can be readily exchanged for other pathogen-specific probes or additional markers for the panel to be tailored to desired research questions beyond HBV. In addition, we included a comprehensive and unique set of functional markers such as chemokine receptors (CXCR3, CXCR5), co-stimulatory molecule (CD86), Fc receptor (CD32), regulatory molecules (BTLA, CD39), and inhibitory markers associated with chronic infections (PD-1, FcRL5, CD11c, CD22) to enable in-depth analysis of global and antigen-specific B cells during chronic infection. © 2020 International Society for Advancement of Cytometry.

Indexed as

B-Lymphocyte SubsetsLeukocytes, MononuclearB-LymphocytesFlow CytometryHumansReceptors, CXCR5Receptors, CXCR5antigen-specific B cellsB cellschronic InfectionsHBVmemory B cellsphenotyping

Identifiers

PMID32741082
PMCPMC7581549

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.