Evidence map›Paper›PMID 31681331›Full record

ReviewFrontiers in immunology2019

Challenges and Opportunities for Consistent Classification of Human B Cell and Plasma Cell Populations.

Ignacio Sanz, Chungwen Wei, Scott A Jenks, Kevin S Cashman, Christopher Tipton, Matthew C Woodruff, Jennifer Hom, F Eun-Hyung Lee

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 351 papers.

0numbers the graph read from it
0cells of the map it votes in
351citing 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

351 citing papers in PubMed.

  1. Trial
  2. Trial
  3. B-Cell Aware Analysis of Single-Cell Transcriptomics Data.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  4. Article
  5. Article
  6. Article
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  11. Review
  12. Review
  13. Article
  14. Coexistent alterations of BAFF and B-cell phenotypes in complicated CVID course.The Journal of allergy and clinical immunology · 2026
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

291 more citing papers are in PubMed but not listed here.

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

8 authors.

Ignacio SanzLowance Center for Human Immunology, Emory University, Atlanta, GA, United States.
Chungwen WeiLowance Center for Human Immunology, Emory University, Atlanta, GA, United States.
Scott A JenksLowance Center for Human Immunology, Emory University, Atlanta, GA, United States.
Kevin S CashmanLowance Center for Human Immunology, Emory University, Atlanta, GA, United States.
Christopher TiptonLowance Center for Human Immunology, Emory University, Atlanta, GA, United States.
Matthew C WoodruffLowance Center for Human Immunology, Emory University, Atlanta, GA, United States.
Jennifer HomLowance Center for Human Immunology, Emory University, Atlanta, GA, United States.
F Eun-Hyung LeeLowance Center for Human Immunology, Emory University, Atlanta, GA, United States.

Funding

Regulation of B cell Responses in SLE and Other Autoimmune DiseasesU19AI110483 · NIAID · EMORY UNIVERSITY · PI JEREMY M. BOSS · 2014 to 2026
$76.6M
Regulation of Pathogenic Plasma Cells in Human SLEP01AI125180 · NIAID · EMORY UNIVERSITY · PI Ignacio E. Sanz · 2016 to 2026
$28.2M
Virus-induced Cell Fate Decisions in Anti-Viral ImmunityU19AI109962 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEE, FRANCES EUN-HYUNG · 2014 to 2018
$11.6M
Molecular Mechanisms of Human Long-lived Plasma Cell Generation in the Bone Marrow and SpleenU01AI141993 · NIAID · EMORY UNIVERSITY · PI Frances Eun-Hyung Lee · 2019 to 2026
$5.7M
A Model System for the Study of Human B-cell ToleranceR37AI049660 · NIAID · UNIVERSITY OF ROCHESTER · PI SANZ, IGNACIO E. · 2010 to 2019
$3.7M
Nephrology Institutional Training Grant FLSA SupplementT32DK007656 · NIDDK · EMORY UNIVERSITY · PI SANDS, JEFF M, WALL, SUSAN MARIE · 1990 to 2020
$3.5M
Understanding Survival of Human Bone Marrow Long-Lived Plasma CellsR01AI121252 · NIAID · EMORY UNIVERSITY · PI LEE, FRANCES EUN-HYUNG · 2016 to 2020
$2.7M
NIAID NIH HHS P01 AI125180NIAID NIH HHS R01 AI121252NIAID NIH HHS R37 AI049660NIAID NIH HHS U01 AI141993NIAID NIH HHS U19 AI109962NIAID NIH HHS U19 AI110483NIDDK NIH HHS T32 DK007656
6 · The paper itself

Abstract

The increasingly recognized role of different types of B cells and plasma cells in protective and pathogenic immune responses combined with technological advances have generated a plethora of information regarding the heterogeneity of this human immune compartment. Unfortunately, the lack of a consistent classification of human B cells also creates significant imprecision on the adjudication of different phenotypes to well-defined populations. Additional confusion in the field stems from: the use of non-discriminatory, overlapping markers to define some populations, the extrapolation of mouse concepts to humans, and the assignation of functional significance to populations often defined by insufficient surface markers. In this review, we shall discuss the current understanding of human B cell heterogeneity and define major parental populations and associated subsets while discussing their functional significance. We shall also identify current challenges and opportunities. It stands to reason that a unified approach will not only permit comparison of separate studies but also improve our ability to define deviations from normative values and to create a clean framework for the identification, functional significance, and disease association with new populations.

Indexed as

AnimalsB-LymphocytesB-Lymphocytes, RegulatoryCytokinesHumansImmunity, HumoralImmunoglobulin DImmunoglobulin MImmunologic MemoryPlasma CellsCytokinesImmunoglobulin DImmunoglobulin MABCatypical B cellsB cellsBregDN2memorynaïvetransitional

Identifiers

PMID31681331
PMCPMC6813733

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.