Evidence map›Paper›PMID 35095922›Full record

ArticleFrontiers in immunology2021

Tracking Immunoglobulin Repertoire and Transcriptomic Changes in Germinal Center B Cells by Single-Cell Analysis.

Clarissa Corinaldesi, Antony B Holmes, Qiong Shen, Eli Grunstein, Laura Pasqualucci, Riccardo Dalla-Favera, Katia Basso

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Single-Cell Transcriptomic Analysis of Normal and Malignant B Cells.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. Article
  7. Single Cell VDJ Sequencing of Normal and Malignant B and T Cells.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. Review
  9. 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.

Clarissa CorinaldesiInstitute for Cancer Genetics, Columbia University, New York, NY, United States.
Antony B HolmesInstitute for Cancer Genetics, Columbia University, New York, NY, United States.
Qiong ShenInstitute for Cancer Genetics, Columbia University, New York, NY, United States.
Eli GrunsteinDepartment of Otolaringology Head and Neck Surgery, Columbia University, New York, NY, United States.
Laura PasqualucciInstitute for Cancer Genetics, Columbia University, New York, NY, United States.
Riccardo Dalla-FaveraInstitute for Cancer Genetics, Columbia University, New York, NY, United States.
Katia BassoInstitute for Cancer Genetics, Columbia University, New York, NY, United States.
Cancer Genetics (United States) · USColumbia University · US

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Parisa Tehranifar · 1985 to 2026
$115.3M
From pathogenesis to new therapeutic targets in Diffuse Large B cell LymphomaR35CA210105 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Riccardo Dalla-Favera · 2016 to 2026
$10.0M
NCI NIH HHS P30 CA013696NCI NIH HHS R35 CA210105
6 · The paper itself

Abstract

In response to T-cell-dependent antigens, mature B cells in the secondary lymphoid organs are stimulated to form germinal centers (GCs), which are histological structures deputed to antibody affinity maturation, a process associated with immunoglobulin gene editing by somatic hypermutation (SHM) and class switch recombination (CSR). GC B cells are heterogeneous and transition across multiple stages before being eliminated by apoptosis or committing to post-GC differentiation as memory B cells or plasma cells. In order to explore the dynamics of SHM and CSR during the GC reaction, we identified GC subpopulations by single-cell (sc) transcriptomics and analyzed the load of immunoglobulin variable (V) region mutations as well as the isotype class distribution in each subpopulation. The results showed that the large majority of GC B cells display a quantitatively similar mutational load in the V regions and analogous IGH isotype class distribution, except for the precursors of memory B cells (PreM) and plasma cells (PBL). PreM showed a bimodal pattern with about half of the cells displaying high V region germline identity and enrichment for unswitched IGH, while the rest of the cells carried a mutational load similar to the bulk of GC B cells and showed a switched isotype. PBL displayed a bias toward expression of IGHG and higher V region germline identity compared to the bulk of GC B cells. Genes implicated in SHM and CSR were significantly induced in specific GC subpopulations, consistent with the occurrence of SHM in dark zone cells and suggesting that CSR can occur within the GC.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisSomatic Hypermutation, ImmunoglobulinTranscriptomeB-LymphocytesB-Lymphocyte SubsetsComputational BiologyGerminal CenterHumansImmunoglobulin Class SwitchingImmunoglobulin Variable RegionImmunologic MemoryPlasma CellsReceptors, Antigen, B-CellSignal TransductionImmunoglobulin Variable RegionReceptors, Antigen, B-CellB cell receptorgene expressiongerminal centermemory B cellsplasma cellssingle-cell analysis

Identifiers

PMID35095922
PMCPMC8789751
OpenAlexW4206921260

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.