Evidence map›Paper›PMID 35594038›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2022

Distinguishing cell-cell complexes from dual lineage cells using single-cell transcriptomics is not trivial.

Julie G Burel, Ashu Chawla, Jason A Greenbaum, Bjoern Peters

Abstract readComment
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Julie G BurelCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.ORCID 0000-0003-1692-2758
Ashu ChawlaCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.
Jason A GreenbaumCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.
Bjoern PetersCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

Funding

Single-cell atlas of lung tissue-resident memory T cells reactive to upper and lower respiratory tract pathogensU19AI118626 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Bjoern Peters · 2015 to 2026
$36.7M
NIAID NIH HHS U19 AI118626
6 · The paper itself

Abstract

In their recent correspondence, Jie et al. strongly defend that the DE cell population they discovered are always dual lineage co-expressing cells and not complexes of B cells and T cells, which we have previously described as frequently present in single-cell RNA sequencing data. Here, we respond to the specific arguments made in their correspondence. Specifically, we demonstrate that the presence of a gene signature in a given cell population is not enough to ascertain that it does not contain cell-cell complexes, or that it represents a biologically distinct cell type. We also show that the gene signature of DE cells contains several genes from the myeloid lineage, suggesting either that their DE cells are a triple-lineage co-expressing cell, or a three-component cell aggregate. Finally, we identify multiple transcriptomic features of DE cells that correspond to B cell-T cell complexes, namely the presence of lower average expression of B- and T-cell specific genes, and a higher number of detected genes per cell. Taken together, our results demonstrate that solely based on their scRNAseq profile, it is not possible to ascertain that DE cells are dual expressing cells and not cell-cell complexes.

Indexed as

B-LymphocytesTranscriptomeCell Lineage

Identifiers

PMID35594038
PMCPMC10049842

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.