Evidence map›Paper›PMID 38853908›Full record

ArticlebioRxiv : the preprint server for biology2024

Single Cell Analysis of Peripheral TB-Associated Granulomatous Lymphadenitis.

Philip J Moos, Allison F Carey, Jacklyn Joseph, Stephanie Kialo, Joe Norrie, Julie M Moyarelce, Anthony Amof, Hans Nogua, Albebson L Lim, Louis R Barrows

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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
–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

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

10 authors.

Philip J MoosDepartment of Pharmacology and Toxicology, University of Utah, Salt Lake City, Utah 84112 USA.
Allison F CareyDepartment of Pathology, University of Utah, Salt Lake City, Utah 84112 USA.
Jacklyn JosephCoordinator of Pathology Services, Port Moresby General Hospital, Boroko Post, 111, Papua New Guinea.
Stephanie KialoDivision of Pathology, School of Medicine and Health Sciences, University of Papua New Guinea and Central Public Health Laboratory, Papua New Guinea National Department of Health, PMGH, P.O. Box 5623 Boroko, Papua New Guinea.
Joe NorrieDivision of Pathology, School of Medicine and Health Sciences, University of Papua New Guinea and Central Public Health Laboratory, Papua New Guinea National Department of Health, PMGH, P.O. Box 5623 Boroko, Papua New Guinea.
Julie M MoyarelceDivision of Pathology, School of Medicine and Health Sciences, University of Papua New Guinea and Central Public Health Laboratory, Papua New Guinea National Department of Health, PMGH, P.O. Box 5623 Boroko, Papua New Guinea.
Anthony AmofDivision of Pathology, School of Medicine and Health Sciences, University of Papua New Guinea and Central Public Health Laboratory, Papua New Guinea National Department of Health, PMGH, P.O. Box 5623 Boroko, Papua New Guinea.
Hans NoguaDivision of Pathology, School of Medicine and Health Sciences, University of Papua New Guinea and Central Public Health Laboratory, Papua New Guinea National Department of Health, PMGH, P.O. Box 5623 Boroko, Papua New Guinea.
Albebson L LimDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, Utah 84112 USA.ORCID 0000-0001-9972-3425
Louis R BarrowsDepartment of Pharmacology and Toxicology, University of Utah, Salt Lake City, Utah 84112 USA.ORCID 0000-0002-4200-6051

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Mycobacterial determinants of escape from pathogen-specific immunityK08AI139339 · NIAID · UNIVERSITY OF UTAH · PI CAREY, ALLISON · 2018 to 2022
$1.0M
NCI NIH HHS P30 CA042014NIAID NIH HHS K08 AI139339
6 · The paper itself

Abstract

We successfully employed a single cell RNA sequencing (scRNA-seq) approach to describe the cells and the communication networks characterizing granulomatous lymph nodes of TB patients. When mapping cells from individual patient samples, clustered based on their transcriptome similarities, we uniformly identify several cell types that known to characterize human and non-human primate granulomas. Whether high or low Mtb burden, we find the T cell cluster to be one of the most abundant. Many cells expressing T cell markers are clearly quantifiable within this CD3 expressing cluster. Other cell clusters that are uniformly detected, but that vary dramatically in abundance amongst the individual patient samples, are the B cell, plasma cell and macrophage/dendrocyte and NK cell clusters. When we combine all our scRNA-seq data from our current 23 patients (in order to add power to cell cluster identification in patient samples with fewer cells), we distinguish T, macrophage, dendrocyte and plasma cell subclusters, each with distinct signaling activities. The sizes of these subclusters also varies dramatically amongst the individual patients. In comparing FNA composition we noted trends in which T cell populations and macrophage/dendrocyte populations were negatively correlated with NK cell populations. In addition, we also discovered that the scRNA-seq pipeline, designed for quantification of human cell mRNA, also detects Mtb RNA transcripts and associates them with their host cell's transcriptome, thus identifying individual infected cells. We hypothesize that the number of detected bacterial transcript reads provides a measure of Mtb burden, as does the number of Mtb-infected cells. The number of infected cells also varies dramatically in abundance amongst the patient samples. CellChat analysis identified predominating signaling pathways amongst the cells comprising the various granulomas, including many interactions between stromal or endothelial cells and the other component cells, such as Collagen, FN1 and Laminin,. In addition, other more selective communications pathways, including MIF, MHC-1, MHC-2, APP, CD 22, CD45, and others, are identified as originating or being received by individual immune cell components.

Identifiers

PMID38853908
PMCPMC11160601

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.