Evidence map›Paper›PMID 38912840›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2024

Imaging the Architecture of Granulomas Induced by Mycobacterium tuberculosis Infection with Single-molecule Fluorescence In Situ Hybridization.

Ranjeet Kumar, Afsal Kolloli, Selvakumar Subbian, Deepak Kaushal, Lanbo Shi, Sanjay Tyagi

Abstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Building Spatiotemporal Understanding ofACS infectious diseases · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Mathematical modeling suggests heterogeneous replication ofbioRxiv : the preprint server for biology · 2024
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ranjeet KumarPublic Health Research Institute.ORCID 0000-0002-0035-8729
Afsal KolloliPublic Health Research Institute.ORCID 0000-0002-4840-1685
Selvakumar SubbianPublic Health Research Institute.
Deepak KaushalSouthwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX.
Lanbo ShiPublic Health Research Institute.ORCID 0000-0001-8582-7645
Sanjay TyagiPublic Health Research Institute.ORCID 0000-0001-7303-5827

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
Viral Testing CoreU42OD010442 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Smriti Mehra · 2012 to 2026
$35.6M
SigH based attenuated, efficacious Mtb vaccines to protect against lethal TBR01AI138587 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI JAGANNATH, CHINNASWAMY, KAUSHAL, DEEPAK · 2018 to 2022
$4.4M
Rapid Analysis of Single T Cell Immunity Signatures in TuberculosisR01AI106036 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI BUSHKIN, YURI, GENNARO, MARIA LAURA · 2012 to 2016
$3.8M
The Warburg effect and host immune response in tuberculosisR01AI127844 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI SHI, LANBO, SUBBIAN, SELVAKUMAR · 2017 to 2021
$3.4M
Background free amplified single-molecule FISH for in situ and flow cytometric applicationsR01CA227291 · NCI · RBHS-NEW JERSEY MEDICAL SCHOOL · PI TYAGI, SANJAY · 2018 to 2022
$2.8M
Bill and Melinda Gates Foundation (GF) OPP1157210HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01AI127844HHS | NIH | NIAID | Division of Microbiology and Infectious Diseases (DMID) R01AI127844NCI NIH HHS R01 CA227291New Jersey Health Foundation (NJHF) NJHFNIAID NIH HHS R01 AI106036NIAID NIH HHS R01 AI127844NIAID NIH HHS R01 AI138587NIH HHS P51 OD011133NIH HHS U42 OD010442
6 · The paper itself

Abstract

Granulomas are an important hallmark of Mycobacterium tuberculosis infection. They are organized and dynamic structures created when immune cells assemble around the sites of infection in the lungs that locally restrict M. tuberculosis growth and the host's inflammatory responses. The cellular architecture of granulomas is traditionally studied by immunofluorescence labeling of surface markers on the host cells. However, very few Abs are available for model animals used in tuberculosis research, such as nonhuman primates and rabbits, and secreted immunological markers such as cytokines cannot be imaged in situ using Abs. Furthermore, traditional phenotypic surface markers do not provide sufficient resolution for the detection of the many subtypes and differentiation states of immune cells. Using single-molecule fluorescence in situ hybridization (smFISH) and its derivatives, amplified smFISH and iterative smFISH, we developed a platform for imaging mRNAs encoding immune markers in rabbit and macaque tuberculosis granulomas. Multiplexed imaging for several mRNA and protein markers was followed by quantitative measurement of the expression of these markers in single cells. An analysis of the combinatorial expressions of these markers allowed us to classify the cells into several subtypes, and to chart their densities within granulomas. For one mRNA target, hypoxia-inducible factor-1α, we imaged its mRNA and protein in the same cells, demonstrating the specificity of the probes. This method paves the way for defining granular differentiation states and cell subtypes from transcriptomic data, identifying key mRNA markers for these cell subtypes, and then locating the cells in the spatial context of granulomas.

Indexed as

GranulomaIn Situ Hybridization, FluorescenceMycobacterium tuberculosisAnimalsBiomarkersDisease Models, AnimalLungRabbitsTuberculosisTuberculosis, PulmonaryBiomarkers

Identifiers

PMID38912840
PMCPMC11407750

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.