Evidence map›Paper›PMID 37338365›Full record

ArticleInfection and immunity2023

Transcriptomic Analysis of Mycobacterial Infected Macrophages Reveals a High MOI Specific Type I IFN Signaling.

Yue Ding, Cheng Bei, Qinghua Xue, Liangfei Niu, Jingfeng Tong, Yiwang Chen, Howard E Takiff, Qian Gao, Bo Yan

Abstract read
In one paragraph

Article in Infection and immunity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Frontiers in microbiology · 2026
    Article
  2. Zinc-limitedInfection and immunity · 2025
    Article
  3. Article
  4. Article
  5. 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

9 authors.

Yue Ding *Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity and Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Cheng Bei *Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity and Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Qinghua XueCenter for Tuberculosis Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Liangfei NiuCenter for Tuberculosis Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Jingfeng TongKey Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity and Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Yiwang ChenKey Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity and Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Howard E TakiffLaboratorio de Genética Molecular, CMBC, IVIC, Caracas, Venezuela.ORCID 0000-0002-0480-0860
Qian GaoKey Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity and Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-8489-3672
Bo YanCenter for Tuberculosis Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-7308-8942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophage (MΦ) infection models are important tools for studying host-mycobacterial interactions. Although the multiplicity of infection (MOI) is an important experimental variable, the selection of MOI in mycobacterial infection experiments is largely empirical, without reference to solid experimental data. To provide relevant data, we used RNA-seq to analyze the gene expression profiles of MΦs 4 or 24 h after infection with Mycobacterium marinum (

Indexed as

Interferon Type IMycobacterium tuberculosisMacrophagesSignal TransductionTranscriptomeInterferon Type Imacrophagemultiplicity of infection (MOI)mycobacteriumRNA-seqTNFtype I IFNs

Identifiers

PMID37338365
PMCPMC10353393

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.