ArticleFrontiers in genetics2019
Identification and Classification of Differentially Expressed Genes and Network Meta-Analysis Reveals Potential Molecular Signatures Associated With Tuberculosis.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Pooled it
- Targeting protein protein interactions and their modulators to enable new therapeutic strategies for human diseases.NPJ systems biology and applications · 2026Review
- Insights into the host response to 'dormant' Mycobacterium tuberculosis utilizing 'Vitamin C-induced dormant Mtb' THP-1 cell infection model.BMC genomics · 2026Article
- Immunogenicity and protective efficacy of a multi-antigenic adenovirus-based vaccine candidate againstFrontiers in microbiology · 2025Article
- A systems biology approach to unveil shared therapeutic targets and pathological pathways across major human cancers.Computational and structural biotechnology journal · 2025Article
- Detection of microRNAs expression signatures in vitreous humor of intraocular tuberculosis.Molecular biology reports · 2023Article
- Article
- CDK1 and HSP90AA1 Appear as the Novel Regulatory Genes in Non-Small Cell Lung Cancer: A Bioinformatics Approach.Journal of personalized medicine · 2022Article
- System-wide identification of myeloid markers of TB disease and HIV-induced reactivation in the macaque model of Mtb infection and Mtb/SIV co-infection.Frontiers in immunology · 2022Article
- In-depth systems biological evaluation of bovine alveolar macrophages suggests novel insights into molecular mechanisms underlyingFrontiers in microbiology · 2022Article
- Article
- Prediction of anti-tuberculosis treatment duration based on a 22-gene transcriptomic model.The European respiratory journal · 2021Article
- Enhanced Pharmaceutically Active Compounds Productivity fromMolecules (Basel, Switzerland) · 2021Article
- Curation of over 10 000 transcriptomic studies to enable data reuse.Database : the journal of biological databases and curation · 2021Article
- An Integrative Network Approach to Identify Common Genes for the Therapeutics in Tuberculosis and Its Overlapping Non-Communicable Diseases.Frontiers in pharmacology · 2021Article
- Whole Genome Methylation Analysis Reveals Role of DNA Methylation in Cow's Ileal and Ileal Lymph Node Responses toFrontiers in genetics · 2021Article
- Identification of key regulators in parathyroid adenoma using an integrative gene network analysis.Bioinformation · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is one of deadly transmissible disease that causes death worldwide; however, only 10% of people infected with
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.