ReviewInternational journal of molecular sciences2022
Non-Coding RNAs in Tuberculosis Epidemiology: Platforms and Approaches for Investigating the Genome's Dark Matter.
Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- RNA modifications as innovative pharmaceutical targets: emerging drug delivery strategies and precision therapeutics for cancer immunotherapy and metabolic diseases.Molecular biology reports · 2026Review
- Emerging roles of circular RNAs and enhancer RNAs: new insights into the development and management of neurodegenerative disorders.Biomarker research · 2026Review
- The intersection of ferroptosis and non-coding RNAs: a novel approach to lung cancer.Irish journal of medical science · 2025Review
- Computational identification and experimental validation of novelPlant signaling & behavior · 2025Article
- The regulating markers for Brucella spondylitis and tuberculous spondylitis.BMC infectious diseases · 2025Article
- Long non-coding RNA transcripts inNon-coding RNA research · 2025Review
- An integrative and comprehensive analysis of blood transcriptomes combined with machine learning models reveals key signatures for tuberculosis diagnosis and risk stratification.Frontiers in microbiology · 2025Article
- Identification and Validation of Functional miRNAs and Their Main Targets in Sorghum bicolor.Molecular biotechnology · 2025Article
- The dynamic face of cadmium-induced Carcinogenesis: Mechanisms, emerging trends, and future directions.Current research in toxicology · 2024Review
- Identification of Differential Circular RNA Expression Profiles and Functional Networks in Human Macrophages Induced by Virulent and AvirulentInternational journal of molecular sciences · 2023Article
- Non-Coding RNAs and Human Diseases: Current Status and Future Perspectives.International journal of molecular sciences · 2023Article
- Advances in computational frameworks in the fight against TB: The way forward.Frontiers in pharmacology · 2023Review
- Integrated Pangenome Analysis and Pharmacophore Modeling Revealed Potential Novel Inhibitors againstInternational journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A growing amount of information about the different types, functions, and roles played by non-coding RNAs (ncRNAs) is becoming available, as more and more research is done. ncRNAs have been identified as potential therapeutic targets in the treatment of tuberculosis (TB), because they may be essential regulators of the gene network. ncRNA profiling and sequencing has recently revealed significant dysregulation in tuberculosis, primarily due to aberrant processes of ncRNA synthesis, including amplification, deletion, improper epigenetic regulation, or abnormal transcription. Despite the fact that ncRNAs may have a role in TB characteristics, the detailed mechanisms behind these occurrences are still unknown. The dark matter of the genome can only be explored through the development of cutting-edge bioinformatics and molecular technologies. In this review, ncRNAs' synthesis and functions are discussed in detail, with an emphasis on the potential role of ncRNAs in tuberculosis. We also focus on current platforms, experimental strategies, and computational analyses to explore ncRNAs in TB. Finally, a viewpoint is presented on the key challenges and novel techniques for the future and for a wide-ranging therapeutic application of ncRNAs.
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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 Socratic graph.