SynthesisJournal of clinical microbiology2022
Nanopore Sequencing for Mycobacterium tuberculosis: a Critical Review of the Literature, New Developments, and Future Opportunities.
Synthesis in Journal of clinical microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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.
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
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- Diagnostic accuracy of nanopore sequencing for detecting Mycobacterium tuberculosis and drug-resistant strains: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Rapid drug resistance prediction in positiveEmerging microbes & infections · 2026Article
- DNA sequencing for microbial surveillance in cystic fibrosis airways: advances, challenges, and clinical translation.Clinical microbiology reviews · 2026Review
- Pilot evaluation of a compact targeted next-generation sequencing with minimum biocontainment for rapid diagnosis of drug-resistant tuberculosis.Microbiology spectrum · 2026Article
- Accuracy of nanopore-based targeted next-generation sequencing assay for detection ofJournal of clinical microbiology · 2026Article
- Genomic decoding of drug-resistant tuberculosis transmission in Thailand over three decades.Scientific reports · 2025Article
- Targeted sputum sequencing for rapid and broad drug resistance of Mycobacterium tuberculosis.Infection · 2025Article
- Clinical metagenomics analysis of bacterial and fungal microbiota from sputum of patients suspected with tuberculosis infection based on nanopore sequencing.Scientific reports · 2025Article
- Gene conversion and duplication contribute to genetic variation in an outbreak ofMicrobial genomics · 2025Article
- AsaruSim: a single-cell and spatial RNA-Seq Nanopore long-reads simulation workflow.Bioinformatics (Oxford, England) · 2025Article
- Study on the early diagnostic value of nanopore sequencing in alveolar lavage fluid smear-negative pulmonary tuberculosis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025Article
- Identification ofBio-protocol · 2025Article
- Potential of nanopore sequencing for tuberculosis diagnosis and drug resistance detection.BMC infectious diseases · 2024Article
- Collaborative learning in the digital age: empowering tuberculosis researchers through virtual training.Journal of microbiology & biology education · 2024Article
- Nanopore-targeted sequencing (NTS) for intracranial tuberculosis: a promising and reliable approach.Annals of clinical microbiology and antimicrobials · 2024Article
- Drug-resistant tuberculosis: a persistent global health concern.Nature reviews. Microbiology · 2024Review
- Bridging the gap between molecular and genomic epidemiology in tuberculosis: inferring MIRU-VNTR patterns from genomic data.Journal of clinical microbiology · 2024Article
- Diagnosing Tuberculosis: Traditional and New Methods Against an Old Enemy.Journal of clinical practice and research · 2024Review
- Diagnosis and treatment of refractory infectious diseases using nanopore sequencing technology: Three case reports.World journal of clinical cases · 2024Article
- Using cerebrospinal fluid nanopore sequencing assay to diagnose tuberculous meningitis: a retrospective cohort study in China.BMJ open · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The next-generation, short-read sequencing technologies that generate comprehensive, whole-genome data with single nucleotide resolution have already advanced tuberculosis diagnosis, treatment, surveillance, and source investigation. Their high costs, tedious and lengthy processes, and large equipment remain major hurdles for research use in high tuberculosis burden countries and implementation into routine care. The portable next-generation sequencing devices developed by Oxford Nanopore Technologies (ONT) are attractive alternatives due to their long-read sequence capability, compact low-cost hardware, and continued improvements in accuracy and throughput. A systematic review of the published literature demonstrated limited uptake of ONT sequencing in tuberculosis research and clinical care. Of the 12 eligible articles presenting ONT sequencing data on at least one Mycobacterium tuberculosis sample, four addressed software development for long-read ONT sequencing data with potential applications for M. tuberculosis. Only eight studies presented results of ONT sequencing of M. tuberculosis, of which five performed whole-genome and three did targeted sequencing. Based on these findings, we summarize the standard processes, reflect on the current limitations of ONT sequencing technology, and the research needed to overcome the main hurdles. The low capital cost, portable nature and continued improvement in the performance of ONT sequencing make it an attractive option for sequencing for research and clinical care, but limited data are available on its application in the tuberculosis field. Important research investment is needed to unleash the full potential of ONT sequencing for tuberculosis research and care.
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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 OpenQuestion graph.