ArticlemBio2018
BacCapSeq: a Platform for Diagnosis and Characterization of Bacterial Infections.
Article in mBio, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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.
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.
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Who cites it
35 citing papers in PubMed.
- Comparative evaluation of probe-capture and conventional metagenomic sequencing across multiple clinical sample types, with analysis of paired bronchoalveolar lavage fluid and blood samples.Microbiology spectrum · 2026Article
- Adaptation of custom capture sequencing panels to the Oxford Nanopore MinION platform.Molecular biology reports · 2026Article
- Different DNA input amounts and library preparation kits yield comparable resistome characterization using target-enriched metagenomic sequencing.Frontiers in microbiology · 2026Article
- BCS2.0: a capture sequencing platform for rapid differential diagnosis of bacterial infections and antimicrobial resistance.Frontiers in microbiology · 2026Article
- teamNGS Balances Sensitivity for Viruses with Comprehensive Microbial Detection in Clinical Specimens.Microorganisms · 2025Article
- Clinical application and impact of metagenomic next-generation sequencing for the diagnosis of infectious diseases in severely immunocompromised pediatric patients.BMC pediatrics · 2025Article
- Clinical implement of Probe-Capture Metagenomics in sepsis patients: A multicentre and prospective study.Clinical and translational medicine · 2025Article
- Dual RNA-seq reveals the complement protein C3-mediated host-pathogen interaction in the brain abscess caused bymSystems · 2025Article
- Integrating sequencing methods with machine learning for antimicrobial susceptibility testing in pediatric infections: current advances and future insights.Frontiers in microbiology · 2025Review
- Enriching the future of public health microbiology with hybridization bait capture.Clinical microbiology reviews · 2024Review
- Unravelling Antimicrobial Resistance inVeterinary sciences · 2024Review
- Hybrid-Capture Target Enrichment in Human Pathogens: Identification, Evolution, Biosurveillance, and Genomic Epidemiology.Pathogens (Basel, Switzerland) · 2024Review
- Pathogen Discovery in the Post-COVID Era.Pathogens (Basel, Switzerland) · 2024Review
- Using Targeted Next-Generation Sequencing to Diagnose Severe Pneumonia Due to Tropheryma Whipplei and Human Metapneumovirus: A Case Report and Literature Review.Infection and drug resistance · 2024Article
- Tick-Borne Co-Infections: Challenges in Molecular and Serologic Diagnoses.Pathogens (Basel, Switzerland) · 2023Review
- Clinical features and outcome of eight patients with Chlamydia psittaci pneumonia diagnosed by targeted next generation sequencing.The clinical respiratory journal · 2023Article
- Towards a Rapid-Turnaround Low-Depth Unbiased Metagenomics Sequencing Workflow on the Illumina Platforms.Bioengineering (Basel, Switzerland) · 2023Article
- Exploiting a targeted resistome sequencing approach in assessing antimicrobial resistance in retail foods.Environmental microbiome · 2023Article
- Article
- Role of circulating biomarkers in spinal muscular atrophy: insights from a new treatment era.Frontiers in neurology · 2023Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
We report a platform that increases the sensitivity of high-throughput sequencing for detection and characterization of bacteria, virulence determinants, and antimicrobial resistance (AMR) genes. The system uses a probe set comprised of 4.2 million oligonucleotides based on the Pathosystems Resource Integration Center (PATRIC) database, the Comprehensive Antibiotic Resistance Database (CARD), and the Virulence Factor Database (VFDB), representing 307 bacterial species that include all known human-pathogenic species, known antimicrobial resistance genes, and known virulence factors, respectively. The use of bacterial capture sequencing (BacCapSeq) resulted in an up to 1,000-fold increase in bacterial reads from blood samples and lowered the limit of detection by 1 to 2 orders of magnitude compared to conventional unbiased high-throughput sequencing, down to a level comparable to that of agent-specific real-time PCR with as few as 5 million total reads generated per sample. It detected not only the presence of AMR genes but also biomarkers for AMR that included both constitutive and differentially expressed transcripts.
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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.