Ontology highlight
ABSTRACT:
PROVIDER: PRJNA871806 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21159800_1.fastq.gz | Fastqsanger.gz | |||
| SRR21159800_2.fastq.gz | Fastqsanger.gz | |||
| SRR21159801_1.fastq.gz | Fastqsanger.gz | |||
| SRR21159801_2.fastq.gz | Fastqsanger.gz | |||
| SRR21159802_1.fastq.gz | Fastqsanger.gz |
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Project description:Despite more than a century fighting against tuberculosis, the World Health Organisation has estimated that around 1.7 million people died of tuberculosis in 2016 and over a quarter of the world’s population is infected. One of the critical hurdles for stopping tuberculosis transmission is early and effective diagnosis of patients with the active pulmonary disease. Although important innovations in molecular diagnosis have been recently developed (e.g. Xpert MTB/RIF, Cepheid Inc., USA), there are no suitable tests for population screening at point-of-care. The current tuberculosis diagnosis pipeline presents a highly variable performance and requires access to reference laboratory facilities. A non-sputum based rapid test with high specificity and sensitivity could save ~400,000 lives per year. Therefore, new biomarkers for diagnosis are urgently required for identifying patients with early symptoms and to expedite treatment. Variable sensitivity and specificity can be overcome using a combination of multiple biomarkers (5). Proteins, as ultimate biological effectors, are ideal candidates for diagnostic biomarkers; consequently, proteomic studies are a crucial platform for biomarker discovery in tuberculosis. This work aims to develop a multi-marker panel for tuberculosis diagnosis with high performance capable of differentiating tuberculosis patients from relevant controls. Quantitative Multidimensional Protein Identification Technology (qMudPIT) is applied for biomarker discovery identifying candidates for early diagnosis of tuberculosis. The multidimensional method optimised in this work led to the identification of 5022 plasma proteins and 3577 quantified proteins using iTRAQ labelling. Known and completely novel markers for active tuberculosis in plasma were identified including a peptide derived from Mycobacterium tuberculosis. Complementary statistical and bioinformatic analysis were applied to prioritise candidates for validation in one or two independent cohorts. The plasma proteomic profile here described represents a power strategy for biomarker discovery and the panel proposed has the potential to be translated to a rapid test and which might contribute to tuberculosis control.
2021-09-09 | PXD020212 | Pride
Project description:①Background:Tuberculosis is mainly a respiratory tract infection caused by mycobacterium tuberculosis and one of the leading causes of death worldwide. According to the Global Tuberculosis Report in 2021, About a quarter of the world's population is infected with Mycobacterium tuberculosis and China is the second highest burden of TB. Although TB diagnosis and prevention techniques have become more mature, the number of TB cases is still increasing, mainly due to: the prevalence of drug-resistant tuberculosis bacteria, tuberculosis and HIV co-infection, long incubation time of mycobacterium tuberculosis difficult to early diagnosis and so on. Therefore, it is of great significance to study the pathogenesis of mycobacterium tuberculosis infection.②Method: THP-1 cells were treated with 50ng/ml PMA for 24 hours, so that THP-1 cell can be induced into macrophages. After that THP-1 macrophages were infected with mycobacterium tuberculosis H37Rv(MOI=1), which were collected and applied to RNA-sequencing. The constructed sequencing library was sequenced using an Illumina Novaseq 6000 system.
2022-08-31 | GSE203261 | GEO
Project description:This series includes 278 microarrays used to detect respiratory viruses in a set of nasopharyngeal lavage specimens from children with respiratory tract infections Objective: To assess the utility of a pan-viral DNA microarray platform (Virochip) in the detection of viruses associated with pediatric respiratory tract infections. Study Design: The Virochip was compared to conventional clinical direct fluorescent antibody (DFA) and PCR-based testing for the detection of respiratory viruses in 278 consecutive nasopharyngeal aspirate samples from 222 children. Results: The Virochip was superior in performance to DFA, showing a 19% increase in the detection of 7 respiratory viruses included in standard DFA panels, and was similar to virus-specific PCR (sensitivity 85-90%, specificity 99%, PPV 94-96%, NPV 97-98%) in the detection of respiratory syncytial virus, influenza A, and rhino-/enteroviruses. The Virochip also detected viruses not routinely tested for or missed by DFA and PCR, as well as double infections and infections in critically ill patients that DFA failed to detect. Conclusions: Given its favorable sensitivity and specificity profile and greatly expanded spectrum of detection, microarray-based viral testing holds promise for clinical diagnosis of pediatric respiratory tract infections. Keywords: viral detection The series includes 278 clinical specimens
2010-05-26 | E-GEOD-10294 | biostudies-arrayexpress
Project description:This series includes 278 microarrays used to detect respiratory viruses in a set of nasopharyngeal lavage specimens from children with respiratory tract infections Objective: To assess the utility of a pan-viral DNA microarray platform (Virochip) in the detection of viruses associated with pediatric respiratory tract infections. Study Design: The Virochip was compared to conventional clinical direct fluorescent antibody (DFA) and PCR-based testing for the detection of respiratory viruses in 278 consecutive nasopharyngeal aspirate samples from 222 children. Results: The Virochip was superior in performance to DFA, showing a 19% increase in the detection of 7 respiratory viruses included in standard DFA panels, and was similar to virus-specific PCR (sensitivity 85-90%, specificity 99%, PPV 94-96%, NPV 97-98%) in the detection of respiratory syncytial virus, influenza A, and rhino-/enteroviruses. The Virochip also detected viruses not routinely tested for or missed by DFA and PCR, as well as double infections and infections in critically ill patients that DFA failed to detect. Conclusions: Given its favorable sensitivity and specificity profile and greatly expanded spectrum of detection, microarray-based viral testing holds promise for clinical diagnosis of pediatric respiratory tract infections. Keywords: viral detection
2008-07-09 | GSE10294 | GEO
Project description:Over 400 million people worldwide are living with a rare disease, with genetic variants determining 80% of cases. Next Generation Sequencing identifies potential disease causative genetic variants, however many of these are classified as variants of uncertain significance (VUS). Each VUS requires functional validation as pathogenic or benign in disease pathology in specialist laboratories creating major delays in patient diagnosis. In this study we test a rapid genetic variant assessment pipeline using an EHMT1 (Euchromatin histone methyltransferase 1; EHMT1 p.Gln1144Ter) genetic variant that is pathogenic for Kleefstra Syndrome. Precise CRISPR homology directed (HDR) gene editing introduced the single nucleotide genetic variant in iPS cells and EHMT1_SNV cell clones were rapidly identified with amplicon sequencing. Induction of neural differentiation and RNA sequencing determined differences in differentiation at the gene and transcription factor level. The applied CRISPR HDR methodology was rapid and reliable for the introduction of SNVs in iPSCs for subsequent neuronal cell differentiation. Key features of Kleefstra Syndrome were identified, with involvement of key transcription factors REST and SP1 in disease mechanisms. This study indicates that precise iPSC gene editing and changes in disease modelling pathways can contribute to disease diagnosis and understanding of mechanisms.
2021-06-23 | GSE178646 | GEO
Project description:The pathogenesis of liver damage induced by anti-tuberculosis drugs is not fully understood, andcurrently, there is no clinically useful biomarker for early diagnosis and treatment.By comparing the differences in the expression of global gene transcripts in the serum of patients with and without anti-tuberculosis drugs induced liver injury, dysregulation genes not only provides a basis for studying pathogenesis, but also provides important information to find new targets for diagnosis and treatment of disease. We used microarrays to detail the global programme of gene expression in sera underlying anti-tuberculosis drug-induced liver injury and identified distinct classes of transcript during this process.
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Project description:Flongle ONT sequencing for rapid clinical diagnosis of lower respiratory infection
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Project description:Efforts to eradicate TB are largely threatened by drug-resistant tuberculosis, particularly, multidrug-resistant tuberculosis (MDR-TB). It is imperative to find one or more specific biomarkers for diagnosing MDR-TB earlier and declining the incidence. Growing evidences have showed lncRNAs are widely expressed and take part in the genesis and development of many diseases, including tuberculosis. Therefore, to screen the differential lncRNAs among MDR-TB, drug-sensitive tuberculosis(DS-TB) and healthy controls(HCs) is a good strategy to acquire potential biomarkers for MDR-TB diagnosis and partly describe the mechanism of MDR-TB. Here, the present study aimed to investigate the differential expression profile of lncRNAs in serum among patients with MDR-TB ,DS-TB and HCs using lncRNA microarray
2021-09-10 | GSE183787 | GEO
Project description:Background Accurate assessment of treatment efficacy would facilitate clinical trials of new anti-tuberculosis drugs. TB patients exhibit altered peripheral immunity which reverts during successful treatment. We hypothesised that these changes could be observed in whole blood transcriptome profiles. Methods Ex vivo blood samples from 27 pulmonary TB patients were assayed at diagnosis and during conventional treatment. RNA was processed and hybridised to Affymetrix GeneChips, to determine expression of over 47,000 transcripts. Findings There were significant changes in expression of over 4,000 genes during treatment. Rapid, large scale changes were detected, with down-regulated expression of ~1,000 genes within the first week, including inflammatory markers such as the complement components C1q and C2. This was followed by slower changes in expression of different networks of genes, including a later increase in expression of B cell markers, transcription factors and signalling molecules. Interpretation The expression of many genes is drastically altered during TB disease, with components of the humoral immune response being markedly affected. The treatment-induced restoration reflects the simultaneous suppression and activation of different immune responses in TB. The rapid initial down-regulation of expression of inflammatory mediators coincides with rapid killing of actively dividing bacilli, whereas slower delayed changes occur as drugs act on dormant bacilli and as lung pathology resolves. Measurement of biosignatures during clinical trials of new drugs could be useful predictors of rapid bactericidal or sterilizing drug activity. Ex vivo blood samples analysed for 27 first episode pulmonary TB patients, at diagnosis and after 1, 2, 4 and 26 weeks of treatment.
2012-08-09 | E-GEOD-31348 | biostudies-arrayexpress