Mycobacterium leprae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA505133 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8658070_1.fastq.gz | Fastqsanger.gz | |||
| SRR8658070_2.fastq.gz | Fastqsanger.gz | |||
| SRR8658080_1.fastq.gz | Fastqsanger.gz | |||
| SRR8658080_2.fastq.gz | Fastqsanger.gz | |||
| SRR8658090_1.fastq.gz | Fastqsanger.gz |
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Project description:8 leprosy patients including 4 multibacillary (MB) and 4 paucibacillary (PB), and 8 non-leprosy controls including 4 healthy house contacts (HHCs) and 4 endemic controls (ECs) were included in the study. The immune response differences between leprosy patients and controls were evaluated by analyzing the transcriptional profiles of PBMCs to M. leprae sonicate antigens by RNA-seq. The analyses revealed potential biomarkers (including mRNAs and lncRNAs) preferentially expressed in PBMCs in leprosy patients that may be useful for early diagnosis of leprosy.
2021-07-16 | GSE179987 | GEO
Project description:To this date, host transcriptome studies in leprosy have focused on Schwann cells, as well as mouse-footpad and skin biopsies. Despite macrophages being the most infected cell types in leprosy lesions, there is no genome-wide experiments with this model. Here, we aimed at identifying host macrophages transcriptional changes induced by live-Mycobacterium leprae infection for 48 hours.
2021-04-16 | GSE162416 | GEO
Project description:Mineralised dental plaque (calculus) has proven to be an excellent source of ancient biomolecules. In this study we present a Mycobacterium leprae genome (6.6-fold), the causative agent of leprosy, recovered via shotgun sequencing of 16th century human dental calculus from an individual from Trondheim, Norway. Moreover, ancient mycobacterial peptides were retrieved via mass spectrometry-based proteomics, further validating the presence of the pathogen. M. leprae can readily be detected in the oral cavity and associated mucosal membranes, which likely contributed to it being incorporated into this individual’s dental calculus. This individual showed some possible, but not definitive, evidence of skeletal lesions associated with early stage leprosy. This study is the first known example of successful multi-omics retrieval of M. leprae from archaeological dental calculus. Furthermore, we offer new insights into dental calculus as an alternative sample source to bones or teeth for detecting and molecularly characterizing M. leprae in individuals from the archaeological record.
2020-10-19 | PXD017836 | Pride
Project description:In this study, a comprehensive assessment of human mRNA was performed on leprosy skin lesions using DNA chip microarrays, which included the entire spectrum of the disease along with its reactional states. Sixty-six samples from leprotic lesions (10TT, 10BT, 10BB, 10BL, 4LL, 14R1, and 10R2) and nine skin biopsies from healthy individuals were used as controls (CC) (ages ranged from 06 to 83 years, 48 were male and 29 female). The evaluation identified differentially expressed mRNAs [Fold Change (FC)â¥2.0, p<0.05] in disease lesions versus healthy controls or between them. Some of these genes were validated by RT-PCR and/or immunohistochemistry. The sequence of events for this study followed the order below. Patients who were treated for leprosy were examined by leprologists and submitted to two biopsy procedures. One biopsy was processed for histopathological analysis, bacilloscopy and immunohistochemistry (IHC), the other was immediately stored in RNAlater® solution (Ambion) for further RNA extraction. Sixty-eight samples from leprotic lesions (10TT, 10BT, 10BB, 10BL, 4LL, 14R1, and 10R2) were selected for analysis. In addition, nine skin biopsies from healthy individuals were usedas controls (CC). Differentially expressed genes identified in the cDNA microarray assay were validated by quantitative RT-PCR and IHC.
2015-10-30 | E-GEOD-74481 | biostudies-arrayexpress
Project description:In this study, a comprehensive assessment of human miRNA was performed on leprosy skin lesions using DNA chip microarrays, which included the entire spectrum of the disease along with its reactional states. Sixty-eight samples from leprotic lesions (10TT, 10BT, 10BB, 10BL, 4LL, 14R1, and 10R2) and nine skin biopsies from healthy individuals were used as controls (CC) (ages ranged from 06 to 83 years, 48 were male and 29 female). The evaluation identified differentially expressed miRNAs [Fold Change (FC)≥2.0, p<0.05] in disease lesions versus healthy controls or between them. Some of these miRNAs were validated by RT-PCR.
2017-10-31 | GSE102314 | GEO
Project description:Mycobacterium leprae sequencing from recurrent leprosy cases
| PRJNA328423 | ENA
Project description:Background: Reactions in Leprosy are immune exacerbations that cause debilitating consequences like nerve damage and permanent deformities. Prediction of these reactional states using appropriate biomarkers would enable early treatment interventions to prevent nerve function impairment. The current study investigated whole transcriptomic expression profiles of Mycobacterium leprae (M. leprae) that differentiate leprosy cases in type 2 (Erythema Nodosum Leprosum) reactions with those without reactions in host skin tissue derived RNA. Methods: Post clinical examination, excisional skin biopsy specimens were collected from skin lesions of subjects with and without type 2 reaction. Total RNA was extracted following the Trizol protocol and bacterial RNA was enriched in the samples. A 2 x 400K gene expression array (whole genome tiling array) was designed with the probes having 60-mer oligonucleotides tiling every 10bp of the genome sequence of M. leprae (NC_011896.1). The array comprised 420288 features which include probes and Agilent controls. The quality of RNA was estimated using BioAnalyzer (Agilent Technologies) followed by labelling, reverse transcription, amplification and hybridization to the arrays. The hybridized slides were scanned on a G2600D scanner (Agilent Technologies). The data thus acquired is analysed using GeneSpring GX Version 12.1 software. Data was normalized and fold difference in expression was noted from 359,922 probes which include sense and antisense orientations of 179,961 probes. The differentially expressing M. leprae genomic regions between type 2 reactions and non reactional cases were noted. Results: Considering a statistical cut-off value of 0.6 for fold difference in expression between the test and the control samples, a set of 107 genes indicated statistically significant up-regulation with volcano plot p-values less than 0.05. Functional characterization revealed higher-expression of genes encoding transmembrane proteins (12), regulatory proteins (9), fatty acid biosynthesis (6), amino acid metabolism (13), nucleic acid metabolism (7), DNA replication and repair (7), Secretory proteins (2) Krebs Cycle (1), Glycolysis (1), Drug Efflux Protein (1),Stress Response Protein (1), Energy Metabolism (2), Pantothenate biosynthesis (1), Metalloproteins (3), Hydrolases (1) and Hypothetical Proteins (40). Additionally there are 157 genes that are down regulated in cases with reaction. Conclusion: Differential expression of genes in the human skin biopsy specimens among leprosy cases with type 2 reaction in contrast to those without reaction suggests the role of pathogen associated gene expression triggers with the aetiology of these reactions. As most of the transmembrane and cell wall proteins possess epitope and surface exposed domains, higher expression levels of genes encoding these proteins may have a possible role in enhancing host immune responses characteristic of type 2 reactions in leprosy.
2017-09-01 | GSE85948 | GEO
Project description:In this study, a comprehensive assessment of human mRNA was performed on leprosy skin lesions using DNA chip microarrays, which included the entire spectrum of the disease along with its reactional states. Sixty-six samples from leprotic lesions (10TT, 10BT, 10BB, 10BL, 4LL, 14R1, and 10R2) and nine skin biopsies from healthy individuals were used as controls (CC) (ages ranged from 06 to 83 years, 48 were male and 29 female). The evaluation identified differentially expressed mRNAs [Fold Change (FC)≥2.0, p<0.05] in disease lesions versus healthy controls or between them. Some of these genes were validated by RT-PCR and/or immunohistochemistry.
2015-10-30 | GSE74481 | GEO