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Tissue-urine-stool matched shotgun from BCa

ABSTRACT: Matched shotgun sequencing data from bladder cancer patients

PROVIDER: PRJEB73977 | ENA |

REPOSITORIES: ENA

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Project description:Matched shotgun sequencing data from bladder cancer patients

| PRJNA1093257 | ENA

Single cell RNA sequencing (scRNAseq) of urine-derived cells, peripheral blood mononuclear (PBMC), and tumor cells from bladder cancer patients.

Project description:As no one previously examined urine-derived cells from bladder cancer patients, we performed scRNAseq to profile the diversity of these cells and their transcriptional profiles. We used scRNAseq to compare the profiles of urine-derived cells to matched tumor cells and PBMC from bladder cancer patients.

2024-05-17 | GSE267718 | GEO

Shotgun sequencing of infant stool samples

Project description:Shotgun metagenomics of infant formula study

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Unravelling the proteomic landscape of extracellular vesicles in prostate cancer by density-based fractionation of urine

Project description:Mass spectrometry-based proteomic analysis of urinary EV (uEV) in men with benign and malignant prostate disease, profiling the proteome of EV separated from prostate tumor interstitial fluid and matched uEV, and a comparative proteomic analysis with uEV from patients with bladder and renal cancer.

2020-04-09 | PXD015289 | Pride

Expression data from glioblastoma tissue and matched adjacent normal tissue

Project description:Glioblastoma (GBM) is the most common and lethal primary malignancy of the central nervous system in adult. In order to improve the diagnosis, prevention and treatment of GBM, the details of molecular mechanisms underlying the tumorigenesis and development needs to be clarified. This is a nalysis of glioblastoma tissues and matched adjacent normal brain tissues from 3 patients. Results provide insight into molecular mechanisms underlying the non-coding and coding genes interactions in glioblastoma. 3 human GBM tissues and the matched adjacent normal brain tissues were analyzed using microarray. The aberrant lncRNAs, miRNAs and mRNAs between the 2 groups were detected.

2015-02-04 | GSE65626 | GEO

Genomic shotgun sequences of Trypanosoma brucei brucei from Uganda

Project description:Genomic shotgun sequences of Trypanosoma brucei brucei from Uganda with minimal laboratory passage.

2020-11-22 | E-MTAB-9759 | biostudies-arrayexpress

Spatiotemporal proteomics of hormone treated mice (urine across time, prostate tissue)

Project description:Benign prostatic hyperplasia and related lower urinary tract symptoms remain common, costly, and impactful issues for aging males. Etiology and pathogenesis are multifactorial and include steroid hormone changes and inflammation. Noninvasive markers could one day inform personalized medicine, but interindividual variation and lack of healthy age-matched controls hamper research. Experimental models are appealing for insight into disease mechanisms. Here, we present a spatiotemporal proteomics study in a mouse model of hormone-induced urinary dysfunction. Urine samples were collected noninvasively across time: before, during, and after disease onset. Microcomputed tomography analysis implicated the prostate as a spatially relevant contributor to bladder outlet obstruction. Prostates were collected after disease onset and compared with control mice. Notable changes in urine include proteins representing oxidative stress defense and acute phase inflammatory response processes. In the prostate, hormone treatment led to perturbations related to oxidative stress response and H2O2 metabolism. Several protein changes coincided in both urine and prostate tissue, including Ctsb, Qsox1, and Gpx3. This study supports the concept of noninvasive urinary biomarkers for prostate disease diagnostics. Oxidative stress and acute phase inflammatory processes were identified as key consequences of hormone-induced bladder outlet obstruction. Future research into antioxidants and anti-inflammatories in prostate disease appears promising.

2021-09-08 | PXD014416 | Pride

HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): from reads to pathogens. A specific and exhaustive pipeline for handling metagenomic shotgun sequencing data.

Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.

2021-07-26 | E-MTAB-9189 | biostudies-arrayexpress

HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): from reads to pathogens. A specific and exhaustive pipeline for handling metagenomic shotgun sequencing data.

2021-07-26 | E-MTAB-9191 | biostudies-arrayexpress

Discordant molecular subtype classification of muscle-invasive bladder cancer and matched lymph-node metastases occurs preferentially in the Basal/Squamous-like subtype.

Project description:By combining molecular pathology, mRNA profiling, and exome-sequencing we describe muscle-invasive bladder tumors and matched lymph-node metastases.

2018-08-20 | GSE101723 | GEO

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