Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Proteomic analysis of microbial extracellular polymers

ABSTRACT: Proteomic analysis of microbial extracellular polymers

ORGANISM(S): Methanosaeta Sp. Ampb-zg Desulfovibrio Sp. Sr3

SUBMITTER: Xing Fan

PROVIDER: PXD060571 | iProX | Fri Feb 07 00:00:00 GMT 2025

REPOSITORIES: iProX

ACCESS DATA

Json Xml

Similar Datasets

Time-series proteomic analysis of body fluid extracellular vesicles in amyotrophic lateral sclerosis

Project description:Time-series proteomic analysis of body fluid extracellular vesicles in amyotrophic lateral sclerosis

| PRJNA1015658 | ENA

Cerebrospinal fluid-derived extracellular vesicles: a proteomic and transcriptomics comparative analysis of enrichment protocols

Project description:Cerebrospinal fluid-derived extracellular vesicles: a proteomic and transcriptomics comparative analysis of enrichment protocols

| PRJNA1281578 | ENA

Secretome of Bone Marrow Stroma-Derived Neural Progenitor Cells: Proteomic Analysis

Project description:We found the bone marrow stromal-derived neural progenitor cells secretome have the neural protection effect. Proteomic analysis was performed nn order to analyze the protection factor in the secretome. Keywords: Neural protection, secretome

2008-10-18 | GSE13242 | GEO

Proteomic signatures of extracellular vesicles secreted by non-mineralizing and mineralizing human osteoblasts and stimulation of tumor cell growth

Project description:Beyond forming bone, osteoblasts play pivotal roles in various biological processes, including hematopoiesis and bone metastasis. Extracellular vesicles (EVs) have recently been implicated in intercellular communication via transfer of proteins and nucleic acids between cells. Here, we focused on the proteomic characterization of non-mineralizing (NMOBs) and mineralizing (MOBs) human osteoblast (SV-HFOs) EVs and investigated their effect on human prostate cancer (PC3) cells by microscopic, proteomic and gene expression analyses. Proteomic analysis showed that 97% of the proteins were shared among NMOB and MOB EVs, and 30% were novel osteoblast-specific EV proteins. Label-free quantification demonstrated mineralization stage-dependent five-fold enrichment of 59 and 451 EV proteins in NMOBs and MOBs, respectively. Interestingly, bioinformatic analyses of the osteoblast EV proteomes and EV-regulated prostate cancer gene expression profiles showed that they converged on pathways involved in cell survival and growth. This was verified by in vitro proliferation assays where osteoblast EV uptake led to two-fold increase in PC3 cell growth compared to cell-free culture medium-derived vesicle controls. Our findings elucidate the mineralization stage-specific protein content of osteoblast-secreted EVs, show a novel way by which osteoblasts communicate with prostate cancer, and open up innovative avenues for therapeutic intervention. PC3 cells were treated with extracellular vesicles from non-mineralizing and mineralizing SV-HFOs for three different incubation times (4hrs, 24hrs, 48hr)

2014-10-28 | E-GEOD-56172 | biostudies-arrayexpress

Study of microbial species in extracellular vesicles of sclerosis multiple patients

Project description:Extracellular vesicles (EVs) are released by most cell types and are implicated in several biological and pathological processes, including multiple sclerosis (MS). In this study we performed RNA sequencing to analyze the diversity of microorganisms by assignment of reads using different taxa profilers. To diminish the risk of false positive biases derived from sample handling, we performed a similar analysis on EVs derived from known cultured bacterial species, as well as artificially-generated samples. Overall, we detect a range of microbial species in MS and healthy control (HC) samples, that are not detected in control samples, as well as species with differential abundance between MS and HC samples. These results reveal the relevance of putative communication of microbial species using EVs as a communication vector.

2024-05-07 | GSE255317 | GEO

Clinical Proteomic Tumor Analysis Consortium (CPTAC)

Project description:Clinical Proteomic Tumor Analysis Consortium (CPTAC)

| PRJNA371289 | ENA

Proteomic

Project description:Proteomic

2022-12-31 | OEX00021177 | NODE

Deep proteomic analysis of murine erythroid differentiation

Project description:Deep proteomic analysis of murine erythroid differentiation

| PRJNA492908 | ENA

Microbial Product Cocktails for Personalized Cancer Immunotherapy

Project description:Microbial product cocktails induce a cytokine secretion profile in bladder cancer.