Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

16 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Potential blood biomarkers for chronic traumatic encephalopathy: the multi-omics landscape of an observational cohort (serum exosomes RNA microarray data)

ABSTRACT: Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease associated with exposure to repetitive head impacts, which is susceptible in elderly people with declined mobility, athletes of full contact sports, military personnel and victims of domestic violence. It has been pathologically diagnosed in brain donors with a history of repetitive mild traumatic brain injury (rmTBI), but cannot be clinically diagnosed for a long time. By the continuous efforts by neuropathologists, neurologists and neuroscientists in recent 10 years, an expert consensus for the diagnostic framework of CTE was proposed in 2021 funded by the National Institute of Neurological Disorders and Stroke. The new consensus contributes to facilitating research in the field. However, it still needs to incorporate in-vivo biomarkers to further refine and validate the clinical diagnostic criteria. From this, a single-center, observational cohort study has been being conducted by Tianjin Medical University General Hospital since 2021. As a pilot study of this clinical trial, the present research recruited 4 pairs of gender- and age-matched rmTBI patients with healthy subjects. Their blood samples were collected for exosome isolation, and multi-omics screening to explore potential diagnostic biomarkers in blood and its exosomes.

ORGANISM(S): Homo sapiens

SUBMITTER: Xintong Ge

PROVIDER: E-MTAB-12331 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Potential blood biomarkers for chronic traumatic encephalopathy: the multi-omics landscape of an observational cohort (serum exosomes miRNA microarray data)

Project description:Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease associated with exposure to repetitive head impacts, which is susceptible in elderly people with declined mobility, athletes of full contact sports, military personnel and victims of domestic violence. It has been pathologically diagnosed in brain donors with a history of repetitive mild traumatic brain injury (rmTBI), but cannot be clinically diagnosed for a long time. By the continuous efforts by neuropathologists, neurologists and neuroscientists in recent 10 years, an expert consensus for the diagnostic framework of CTE was proposed in 2021 funded by the National Institute of Neurological Disorders and Stroke. The new consensus contributes to facilitating research in the field. However, it still needs to incorporate in-vivo biomarkers to further refine and validate the clinical diagnostic criteria. From this, a single-center, observational cohort study has been being conducted by Tianjin Medical University General Hospital since 2021. As a pilot study of this clinical trial, the present research recruited 4 pairs of gender- and age-matched rmTBI patients with healthy subjects. Their blood samples were collected for exosome isolation, and multi-omics screening to explore potential diagnostic biomarkers in blood and its exosomes.

2022-10-18 | E-MTAB-12329 | biostudies-arrayexpress

Potential blood biomarkers for chronic traumatic encephalopathy: the multi-omics landscape of an observational cohort (serum-free RNA microarray data)

2022-10-18 | E-MTAB-12330 | biostudies-arrayexpress

Drosophila S2R+ / TSC1 / TSC2 mutant phosphoproteomics

Project description:The tuberous sclerosis complex (TSC) family of tumor suppressors, TSC1 and TSC2, function together in an evolutionarily conserved protein complex that is a point of convergence for major cell signaling pathways that regulate mTOR complex 1 (mTORC1). Mutation or aberrant inhibition of the TSC complex is common in various human tumor syndromes and cancers. The discovery of novel therapeutic strategies to selectively target cells with functional loss of this complex is therefore of substantial clinical relevance to TSC and sporadic cancers. We developed a CRISPR-based method to generate homogenous mutant Drosophila cell lines. By combining TSC1 and TSC2 mutant cell lines with RNAi screens against all kinases and phosphatases, we identified synthetic interactions with TSC1 and TSC2. Knockdown of three candidate genes (mRNA-cap, Pitslre and CycT; orthologs of RNGTT, CDK11 and CCNT1 in humans) reduced the population growth rate of both Drosophila TSC1 and TSC2 mutant cells but not that of wild-type cells. Moreover, knockdown of all three genes displayed similar selective effects in mammalian TSC2-deficient cell lines, including human tumor-derived cells, illustrating the power of this cross species screening strategy to identify potential drug targets.

2018-10-24 | PXD002670 | Pride

YTHDF3 improves translation initiation of mRNAs with N6-methyladenosine methylation at 5’ untranslated region by facilitating eIF2AK2 recruitment in oxaliplatin-resistant colorectal cancer - RIP-seq dataset

Project description:Oxaliplatin as a first-line drug frequently causes the chemo-resistance on colorectal cancer (CRC). N6-methyladenosine (m6A) methylation has been largely acknowledged in multiple biological functions. However, the molecular mechanisms underlying the m6A methylation in modulating anticancer drug resistance in CRC are still obscure. In present study, RIP-seq was conducted to investigate the occupancy of N6-methyladenosine RNA binding protein 3 (YTHDF3) served as “readers” that can recognize m6A modification site in HCT116 cells with oxaliplatin resistance (HCT116R). Then, YTHDF3 was knockdown by siRNA in HCT116 cells with oxaliplatin resistance, and RIP-seq was further conducted to investigate m6A methylation of HCT116, HCT116R and HCT116R cells with YTHDF3 knockdown.

2022-02-04 | E-MTAB-11321 | biostudies-arrayexpress

Project description:Temporal lobe epilepsy (TLE) is the most common subtype of epilepsy in adults and is characterized by neuronal loss, gliosis, and sprouting mossy fibers in the hippocampus. But the mechanism underlying neuronal loss has not been fully elucidated. A new programmed cell death, cuproptosis, has recently been discovered; however, its role in TLE is not clear. To investigate the the features of 12 cuproptosis-related genes in TLEs and controls，six epileptic focus specimens were obtained from the hippocampus of patients diagnosed with intractable TLE according to the International League Against Epilepsy (ILAE) diagnostic criteria (Blümcke et al., 2013). Because the hippocampal specimens from age matched controls were sparse, we only collected two control hippocampi from autopsied individuals without a known history of neurologic or psychiatric disease, ensuring a 3:1 disease-to control match.

2023-06-20 | E-MTAB-13092 | biostudies-arrayexpress

RNA-Seq of synovial tissue biopsies from individuals with rheumatoid arthritis from the R4RA randomised clinical trial

Project description:Transcriptomic profiles of synovial biopsies of rheumatoid arthritis (RA) patients who were recruited into the R4RA randomised clinical trial. Patients were randomised to treatment with rituximab or tocilizumab. All patients fulfilled the 2010 ACR/EULAR classification criteria for RA and were eligible for treatment with rituximab therapy according to UK NICE guidelines, i.e. failing or intolerant to csDMARD therapy and at least one biologic therapy (excluding trial IMPs) were recruited when fulfilling the trial inclusion/exclusion criteria. For the full study protocol and baseline patient characteristics see Humby et al (2021) The Lancet 397(10271): 305-17. PMID: 33485455.

2022-04-26 | E-MTAB-11611 | biostudies-arrayexpress

microRNA profiling of serum microRNA from high grade serous ovarian carcinoma

Project description:High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecologic neoplasm, with five-year survival rate below 30%. Early disease detection is of utmost importance to improve the cure rate of HGSOC. Liquid biopsies are now becoming a new paradigm to develop novel biomarkers with diagnostic and prognostic purposes. The focus of this study was to detect the levels of circulating miRNAs in tissues and sera from patients with HGSOC and to evaluate their diagnostic value. To this end, an array-based discovery platform, followed by an innovative statistical approach of data normalization, was exploited, to identify miRNA species selectively expressed in serum of patients with HGSOC. Sera from 106 high grade serous ovarian carcinoma (HGSOC) and 24 healthy controls were used for profiling serum microRNA using a modified version of a commercially available microarray, with the aim of identifying differentially expressed microRNA between tumor patients and healthy controls.

2017-01-30 | E-MTAB-4667 | biostudies-arrayexpress

N6-Methyladenosine methylation profile in rat H9C2 cardiomyocytes under the hypoxic stress

Project description:Hypoxia as a crucial pathogenesis factor usually results in huge harmful effects on cardiac injury and dysfunction. In our previous study (PMID: 33294289), We observe a series of differential expressed genes between transcription and translation, which may be attributed to the hypoxia-specific binding affinity of Nuclear cap-binding subunit 3 (NCBP3) at 5’ un-translation region of target genes. But the underlying molecular mechanism of NCBP3 for gene translation modulation remains unclear. Here, we conducted RIP-seq of N6-Methyladenosine methylation in H9C2 cells with the conditions of normoxic, hypoxic and with additional NCBP3 knockdown.

2021-06-30 | E-MTAB-10682 | biostudies-arrayexpress

Integrated epigenome profiling of repressive histone modifications, DNA methylation and gene expression in normal and malignant urothelial cells [ChIP-Seq data]

Project description:We profiled two repressive histone modifications (H3K9m3 and H3K27m3) using ChIP-Seq in normal urothelial cells and cell lines representing non-invasive and invasive tumors. Two bladder cancer cell lines (RT112 and EJ/T24 from ATCC) and normal human urothelial (NHU) cells were treated according to standard ChIP-Seq protocols using antibodies against the histone modifications H3K9m3 and H3K27m3 (from Millipore). The sequencing reads were mapped against the human genome (GRCh37/hg19).

2011-08-03 | E-GEOD-31125 | biostudies-arrayexpress

serum exosomes of right-sided colon cancer promote metastasis via overexpression of SPARC and LRG1

Project description:Purpose: Over the past few years, the distinction between left- and right-sided colon cancer has been brought into focus. Right-sided tumor location was associated with an inferior overall survival and progression-free survival. We aimed to perform a detailed analysis of the diversity in exosomes between left- and right-sided colon cancer using quantitative proteomics. Experimental Design: We isolated exosomes from left- and right-sided colon cancer patients and healthy volunteers and treated colorectal cancer cell line with serum-derived exosomes. Then we performed quantitative proteomics analysis of the serum-derived exosomes and cell line treated with exosomes, respectively. Results: The expression profile of the serum exosome proteome in patients with right-sided colon cancer is different from patients with left-sided colon cancer. Serum-derived exosomes of right-sided colon cancer promote metastasis via up-regulation of extracellular matrix-related proteins, especially proteoglycans like SPARC and glycoprotein like LRG1. Exosomal SPARC and LRG1 were closely correlated with progression-free survival. Conclusions: Proteomic analysis identified different exosomal protein profiling between left- and right-sided colon cancer. Serum-derived exosomes of right-sided colon cancer promote metastasis via overexpression of SPARC and LRG1.

2019-11-25 | PXD012304 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data