Similar Datasets
Project description:Identifying new pronostic markers of IBD
| PRJNA728646 | ENA
Project description:Anorexia nervosa (AN) is a psychiatric disorder with an estimated heritability of around 70%. Although the largest genome-wide association study meta-analysis on AN identified independent loci-conferring risk to the disorder, the molecular mechanisms underlying the genetic basis of AN remains to be elucidated. To explore AN, we ran a transcriptome profiling in peripheral blood mononuclear cells of 15 AN subjects and 15 healthy controls. We validated our mean results in a mouse model of chronic food restriction mimicking several aspects of AN. Through this exploratory study we identified 673 significantly differentially expressed genes in AN. Among these genes, we identified the Vanin-1 (Vnn1) gene that appears to play a major role in the regulation of multiple metabolic pathways. We confirmed an underexpression of Vnn1, especially in the liver, in a mouse model of chronic food restriction. These results indicate that quantitative food restriction affects Vnn1 expression, suggesting that this gene may contribute to the anorexic phenotype in the chronic food restriction mouse model as well as in patients affected by AN. We believe that this report highlights promising candidate genes and gene pathways for AN and reveals Vnn1 as a biomarker that may be used as molecular targets to predict and/or to understand AN.
2023-10-31 | GSE245978 | GEO
Project description:To determine, using HUVEC in a 3D collagen model, gene expression in invading endothelial compared to non-invading at the single-cell level.
2024-03-01 | GSE254777 | GEO
Project description:VNN1 : a new biomarker of anorexia nervosa
| PRJNA1030915 | ENA
Project description:Colorectal cancers account for 783,000 new cases and cause 437,000 deaths per year across the world. Diagnosis in the early stages improves survival rates. Up to now, these cancers are mostly diagnosed only at later stages of the disease’s course through histoimmune staining and molecular biology processes on the tissues biopsied from the gastrointestinal system under invasive diagnostic procedures of colonoscopy.
Oral fluid presents a large protein complexity and has been recently used as a diagnostic biofluid for oral, as well as systematic diseases. Using oral fluid as a bio-marker for the colorectal cancer can be advantageous as it contains gastrointestinal fluids, in addition to bacteria and bacteria lysate, which can also serve as a bio-markers’ source for colorectal cancers. Proteomic technologies provide the tools needed to discover and identify disease-associated biomarkers.
The aim of the present study is to identify salivary bio-markers in patients suffering from colorectal cancers.
| 2131156 | ecrin-mdr-crc
Project description:To increase our understanding of the genes involved in flowering in citrus, we performed genome resequencing of an early flowering trifoliate orange mutant (Poncirus trifoliata L. Raf.) and its wild type. At the genome level, 3,932,628 single nucleotide polymorphisms (SNPs), 1,293,383 insertion/deletion polymorphisms (InDels), and 52,135 structural variations (SVs) were identified between the mutant and its wild type based on the citrus reference genome. Based on integrative analysis of resequencing and transcriptome analysis, 233,998 SNPs and 75,836 InDels were also identified between the mutant and its wild type at the transcriptional level. Also, 272 citrus homologous flowering-time transcripts containing genetic variation were also identified. GO and KEGG annotation revealed that the transcripts containing the mutant and the wild-type-specific InDel were involved in diverse biological processes and molecular function. Among these transcripts, there were 131 transcripts that were expressed differently in the two genotypes. When 268 selected InDels were tested on 32 genotypes of the three generas of Rutaceae for the genetic diversity assessment, these InDel-based markers showed high transferability. This work provides important information that will allow a better understanding of the citrus genome and that will be helpful for dissecting the genetic basis of important traits in citrus.
2016-05-05 | GSE78810 | GEO
Project description:Identifying new markers of angiogenic sprouting using transcriptomics: New role for RND3
| PRJNA1071678 | ENA
Project description:MicroRNAs (miRNAs) are small non-coding RNAs, 18-23 nucleotides long, which act as post-transcriptional regulators of gene expression. miRNAs are strongly implicated in the pathogenesis of many common diseases, including IBDs. This review aims to outline the history, biogenesis and regulation of miRNAs. The role of miRNAs in the development and regulation of the innate and adaptive immune system is discussed, with a particular focus on mechanisms pertinent to IBD and the potential translational applications.
| S-EPMC4345829 | biostudies-literature
Project description:We compared the transcriptional signatures of the colonic mucosa from control mice (WT) versus mice deficient for the epithelial pantetheinase Vnn1 (Vnn1KO) or overexpressing Vnn1 specifically in intestinal epithelial cells (VIVA transgenic mice), during the development of DSS-induced colitis.
2022-11-24 | GSE174166 | GEO
Project description:Proteogenomics, the combination of proteomics, genomics and transcriptomics, has considerably improved genome annotation in under-studied phylogenetic groups, where homology information is missing. Yet, it can also be advantageous when re-investigating well-annotated genomes. Here, we apply an advanced proteogenomics approach, combining standard proteogenomics with peptide de novo sequencing, to refine annotation of the well-studied model fungus Sordaria macrospora. We investigated samples from different developmental and physiological conditions, resulting in detection of 104 hidden proteins and annotation changes in 575 genes, including 389 splice site refinements. Significantly, our approach provides peptide-level evidence for 113 single amino acid variations and 15 C-terminal protein elongations originating from A-to-I RNA editing, a phenomenon recently detected in fungi. Co-expression and phylostratigraphic analysis of the refined proteome suggests new functions in evolutionary young genes correlated with distinct developmental stages. In conclusion, our advanced proteogenomics approach is highly supportive to promote functional studies of model systems. Proteogenomics, the combination of proteomics, genomics and transcriptomics, has considerably improved genome annotation in under-studied phylogenetic groups, where homology information is missing. Yet, it can also be advantageous when re-investigating well-annotated genomes. Here, we apply an advanced proteogenomics approach, combining standard proteogenomics with peptide de novo sequencing, to refine annotation of the well-studied model fungus Sordaria macrospora. We investigated samples from different developmental and physiological conditions, resulting in detection of 104 hidden proteins and annotation changes in 575 genes, including 389 splice site refinements. Significantly, our approach provides peptide-level evidence for 113 single amino acid variations and 15 C-terminal protein elongations originating from A-to-I RNA editing, a phenomenon recently detected in fungi. Co-expression and phylostratigraphic analysis of the refined proteome suggests new functions in evolutionary young genes correlated with distinct developmental stages. In conclusion, our advanced proteogenomics approach is highly supportive to promote functional studies of model systems.
2019-09-25 | PXD014240 | Pride