Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

12 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Fuzzy Logic Selection as a New Reliable Tool to Identify Gene Signatures in Breast Cancer - the INNODIAG Study

ABSTRACT: Based on fuzzy logic selection and classification algorithms, our selection method measures the contribution of each gene for each of two pre-defined classes in order to find the best discrimination. This algorithm extracts and ranks the most pertinent markers, since it is based on feature weighting according to optimal error rate, sensitivity and specificity. We applied the fuzzy logic selection on four breast cancer microarray databases to obtain new gene signatures based on histological grade. To validate these gene signatures, we designed probes for the selected genes on Nimblegen custom microarrays and tested them on a series of 151 consecutive invasive breast carcinomas displaying clinicopathological features similar to those observed in routine practice. 151 frozen breast cancer tumors from the tumor bank of the Claudius Regaud Institute (ICR Toulouse, France) were selected. This cohort consisted of consecutive invasive breast carcinoma patients treated at Claudius Regaud Institute between 2009 and 2011. All patients included in this cohort signed an informed consent. Clinico-pathological characteristics of the series were similar to those observed in routine clinical practice (i.e. majority of pre-menopausal patients presenting with T1c, node negative, ER+ invasive ductal carcinoma of intermediate grade).

ORGANISM(S): Homo sapiens

SUBMITTER: Delphine Labourdette

PROVIDER: E-GEOD-53958 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Fuzzy Logic Selection as a New Reliable Tool to Identify Gene Signatures in Breast Cancer - the INNODIAG Study

Project description:Based on fuzzy logic selection and classification algorithms, our selection method measures the contribution of each gene for each of two pre-defined classes in order to find the best discrimination. This algorithm extracts and ranks the most pertinent markers, since it is based on feature weighting according to optimal error rate, sensitivity and specificity. We applied the fuzzy logic selection on four breast cancer microarray databases to obtain new gene signatures based on histological grade. To validate these gene signatures, we designed probes for the selected genes on Nimblegen custom microarrays and tested them on a series of 151 consecutive invasive breast carcinomas displaying clinicopathological features similar to those observed in routine practice.

2014-01-12 | GSE53958 | GEO

RNAseq of roots and leaves of tender wheat (Triticum aestivum cv chinese Spring) during interactions with mycorhizal fungi (Funneliformis mossae) with and without a pathogen attack by Xanthomonas translucens

Project description:We monitored by RNAseq the transcriptomic response of roots and leaves of Triticum aestivum cv chinese Spring during a long term interaction with Funneliformis mossae (2 months) with or without a pathogen infection by infiltration of Xanthomonas translucens CFBP 2054. The control condition of roots and leaves wheat without mycorhizal fungi is in E-MTAB-5891 (material produced simultaneously and treated at the same time).

2018-06-01 | E-MTAB-5898 | biostudies-arrayexpress

Colonic proteome signature in immunoproteasome-deficient stressed mice and its relevance for irritable bowel syndrome

Project description:A role for immunoproteasome in the regulation of intestinal permeability has been previously suggested both in mice during water avoidance stress (WAS) and in patients with irritable bowel syndrome (IBS). We thus aimed (i) to evaluate the colonic proteome in wild-type (wt) and β2i immunoproteasome subunit knock-out (β2i-/-) mice during WAS and (ii) to investigate the colonic expression of 49 ubiquitinated-proteins in diarrhea-predominant IBS patients (IBS-D).

2018-12-05 | PXD011199 | Pride

Transcription profiling of human formalin-fixed paraffin-embedded breast cancer core biopsies

Project description:The routine workflow for invasive cancer diagnostics is based on biopsy processing by formalin fixation and subsequent paraffin embedding. Formalin-fixed paraffin-embedded (FFPE) tissue samples are easy to handle, stable and particularly suitable for morphologic evaluation, immunohistochemistry and in situ hybridization. However, it has become a paradigm that these samples cannot be used for genome-wide expression analysis with microarrays. To oppose this view, we present a pilot microarray study using FFPE core needle biopsies from breast cancers as RNA source. We found that microarray probes interrogating sequences near the poly-A-tail of the transcribed genes were well suitable to measure RNA levels in FFPE core needle biopsies. For the ER and the HER2 gene, we observed strong correlations between RNA levels measured in these probe sets and protein expression determined by immunohistochemistry (p = 0.000003 and p = 0.0022). Further, we have identified a signature of 364 genes that correlated with ER protein status and a signature of 528 genes that correlated with HER2 protein status. Many of these genes (ER: 60%) could be confirmed by analysis of an independent publicly available data set. Finally, a hierarchical clustering of the biopsies with respect to three recently reported gene expression grade signatures resulted in widely stable low and high expression grade clusters that correlated with the pathological tumor grade. These findings support the notion that clinically relevant information can be gained from microarray based gene expression profiling of FFPE cancer biopsies. This opens new opportunities for the integration of gene expression analysis into the workflow of invasive cancer diagnostics as well as translational research in the setting of clinical studies. Experiment Overall Design: RNA from 24 breast cancer biopsies extracted with kit A, RNA from 6 breast cancer biopsies extracted with kit B

2008-10-20 | E-GEOD-11001 | biostudies-arrayexpress

Transcriptionnal analysis of a Photorhabdus luminescens TT01 variant, named VAR*, which is a colonial and phenotypic variant displaying delayed pathogenicity in the insect, Spodoptera littoralis.

Project description:Photorhabdus luminescens lives in a mutualistic association with entomopathogenic nematodes and is pathogenic for insects. Variants of Photorhabdus frequently arise. VAR* is a colonial and phenotypic variant displaying delayed pathogenicity in the insect, Spodoptera littoralis. In this study, we evaluated the role of transcriptomic modulation in determining the phenotypic variation and delayed pathogenicity of VAR* with respect to the corresponding wild-type form, TT01alpha. A P. luminescens microarray was used to determine changes in transcript profiles in the exponential and stationary phase growth phase of VAR* and TT01alpha grown in LB broth. Direct transcriptomic comparisons were carried out between VAR* and TT01alpha grown in LB broth. RNA were extracted from bacterial cells in the exponential growth phase (6-hour-old culture, 5 x 107 cfu/ml) and stationary phase (45-hour-old culture, 5 x 108 cfu/ml). Each microarray comparison (TT01alpha versus VAR* growth in exponential growth or stationary phase) included six slides, with three dye-swapping replicates. Each microarray comparison is done twice with two independant biological extractions (repbiol1 or 2).

2010-10-13 | E-GEOD-24627 | biostudies-arrayexpress

Transcription profiling by array of human clonal primary fibroblasts from patients with CDKL5 mutations

Project description:Mutations in the human CDKL5 gene have been shown to cause infantile spasms, as well as Rett syndrome-like phenotype. Because CDKL5 is subjected to X chromosome inactivation (XCI), individual cells from CDKL5 mutation girls either express the wild-type or mutant allele, likely resulting in different consequences at both the cellular and molecular levels. To identify these consequences, we carried out gene expression profiling on clonal populations derived from primary cultures of three patientsM-^R fibroblasts expressing either allele. A total of 16 up-regulated and 20 down-regulated genes were identified. The differentially expressed gene products, mostly involved in differentiation and oxidative stress may be related to a mechanism underlying mental retardation and epilepsy. Among these differentially expressed proteins, the apoptosis signal-regulated kinase MAP3K5 expression was found to be altered in non-neuronal, but also in neuronal CDKL5 deficient cells. Due to the fact that MAP3K5 activates MAP kinase pathway, which mediates signals leading to both differentiation and survival in neuronal cells, we suggest that a CDKL5 deficit may induce changes in synaptic plasticity in patientM-^Rs brain.

2011-07-23 | E-MEXP-2833 | biostudies-arrayexpress

Machine learning-based detection of immune-mediated diseases from genome-wide cell-free DNA sequencing datasets

Project description:The early detection of tissue and organ damage associated with autoimmune diseases (AID) has been identified as key to improve long-term survival, but non-invasive biomarkers are lacking. Elevated cell-free DNA (cfDNA) levels have been observed in AID and inflammatory bowel disease (IBD), prompting interest to use cfDNA as a potential non-invasive diagnostic and prognostic biomarker. Despite these known disease-related changes in concentration, it remains impossible to identify AID and IBD patients through cfDNA analysis alone. By using unsupervised clustering on large sets of shallow whole-genome sequencing (sWGS) cfDNA data, we uncover AID- and IBD-specific genome-wide patterns in plasma cfDNA in both the obstetric and general AID and IBD populations. Supervised learning of the genome-wide patterns allows AID prediction with 50% sensitivity at 95% specificity. Importantly, the method can identify pregnant women with AID during routine non-invasive prenatal screening. Since AID pregnancies have an increased risk of severe complications, early recognition or detection of new onset AID can redirect pregnancy management and limit potential adverse events. This method opens up new avenues for screening, diagnosis and monitoring of AID and IBD.

2022-09-14 | E-MTAB-11607 | biostudies-arrayexpress

Expression profiling of invasive breast carcinoma samples from Institut Curie

Project description:Genomic hallmarks of homologous recombination deficiency in invasive breast carcinomas to appear in Internationa Journal of Cancer Transcriptome analysis of 243 (plus 12 duplicates) primary breast invasive carcinoma samples of various molecular subtypes. This dataset contains 255 arrays for 243 primary breast tumor samples obtained from 243 patient; 12 duplicated cases. Data production involved different array batches and hybridation series.

2015-06-19 | E-GEOD-69986 | biostudies-arrayexpress

RNA-seq of wheat leaves and roots in response to Xanthomonas translucens infection

Project description:This study aimed at decrypting the transcriptomic response of 2 months-old grown tender wheat (cv Chinese Spring) to a the Xanthomonas translucens pathogen infection by infiltration. The response was monitored by RNAseq 24h post leaf clipping. Triticum aestivum cv. Chinese Spring plants were maintained in a growth chamber with cycles of 12 h of light at 21C and 50% relative humidity (RH) and 12 h of dark at 21C and 50% RH. Leaves of 49 days-old plants were infiltrated with a bacterial suspension in water with an optical density at 600 nm (OD600) of 0.5 using a needleless syringe. Plants inoculated with water were used as controls. For transcriptomic and proteomic analyses, leaves and root tissues were harvested 1 day post-inoculation (dpi), when symptoms were not visible yet. Three biological replicates per treatment were performed, and each with pooled leaves from two independent plants per replicate. The files per conditions and replicates are:Sample 1 Root tissue with 3 replicates: CONTROL * control condition for roots (wheat without pathogen infection): 3 replicates: 1.1R,1.2R, 1.3R * control condition for leaves (wheat without pathogen infection): 3 replicates1.1L,1.2L, 1.3L * Wheat Roots infected by Xanthomonas translucens: 3 replicates: 5.1R, 5.2R, 5.3R * Wheat Leaves infected by Xanthomonas translucens: 3 replicates: 5.1L, 5.2L, 5.3L

2017-09-01 | E-MTAB-5891 | biostudies-arrayexpress

MicroRNA sequence and expression analysis in breast tumors by deep sequencing [mRNA expression array data]

Project description:MicroRNAs (miRNAs) regulate many genes critical for tumorigenesis. We profiled miRNAs from 11 normal breast tissues, 17 non-invasive, 151 invasive breast carcinomas, and 6 cell lines by in-house-developed barcoded Solexa sequencing. miRNAs were organized in genomic clusters representing promoter-controlled miRNA expression and sequence families representing seed-sequence-dependent miRNA-target regulation. Unsupervised clustering of samples by miRNA sequence families best reflected the clustering based on mRNA expression available for this sample set. Clustering and comparative analysis of miRNA read frequencies showed that normal breast samples were separated from most non-invasive ductal carcinoma in situ and invasive carcinomas by increased miR-21 (the most abundant miRNA in carcinomas) and multiple decreased miRNA families (including mir-98/let-7), with most miRNA changes apparent already in the non-invasive carcinomas. In addition, patients that went on to develop metastasis demonstrated increased expression of mir-423, and triple negative breast carcinomas were most distinct from other tumor subtypes due to up-regulation of the mir-17~92 cluster. However, absolute miRNA levels between normal breast and carcinomas did not reveal any significant differences. We also discovered two polymorphic nucleotide variations among the more abundant miRNAs miR-181a (T19G) and miR-185 (T16G), but we did not identify nucleotide variations expected for classical tumor suppressor function associated with miRNAs. The differentiation of tumor subtypes and prediction of metastasis based on miRNA levels is statistically possible, but is not driven by deregulation of abundant miRNAs, implicating far fewer miRNAs in tumorigenic processes than previously suggested. mRNA profiles for 161 normal breast and invasive breast carcinomas using NKI Operon V3 arrays; These samples have matched entries for miRNA profiles also included in this GEO submission.

2011-06-07 | E-GEOD-29174 | biostudies-arrayexpress

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