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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
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[Functional mRNA expression analysis and classification of colonic biopsy samples using overall cDNA microarray

Orsolya Galamb1, Ferenc Sipos, Elek Dinya

  • 1Semmelweis Egyetem, Altalános Orvostudományi Kar II. Belgyógyászati Klinika Budapest. orsg1@yahoo.com

Orvosi Hetilap
|January 26, 2008
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Summary

Gene expression profiling of colon biopsies accurately classifies inflammatory bowel disease, adenomas, and colorectal cancer. This molecular approach aids in diagnosing complex cases, improving patient stratification and treatment strategies.

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Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform
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Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform

Published on: November 30, 2016

Area of Science:

  • Molecular biology
  • Genomics
  • Oncology

Context:

  • Colon biopsies offer insights into local molecular alterations.
  • Gene expression analysis aids in classifying inflammatory and neoplastic diseases.

Purpose:

  • To analyze mRNA expression profiles in colon biopsies.
  • To classify inflammatory bowel disease (IBD), adenomas, and colorectal adenocarcinoma (CRC) using gene expression data.

Summary:

  • Multivariate analysis of gene expression data from 22 colon biopsies (IBD, adenomas, CRC) identified distinct molecular patterns.
  • Discriminant analysis using four genes accurately reclassified all samples.
  • Specific gene expression signatures were associated with IBD, adenomas, and CRC, with validation by RT-PCR and immunohistochemistry.

Impact:

  • Objective classification of histological alterations is achievable through functional, multivariate analysis of cDNA microarrays.
  • Disease-specific gene expression patterns can improve diagnostic accuracy, particularly for intermediate or nondescript cases.