Project description:We compared gene expression profiles from six donor kidneys prior to surgical manipulation to six kidneys removed after laparoscopic donor nephrectomy (LDN) and several hours of CO2 pneumoperitoneum. Biopsies were obtained from renal cortex and hybridized to Affymetrix HG-U133A GeneChips. For control kidneys we identified 1380 genes present on all 6 samples that had a signal intensity greater than 1000. Functional classification of these revealed genes for cellular signaling (201; 15%), regulation of transcription (156; 11%), cellular transport (144; 10%) and cellular metabolism (111; 8%). A class comparison between the controls and LDN kidneys yielded 865 differentially expressed genes. Functional classification of the 502 genes differentially up-regulated in LDN kidneys identified associations with apoptosis, cell adhesion, cell signaling, regulation of cell growth/proliferation, immune/inflammation, ischemia/stress response and proteolysis/peptidolysis. These data demonstrate an altered renal transcriptome induced by several hours of CO2 pneumoperitoneum and laparoscopic surgery characterized by up-regulation of ischemia and injury associated genes. Keywords: Comparative Expression Twelve healthy adult kidney donors signed a consent form, and were approved for donation according to the usual evaluation and practice of the Cleveland Clinic Renal Transplant Program. To avoid potentially significant differences in gene expression based on race and/or ethnicity, only white recipients were selected. The patients were divided into two groups; six controls from open donor nephrectomy and six from LDN. Demographic information included age, gender, race, HLA type, and renal function data including serum creatinine (mg/dL), GFR measured by iothalamate clearance (cc/min.), and urine protein excretion (mg/24 hr). Each patient was given general anesthesia and had a diuresis induced with saline, mannitol, and furosemide. The controls had an extraperitoneal flank incision made, and with only minimal manipulation of the kidney two subcapsular core renal biopsies were obtained using a 15-gauge spring-loaded needle. For the LDN cases two core renal biopsies were obtained using the same needles after the kidneys underwent 2 to 3 hours of C02 pneumoperitoneum. Study biopsies went immediately into 1.5 mL of RNALater (Ambion, Austin, TX), and were stored at –80 0C until they were processed. Biopsy specimens were homogenized in 1 mL of Trizol (Invitrogen, Carlsbad, CA); total RNA was purified using an RNeasy column (Qiagen, Valencia, CA); and quality confirmed with an Agilent 2100 BioAnalyzer (Palo Alto, CA). Standard Affymetrix GeneChip (Santa Clara, CA) protocols were used, and labelled samples were hybridized to HG-U133A GeneChip arrays containing 22,283 probe sets representing over 14,500 human genes. Data was analyzed using Signal intensities generated using GeneChip Operating System version 1.0 and were subsequently analysed by Robust Multichip Average Express (RMA Express) using all Affymetrix .CEL files as a training set. BRB ArrayTools (http://linus.nci.nih.gov/BRB-ArrayTools.html) was used to perform class comparisons (significance level of p < 0.005), and create dendrograms. We used NetAffyx (www.affymetrix.com) to annotate the differentially expressed genes according to biological function based on the Gene Ontology database. A Heatmap was created using Cluster and TreeView software. This dataset is part of the TransQST collection.

Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.

Dataset Information

Homo sapiens

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets