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<biogps><data><item key="platform">4</item><item key="owner">ArrayExpress Uploader</item><item key="ownerprofile_id">arrayexpress_sid</item><item key="species">human</item><item key="factors"><item><item key="GSE5081GSM114512"/></item><item><item key="GSE5081GSM114513"/></item><item><item key="GSE5081GSM114514"/></item><item><item key="GSE5081GSM114515"/></item><item><item key="GSE5081GSM114516"/></item><item><item key="GSE5081GSM114517"/></item><item><item key="GSE5081GSM114518"/></item><item><item key="GSE5081GSM114519"/></item><item><item key="GSE5081GSM114520"/></item><item><item key="GSE5081GSM114521"/></item><item><item key="GSE5081GSM114522"/></item><item><item key="GSE5081GSM114523"/></item><item><item key="GSE5081GSM114524"/></item><item><item key="GSE5081GSM114525"/></item><item><item key="GSE5081GSM114526"/></item><item><item key="GSE5081GSM114527"/></item><item><item key="GSE5081GSM114504"/></item><item><item key="GSE5081GSM114505"/></item><item><item key="GSE5081GSM114506"/></item><item><item key="GSE5081GSM114507"/></item><item><item key="GSE5081GSM114508"/></item><item><item key="GSE5081GSM114509"/></item><item><item key="GSE5081GSM114510"/></item><item><item key="GSE5081GSM114511"/></item><item><item key="GSE5081GSM114528"/></item><item><item key="GSE5081GSM114529"/></item><item><item key="GSE5081GSM114530"/></item><item><item key="GSE5081GSM114531"/></item><item><item key="GSE5081GSM114532"/></item><item><item key="GSE5081GSM114533"/></item><item><item key="GSE5081GSM114534"/></item><item><item key="GSE5081GSM114535"/></item></item><item key="id">4684</item><item key="pop_total">0</item><item key="source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-5081</item><item key="summary_wrapped">The whole-genome oligonucleotide microarray analysis gives an opportunity for studying the unidentified gene expression background of the...</item><item key="owner_profile">/profile/8773/arrayexpressuploader</item><item key="factor_count">0</item><item key="sample_count">32</item><item key="tags"><item>genome</item><item>mucosa</item></item><item key="lastmodified">Dec.12, 2014</item><item key="is_default">False</item><item key="geo_id_plat">E-GEOD-5081_A-AFFY-44</item><item key="slug">transcription-profiling-of-human-gastritis-helicob</item><item key="geo_gds_id"/><item key="name">Transcription profiling of human gastritis Helicobacter positive and negative samples</item><item key="created">Sep.21, 2014</item><item key="summary">The whole-genome oligonucleotide microarray analysis gives an opportunity for studying the unidentified gene expression background of the idiopathic and H.pylori related gastric erosive alterations. Using microarrays we compared the whole genome gene expression profile of HP+ and HP- gastric erosions and normal adjacent mucosa to explain the possible role and response to HP infection and to get morphology related  mRNA expression patterns. Experiment Overall Design: Total RNA was extracted from frozen gastric biopsy specimens of  patients with Helicobacter pylori positive (HP+) and Helicobacter pylori negative (HP-) antrum erosions (ER+), and the corresponding, adjacent normal mucosae (ER-) and hybridized on Affymetrix HGU133 Plus 2.0 microarrays</item><item key="geo_gse_id">E-GEOD-5081</item><item key="sample_source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-5081/samples/</item></data></biogps>
