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Series GSE93397 Query DataSets for GSE93397
Status Public on Jan 11, 2017
Title 809094 Biomarker Identification in Fracture Healing (experiment #3808 miRNA)
Platform organism synthetic construct
Sample organism Homo sapiens
Experiment type Non-coding RNA profiling by array
Summary The specific genes that distinguish normal fracture healing from abnormal healing or nonunion in humans are unknown. This study explored global RNA expression in remnant bone fragments from acutely injured patients undergoing open primary fracture repair surgery. These data will be compared to blood samples collected from acutely injured subjects, chronic nonunion subjects, and a panel of healthy volunteers.
We used microarrays to do a global comparison across bone fragments collected from different patients, and different bones. We also evaluated the role of remnant bone preparation which was either immediate freezing in liquid nitrogen or heat stabilized with the Denator Stabilizer(TM) system.
Overall design Remnant bone fragments were collected intraoperatively by the staff of the Cooperative Human Tissue Network Eastern Division (CHTN-ED Samples were split for processing as frozen in liquid nitrogen vs. heat stabilization, followed by annotation and storage until the time of RNA extraction.
Contributor(s) Mehta S, Horan AD
Citation(s) 31083145
Submission date Jan 10, 2017
Last update date Jul 18, 2019
Contact name Annamarie D Horan
Organization name University of Pennsylvania
Department Orthopaedic Surgery
Lab Division of Orthopaedic Trauma
Street address 3737 Market Street, 6th Floor
City Philadelphia
State/province PA
ZIP/Postal code 19104
Country USA
Platforms (1)
GPL8786 [miRNA-1] Affymetrix Multispecies miRNA-1 Array
Samples (8)
GSM2452529 Bone-Frozen Femur, rep1 [miRNA]
GSM2452530 Bone-HST Femur, rep1 [miRNA]
GSM2452531 Bone-HST Mandible [miRNA]
BioProject PRJNA360867

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE93397_RAW.tar 1.3 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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