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Series GSE275677 Query DataSets for GSE275677
Status Public on Sep 13, 2024
Title RUNX2 as a novel Biomarker for early identification of Patients Progressing to Advanced-Stage Mycosis Fungoides
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Here, we used spatial transcriptomics on skin samples at time-of-diagnosis to enable prediction of patients who later progressed to advanced stages of MF. Formalin-fixed, paraffin-embedded skin biopsies at time of diagnosis from six patients with MF who progressed to advanced stages of disease within 4 months to 12 years after diagnosis, and nine patients who remained in early-stage disease over 9 to 27 years were analyzed using the GeoMx Digital Spatial Profiler to capture spatially resolved high-plex RNA gene expression data. Five different regions of interest (the epidermis, the basal layer of epidermis, CD4+ T-cells and neighboring cells, and Pautrier’s microabscesses) were profiled for further assessment.
 
Overall design Open mechanistic study
Web link https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2024.1421443/abstract
 
Contributor(s) Danielsen M, Emmanuel T, Nielsen MM, Lindhl L, Gluud M, Odum N, Raaby L, Steiniche T, Iversen L, Bech R, Buus TB, Johansen C
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Submission date Aug 26, 2024
Last update date Sep 14, 2024
Contact name Morten Muhlig Nielsen
E-mail(s) morten.muhlig@clin.au.dk, muhligs@gmail.com
Organization name Aarhus University
Department Department of Molecular Medicine
Street address Palle Juul-Jensens Bouleward 99
City Aarhus
ZIP/Postal code DK-8200
Country Denmark
 
Platforms (1)
GPL34281 Illumina NovaSeq X (Homo sapiens)
Samples (68)
GSM8482288 patient_b_basal_layer_nonprogression_001
GSM8482289 patient_c_cd4cells_dermis_nonprogression_002
GSM8482290 patient_c_cd4cells_dermis_micro_nonprogression_002
Relations
BioProject PRJNA1152558

Download family Format
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Supplementary file Size Download File type/resource
GSE275677_RAW.tar 3.6 Mb (http)(custom) TAR (of DCC)
SRA Run SelectorHelp
Raw data are available in SRA

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