Support data for the thesis
Reason: Data supporting the results or analysis of the thesis are available upon reasonable request.
until file(s) become available
Supporting data for “Harnessing single-cell transcriptomics analysis to determine cellular heterogeneity, progression, and early markers of conventional chondrosarcoma”
datasetposted on 02.06.2021, 02:28 by Zezhuo SuZezhuo Su, Joshua Wing Kei HoJoshua Wing Kei Ho, Sin Chi Kelvin CheungSin Chi Kelvin Cheung
Chondrosarcoma consisting of cartilage producing cells is a relatively rare cancer. Conventional chondrosarcoma (CCS) is the most common form of chondrosarcoma that can arise from benign tumour. Benign tumour is managed conservatively, while surgery is the main form of treatment for CCS. However, there is currently no clear diagnostic marker for malignant transformation and clinical decision making. We used single-cell RNA sequencing (scRNA-seq) to characterize primary tumour tissues from seven patients with CCS, one patient with benign tumour, one patient with dedifferentiated chondrosarcoma, as well as a chondroblastic osteosarcoma and a fetal femur as controls. This single cell atlas were use to were analysed to identify tumour heterogeneity, malignant transformation, and early markers of CCS.
Functional characterisation of a progenitor-like cell population found in Chondrosarcoma
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