Idiosyncratic and generic single nuclei and spatial transcriptional patterns in papillary and anaplastic thyroid cancers

Thyroid cancer is the most common endocrine malignancy. This dataset encompasses two types of thyroid cancer : anaplastic which is the most de-differentiated and aggressive one, and papillary which is the most common one. We profiled 14 patients, including 10 papillary and 4 anaplastic thyroid carcinomas, using both single nuclei RNA sequencing and spatial transcriptomics to link single cell resolution RNA sequencing with tissue morphology and better understand inter and intratumoral thyroid cancer heterogeneity.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

3 Datasets

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001011364	This dataset includes the 2 extra normal samples adjacent to PTC tumors that were multiplexed and profiled using kits from different batches.	Illumina NovaSeq 6000	2
EGAD00001011365	This dataset include all spatial transcriptomics experiments. Samples coming from the same patient were sequenced on the same flowcell. Patients PTC4 to PTC9 were also sequenced on the same flowcell, as well as ATC1 and ATC2 on another one, and ATC3A and ATC3B on another one.	Illumina NovaSeq 6000	37
EGAD00001011366	This dataset includes the first 9 PTC samples and 6 ATC samples profiled on the same sequencing flowcell.	Illumina NovaSeq 6000	15