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• Genome and transcriptome sequence data from a non-small cell lung cancer patient

  Genome and transcriptome sequence data from a non-small cell lung cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001001969

• Genome and transcriptome sequence data from a melanoma skin cancer - squamous cell carcinoma patient

  Genome and transcriptome sequence data from a melanoma skin cancer - squamous cell carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002018

• Genome and transcriptome sequence data from a metastatic small cell carcinoma of unknown primary cancer patient

  Genome and transcriptome sequence data from a metastatic small cell carcinoma of unknown primary cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002641

• Whole genome and RNA-sequencing in T-cell acute lymphoblastic leukemia

  Dataset includes whole genome and transcriptomic sequencing data from five T-cell acute lymphoblastic leukemia (T-ALL) patients. Whole genome sequencing has performed from both diagnostic (T-ALL sample) and control (remission sample) samples. RNA-sequencing has performed from diagnostic samples. Samples has been taken from the bone marrow or peripheral blood.

  Dataset EGAD00001008658

• Early onset sporadic rectal cancer exome from Indian population

  Paired tumor-normal exome data from 47 Microsatellite stable Early-onset sporadic rectal cancer exome from the Indian population

  Dataset EGAD00001008504

• Sequencing data associated with Smith et al, Acta Neuropathologica, 2020 (PMID: 32519082)

  The dataset includes 144 BAM files of WGS, WES, and RNA-seq data from primary and PDOX samples analyzed in Smith et al, Acta Neuropathologica, 2020 (PMID: 32519082).

  Dataset EGAD00001007980

• Tumor Thrombus Dataset

  the dataset contains Exome and RNA fastq files of Renal Cell Carcinoma patients, which belongs to "Integrated genomic analysis of tumor thrombus"/

  Dataset EGAD00001008010

• Single-cell transcriptional mapping reveals genetic and hierarchy-based determinants of aberrant differentiation in AML

  Therapeutic targeting of acute myeloid leukemia (AML) has in part been hampered by profound cell state heterogeneity among leukemia cells. To develop a more precise understanding of leukemia cell states in AML, we constructed a reference atlas of human hematopoiesis from 263,519 single cell transcriptomes spanning 55 cellular states. Using this atlas, we mapped over 1.2 million single-cell transcriptomes spanning 318 myeloid leukemia samples. This uncovered twelve recurrent patterns of aberrant differentiation in AML and additional leukemia cell states involving lymphoid and erythroid progenitors. Systematic mapping of genotype-to-phenotype associations revealed specific differentiation landscapes associated with >45 genetic drivers. Importantly, AML samples sharing common genetic driver alterations can have distinct cellular origins which inform the cellular identity of their disease-sustaining leukemia stem cell (LSC). Further, distinct LSC-driven hierarchies can co-exist within individual patients. Thus, precise mapping of malignant cell states provides insights into leukemogenesis, refines disease classification, and informs therapy development.

  Study EGAS50000000918

• MPN mutation order followup

  To evaluate the presence of mutations in frequently mutated genes in MPN by performing targeted resequencing of a selected gene panel comprising of 111 genes across 40 samples with MPN.

  Dataset EGAD00001000848

• Epi-Tax targeted sequencing

  Sequencing of 350 cancer genes in BC samples from patients treated with either Epirubicin or Paclitaxel monotherapy in the neoadjuvant setting.

  Dataset EGAD00001000812