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• Dataset of 5 RNAseq from 3 non-muscle-invasive bladder cancer patients

  RNAseq (FASTQ files) of 5 tumor from 3 non-muscle-invasive bladder cancer patients. For patient UC2, RNA from 3 different synchronous tumors was extracted. Relating to the other datasets from the project : no RNA was available from patient UC4. NB : patients aliases are the following : ROXY : UC1, OMAD : UC2, MAKI : UC3, HAPE : UC4

  Dataset EGAD50000002009

• Variant calling for UPST-SCCHN3 cohort

  Tumor versus Germline variant calling on UPST-SCCHN3 cohort

  Dataset EGAD50000002178

• This dataset contains the Fastq files from the RNA sequencing

  Whole blood was stimulated Ex vivo with Heat Killed M abscessus and M haemophilum or left untreated with Saline for each individual Healthy Control and MH-infected participants

  Dataset EGAD50000001566

• HiChIP for 2 samples

  This dataset contains H3K27ac HiChIP data from ta primary sample and a patient derived model (PDX) of the novel FOXF1/FENDRR ALL subtype. All the 2 samples are in bam file type.

  Dataset EGAD50000001787

• NANOPORE_TALL_t_14_16_translocation

  Nanopore sequencing for patients with t(14;16) translocated T-ALL

  Dataset EGAD50000001785

• WXS_TALL_t_14_16_translocation

  Whole exome-sequencing for patients with t(14;16) translocated T-ALL.

  Dataset EGAD50000001783

• WGS_TALL_t_14_16_translocation

  WGS data for patients with t(14;16) translocated T-ALL.

  Dataset EGAD50000001782

• B cell single cell sequencing (RNA + VDJ) - Autoproliferation

  10X 3' (RNA) and 10X 5' (VDJ) samples of B cells (non-proliferating/hi and autoproliferating/Dim) for healthy donor and Multiple sclerosis patients used in the paper.

  Dataset EGAD50000001237

• Characterizing Immune Profiles in Extrapulmonary Tuberculosis via RNA Sequencing

  This dataset provides insight into the immune response in extrapulmonary tuberculosis (EPTB), using bulk RNA-seq data to analyze different disease severities. Hierarchical clustering identified three distinct levels of severity, revealing disease progression driven by interferon and IL-1β-mediated signaling. Additionally, the dataset helped develop a diagnostic gene expression signature for both EPTB and pulmonary TB.

  Dataset EGAD50000000943

• Targeting Heterochromatin Eliminates Malignant Stem Cells in Chronic Myelomonocytic Leukemia Through Reactivation of Retroelements and Innate Immune pathways

  RNA-sequencing, ATAC-sequencing, CUT&Tag-sequencing, data from CMML patient and aged-matched healthy donor CD34+ cells. RNA-sequencing data from patient CD34+ cells after treatment for 4 days with decitabine or UNC0638 inhibitors, alone or together, or left untreated

  Dataset EGAD50000000542