3796 results for "RNA AND sequencing OR transcriptome"

in 9.37 milliseconds.

• Short-read single-cell RNA-sequencing of the human brain in neurodegenerative diseases

  Nuclei were isolated from postmortem human brain tissue, and single-nucleus barcoded cDNA libraries were generated using the 10X Genomics 3' v3.1 kit. Samples were sequenced on an Illumina NovaSeq 6000 to an average of 343 million reads per sample and 52,000 reads per cell.

  Dataset EGAD50000000178

• Citeseq of human bone marrow

  CITE-seq dataset of human bone marrow from four healthy donors. Single-cell RNA sequencing was performed using the 10x Genomics 3’ v3 platform. Approximately 7,000–10,000 cells were loaded in each 10x channel, after which the single-cell libraries were prepared according to manufacturer’s instructions, except for the added CITE-seq steps. Demultiplexed FASTQ files are provided.

  Dataset EGAD50000001211

• Spatial transcriptomics reveals immune and tissue remodeling, highlighting diverse host responses across mycobacterial granuloma types

  Granulomas are the hallmark of Mycobacterium infections, forming structured immune environments that drive disease persistence. However, their spatial and functional organization remains unclear. Using spatial RNA sequencing on 33 patient explants, we try to reveal the detailed gene expression and cell composition landscape of granulomas.

  Dataset EGAD50000001462

• Synergy study: "Tissue resident CD8+ T cell clonal expansion in advanced triple negative breast cancer is associated with response to chemoimmunotherapy"

  Dataset of the study "Synergy study: "Tissue resident CD8+ T cell clonal expansion in advanced triple negative breast cancer is associated with response to chemoimmunotherapy". This dataset contains the cellranger's gene-expression matrices for the 5 prime single-cell RNA sequencing experiments

  Dataset EGAD50000000748

• Transcriptomic signatures of CD4+ T cells from visceral leishmaniasis (VL) patients

  Bulk RNA-sequencing was performed on CD4+ T cells isolated from the blood of visceral leishmaniasis patients (n = 12) and endemic controls (EC; n = 12). CD4+ T cells were obtained by magnetic-activated cell sorting (MACS). Alterations in the transcripts of T helper (Th) cells during infection were identified.

  Dataset EGAD00001005807

• Transcriptional programming in whole blood reveals changes in pro-inflammatory phenotype explained by changed food and changed life style.

  We here focused on whole blood from paxgene tubes from healthy Tanzanians and the impact of urbanization and diet on innate immune responses. We performed RNA-sequencing of whole blood from paxgene tubes from healthy Tanzanians and investigate that transcriptional changes depend of diet and location.

  Dataset EGAD00001006051

• 2 10X multiomics (RNA+DNA) gray matter brain controls donors

  Single cell multiomics from 2 donor controls, expression and chromatin accessibility. Samples belong to gray matter tissue from the brain.

  Dataset EGAD00001008457

• Sequencing data for oesophageal and related samples - Nowicki-Osuch, Zhuang et al (bulk RNA)

  Data supporting: “Deep molecular phenotyping reveals the identity of Barrett’s esophagus and its malignant transition.” Nowicki-Osuch, Zhuang et al. RNAseq (BAM files) 241 tumour samples

  Dataset EGAD00001005388

• Natural Killer Cell Plasticity During IL-15-driven Homeostatic Proliferation

  Here we performed single-cell RNA sequencing to address repertoire stability and subset plasticity during IL-15 driven homeostatic proliferation. Sorted NK cell subsets representing discrete stages of NK cell differentiation are compared with the corresponding subsets after proliferation and further sorted into two subsets depending on the rate of proliferation.

  Dataset EGAD00001005420

• RNA-seq of T-ALL patient-derived xenograft (PDX) samples

  This dataset includes 4 samples profiled by high-throughput Illumina sequencing, in bam format, aligned to GRCh37. Human patient T-ALL samples were serially propagated as xenografts in immunodeficient mice. The samples were collected after development of frank leukemia in recipient mice.

  Dataset EGAD00001009749