15016 results for "cancer studies using rna-seq"

in 19.71 milliseconds.

• NICHE - DNA-seq of MMR proficient early stage colon cancers

  The dataset includes 152 FASTQ files from paired-end WXS sequencing on Illumina HiSeq2500 or Novaseq 6000 for 31 pMMR patients. This includes 31 tumor DNA and 31 blood germline samples.

  Dataset EGAD50000001247

• Caregiving as a Natural Stressor in Studies of the Role of Genes That Affect Serotonin Function in Regulating Risk Factors for Coronary Heart Disease (CAREGIVER)

  The burden of caregiving for an ill relative has been shown to interact with existing comorbidities to increase risk of several health outcomes including metabolic syndrome and blood pressure reactivity. The CAREGIVER study was developed to compare cardiometabolic risk factors in caregivers and controls. These risk factors include physiologic measures, psychologic measures, neighborhood characteristics, and genetic and genomic factors. DNA and plasma were collected and used for examination of cardiometabolic and stress biomarkers, genotyping and methylation analysis.

  Study phs001747

• Single-Cell RNA-Sequencing Analysis of Responses to Pembrolizumab in Sezary Syndrome

  This phase 2 single arm clinical trial assessed the efficacy of pembrolizumab in patients with previously treated mycosis fungoides or Sezary syndrome. Pembrolizumab was found to have a 38% overall response rate, and a 27% overall response rate in subjects with Sezary syndrome. We performed single-cell RNA-sequencing on samples collected before the first treatment and after 3 weeks of pembrolizumab treatment. Sequencing was performed on cryopreserved peripheral blood T-lymphocytes isolated from 6 trial participants, including 3 patients who responded to pembrolizumab treatment and 3 patients who did not respond. A total of 118,961 peripheral blood T-cells are included in this data set.

  Study phs002933

• Long-read single-cell RNA sequencing uncovers cell-type specific transcript regulation in COVID-19

  SARS-CoV-2 infection leads to extensive host transcriptomic changes, but the role of alternative splicing in shaping the immune response remains underexplored. Here, we present the first application of long-read single-cell RNA sequencing on nasopharyngeal swabs from COVID-19 patients and healthy controls to resolve transcript-level changes across cell types. Leveraging the strengths of long-read sequencing, we characterize alterations in both gene and isoform expression within cell populations of the upper respiratory tract—the primary site of SARS-CoV-2 entry. This approach provides new insights into how transcriptional regulation and splicing shape host immune responses to viral infection.

  Study EGAS50000001290

• Integrative single-cell and cell-free plasma RNA transcriptomics elucidates placental cellular dynamics

  The human placenta is a dynamic and cellular heterogeneous organ, which is critical in fetomaternal homeostasis and the development of preeclampsia. Previous work has shown that placenta-derived cell-free RNA increases during pregnancy. We applied large-scale microfluidic single-cell transcriptomic technology to comprehensively characterize cellular heterogeneity of the human placentas and identified multiple placental cell-type–specific gene signatures. Analysis of the cellular signature expression in maternal plasma enabled noninvasive delineation of the cellular dynamics of the placenta during pregnancy and the elucidation of extravillous trophoblastic dysfunction in early preeclampsia.

  Study EGAS00001002449

• Uncovering tumor intrinsic and extrinsic factors that regulate hepatocellular carcinoma growth using patient derived xenograft assays

  Dac EGAC00001001387

• EGAD00010000654

  Control samples using SNP 6.0 Arrays

  Dataset EGAD00010000654

• EGAD00010000656

  Case samples using SNP 6.0 Array

  Dataset EGAD00010000656

• EGAD00010000500

  Case samples using U133 Plus 2.0 Array

  Dataset EGAD00010000500

• EGAD00010000504

  Control samples using SNP Array 6.0

  Dataset EGAD00010000504

• iOmics_gene_expression_data

  iOmics gene expression data using Expression Array

  Dataset EGAD00010001307

• CNAPs

  Copy Number profiles measured using Affymetrix SNP Array 6.0

  Dataset EGAD00010002544

• GSA_2020_hg38

  Genopyting of 65 individuals using the Illumina Global Screening Array-24 v2

  Dataset EGAD00010002706

• GSA_2023_hg19

  Genopyting of 45 individuals using the Illumina Global Screening Array-24 v3

  Dataset EGAD00010002707

• GSA_2022_hg19

  Genopyting of 45 individuals using the Illumina Global Screening Array-24 v3

  Dataset EGAD00010002705