11768 results for "cancer rna-seq"

in 15.96 milliseconds.

• bulk TCR-seq data IMCISION

  We performed bulk TCR sequencing (Adaptive Biotechnologies, Seattle, WA) on peripheral blood monocytic cells (PBMCs) from 9 HNSCC patients enrolled in the IMCISION trial (Vos et al. 2021) that responded to anti-PD-1 and anti-CTLA4 combination immunotherapy. DNA was extracted from PBMCs that were isolated from pre-treatment and on-treatment blood.

  Study EGAS00001007367

• ATAC-seq in hiPSC-derived neurons after BDNF and KCl stimulations

  Brain-Derived Neurotrophic Factor (BDNF) is crucial for neuronal survival, differentiation, synaptic plasticity, memory formation, and neurocognitive health. Molecular mechanisms of BDNF promoting cellular survival and synaptic plasticity have been intensely studied, yet its role in genome regulation is obscure. Using human induced pluripotent stem cell (hiPSC)-derived neurons via lentiviral delivery of the neuronal transcription factor Ngn2, we performed a temporal profiling (1h, 6h and 10h) of chromatin accessibility upon BDNF treatment or depolarization (KCl) to identify BDNF-specific chromatin-to-gene expression programs.

  Dataset EGAD00001009100

• LCM-ATACseq on human lung macrophages

  In this study we employed Laser Capture Microdissection (LCM) for the multimodal profiling of lung macrophages cell populations as a function of location within the healthy tissue. In detail, macrophage mini-bulks (~100 cells) were collected from 4 healthy human donors in 5 different locations of the airways (a total of 20 biopsies), including parenchyma (L1 – lower left lobe (LLL); L6 – 80% distance from LLL tip), trachea (L2), bronchi (L3 – 1st/2nd generation; L5 – 3rd/4th generation), and processed for ATAC-seq.

  Dataset EGAD00001008693

• Small cell cancer NDS Oxford DAC

  Dac EGAC00001003350

• Cancer Team Data Access Committee

  Dac EGAC00001002762

• Small cell cancer NDS Oxford DAC

  Dac EGAC00001003343

• Asian lung cancer genome data

  Dac EGAC00001000248

• MCCB Breast Cancer Data Access Committee

  Dac EGAC00001000854

• Rectal Cancer Samples Data Access Committee

  Dac EGAC00001001034

• University of Florida Brain Cancer DAC

  Dac EGAC00001001035

• DAC for Familial Breast Cancer study EGAS00001003305

  Dac EGAC00001001087

• OSBREAC (Oslo Breast Cancer Research Consortium)

  Dac EGAC00001001186

• Ewha-Samsumg Lung cancer collaboration DAC

  Dac EGAC00001001237

• Ewha-Samsung Lung cancer collaboration DAC

  Dac EGAC00001001283

• UCL Cancer Institute Data Access Committee

  Dac EGAC00001001360

• Yale Cancer Center Data Access Commitee

  Dac EGAC00001001437

• Lung cancer TRM Data Access Commitee

  Dac EGAC00001001759

• Gene expression and Cancer

  Dac EGAC00001001772

• 4C Endometrial Cancer Data Access Committee

  Dac EGAC00001001956

• University of Calgary Charbonneau Cancer Institute

  Dac EGAC00001002170

• The MITIMM Cancer Data Access Committee

  Dac EGAC00001002268

• EPICC: Evolutionary Predictions in Colorectal Cancer

  Dac EGAC00001002299

• Cancer Sequencing Data Access Committee

  Dac EGAC00001002457

• Cancer Core Europe Data Access Commitee

  Dac EGAC00001002460

• Laboratory of Applied Cancer Genomics team

  Dac EGAC00001002508

• Laboratory of Applied Cancer Genomics team

  Dac EGAC00001002520

• Laboratory of Applied Cancer Genomics team

  Dac EGAC00001002526

• Laboratory of Applied Cancer Genomics team

  Dac EGAC00001002535

• Laboratory of Applied Cancer Genomics team

  Dac EGAC00001002541

• Laboratory of Applied Cancer Genomics team

  Dac EGAC00001002554

• Laboratory of Applied Cancer Genomics team

  Dac EGAC00001002580

• Prostate Cancer Sample Data Access Commitee

  Dac EGAC00001002586

• Laboratory of Applied Cancer Genomics team

  Dac EGAC00001002587

• EPICC: Evolutionary Predictions in Colorectal Cancer

  Dac EGAC00001002592

• Prostate Cancer Sample Data Access Commitee

  Dac EGAC00001002593

• UCL cancer institute data access commitee

  Dac EGAC00001002659

• Salivary gland cancer TSO500 data team

  Dac EGAC00001002668

• INSERM U944 Team Genome and Cancer

  Dac EGAC00001002976

• Cancer Team Data Access Committee

  Dac EGAC00001002982

• Ovarian Cancer Data Access Committee

  Dac EGAC00001003014

• Cancer Genomics Project DBA Data Access Committee

  Dac EGAC01000000005

• MESA colorectal cancer data access committee

  Dac EGAC00001002798

• Cancer Epigenetics Group

  Dac EGAC00001003349

• Metastatic Breast Cancer Data Access Committee

  Dac EGAC00001003074

• Genomic characterization of retinoblastoma

  Study EGAS00001005248

• Soft tissue sarcoma sequencing data

  Study EGAS00001006356

• HGSOC organoid sequencing study

  Study EGAS00001007189

• early-Duodenal Cancer sequencing study

  ...

  Study EGAS00001006357

• Intercepting Progression from Pre-Invasive to Invasive Lung Adenocarcinoma

  An improved understanding of the biology of lung cancer is needed to intercept the disease at an early point in its progression. In this project we have used multidimensional methods to profile the tumor microenvironment (TME) and to determine the crosstalk between cancer cells and the TME in pre-invasive to invasive human lung non-solid adenocarcinomas. Comparative analysis of the cellular and molecular events associated with the distinct histological stages will lead to identification of the critical events triggering progression and thereby identify targets to intercept disease progression. The data being submitted represents the genomic profiles of patient samples with pre-invasive and invasive human lung adenocarcinomas.

  Study phs002818

• Somatic Copy Number Analysis of Endometrial Carcinomas

  Endometrial cancer (EC) is the most commonly diagnosed gynecologic malignancy in the United States and is the sixth leading cause of cancer death amongst American women. The purpose of this study was to identify somatic (tumor-specific) copy number alterations in 7 clear cell ECs, 31 serous ECs, 17 endometrioid ECs, and the clear cell components of 2 endometrioid/clear cell ECs. To this end, DNAs from de-identified primary endometrial tumors and matched non-tumor tissues or blood were hybridized to high-density Illumina Infinium HumanHap650Y Beadchips or to high-density Human660W-Quad Beadchips and the data analyzed to annotate somatic copy number alterations throughout the genome.

  Study phs001690