Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Total RNA-seq from Patient-Derived Xenograft models of Breast Cancer developed at Baylor College of Medicine

ABSTRACT: Total RNA-seq from Patient-Derived Xenograft models of Breast Cancer developed at Baylor College of Medicine

PROVIDER: PRJNA759581 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Total RNA-seq from Patient-Derived Xenograft models of Breast Cancer developed at Baylor College of Medicine

Project description:This study is a repository for all RNAseq data obtained from High Throuput Seqeuncing of Patient Derived Xenograft models of Breast Cancer studied at the Baylor College of Medicine Breast Center.

2022-11-01 | GSE183187 | GEO

Disease 2020: Large-Scale Sequencing and Analysis Center Initiated Projects/Baylor College of Medicine

Project description:Disease 2020: Large-Scale Sequencing and Analysis Center Initiated Projects/Baylor College of Medicine

| PRJNA252586 | ENA

Baylor College of Medicine Advancing Sequencing in Childhood Cancer Care (BASIC3) Clinical Exome Sequencing Study

Project description:Baylor College of Medicine Advancing Sequencing in Childhood Cancer Care (BASIC3) Clinical Exome Sequencing Study

| PRJNA301078 | ENA

Genome Sequencing of Pancreatic Ductal Adenocarcinoma at The Human Genome Sequencing Center of Baylor College of Medicine (HGSC-BCM)

Project description:<p>Pancreatic ductal adenocarcinomas (PDAC) is the 11th most common cancer in the USA but the 4th in fatalities. The onset and progression of cancer is driven by extensive rearrangement and mutation of the genome. We combined our capability to capture and enrich exome DNA with the next generation sequencing capacity to allow us to detect and characterize the somatic mutation profile of 24 patients with PDAC. Patient samples were collected by the Elkins Pancreatic Center in the Baylor College of Medicine Department of Surgery. Sequencing of the pancreatic ductal adenocarcinoma is one of the NHGRI Center Initiated Projects in progress in the Human Genome Sequencing Center at Baylor College of Medicine. These data are also contributed to an ICGC study and will be published with the ICGC collaborators.</p>

| phs000516.v1.p1 | EGA

Severe acute respiratory syndrome coronavirus 2

Project description:SARS-CoV-2 Capture Sequencing: Baylor College of Medicine

| PRJNA723604 | ENA

A Patient-Derived Xenograft Preclinical Model for Triple Negative Breast Cancer to Evaluate PDJ Amplicon Heterogeneity and Chemotherapeutic Induction

Project description:We applied DNA content flow cytometry to ten patient derived triple negative breast cancer (TNBC) xenografts (PDXs) from the Baylor College of Medicine (BCM). We interrogated purified sorted tumor fractions from each sample with whole genome copy number variant (CNV) analyses. These identified a variety of somatic genomic lesions that are common in TNBC including three cases with 9p24.1 amplification targeting PD-L1-PDL2 and JAK2 (PDJ amplicon) and recurring focal amplicons of oncogenic drivers found commonly in the TNBC PDXs including MYC and EGFR. In addition, homozygous deletions of known tumor suppressor genes including PTEN, CDKN2A, RB1, and BRCA2, and unique targets such as CUX1 and FYN were identified. Of the three PDJ-positive amplified PDXs, 2/3 two had focal MYC amplifications and 1/3 had a RB1 homozygous deletion.

2020-06-04 | GSE151751 | GEO

Transcription profiling of activated human T cells induced by microgravity to identify apoptotic genes and other immune response genes

Project description:The purpose of this study was to search for microgravity-sensitive genes, specifically for apoptotic genes influenced by the microgravity environment and other genes related to immune response. Experiment Overall Design: Two-group design with paired samples, i.e., one 1G and one MMG culture came from the same donor. Therefore, 6 samples came from 3 different donors. Experiment Overall Design: Donor 1 :GSM96146,GSM96147 Experiment Overall Design: Donor 2: GSM96148, GSM96149 Experiment Overall Design: Donor 3: GSM96150,GSM96151 Experiment Overall Design: Total RNA was submitted to, and then labeled, hybridized and data generated by the Baylor College Medicine Microarray Core Facility (333E One Baylor Plaza, Houston, TX 77030).

2007-10-27 | E-GEOD-4209 | biostudies-arrayexpress

Addressing a Pre-Clinical Pipeline Gap: Development of the Pediatric Acute Myeloid Leukemia Patient-Derived Xenograft Program at Texas Children's Hospital at Baylor College of Medicine.

Project description:The survival rate of pediatric acute myeloid leukemia (pAML) is currently around 60%. While survival has slowly increased over the past few decades, the development of novel agents likely to further improve survival for this heterogeneous patient population has been limited by gaps in the pAML pre-clinical pipeline. One of the major hurdles in evaluating new agents for pAML is the lack of pAML patient-derived xenograft (PDX) models. Unlike solid tumors and other types of leukemias, AML is notoriously hard to establish in mouse models, likely due in part to the need for specific human microenvironment elements. Our laboratory at TCH/BCM addressed this gap by establishing a systematic PDX workflow, leveraging advanced immunodeficient hosts and capitalizing on our high volume of pAML patients and close coordination between labs and clinical sections. Patients treated at TCH are offered the chance to participate in specimen banking protocols that allow blood and bone marrow collection as well as the collection of relevant clinical data. All patients who consent and have samples available are trialed for PDX development. In addition, samples from the Children's Oncology Group (COG) are also trialed for PDX generation. Serially transplanting PDX models are validated using short tandem repeat (STR) and characterized using both targeted DNA/RNA next generation sequencing and RNAseq. As of March 2023, this systematic approach has resulted in 26 serially transplanting models. Models have been shared with requesting labs to facilitate external pAML pre-clinical studies. Available PDX models can be located through the BCM PDX Portal. We expect our growing PDX resource to make a significant contribution to expediting the testing of promising novel therapeutics for pAML.

| S-EPMC10886789 | biostudies-literature

mRNA-sequencing of breast cancer subtypes and normal tissue

Project description:Goal: To define the digital transcriptome of three breast cancer subtypes (TNBC, Non-TNBC, and HER2-positive) using RNA-sequencing technology. To elucidate differentially expressed known and novel transcripts, alternatively spliced genes and differential isoforms and lastly expressed variants in our dataset. Method: Dr. Suzanne Fuqua (Baylor College of Medicine) provided the human breast cancer tissue RNA samples. All of the human samples were used in accordance with the IRB procedures of Baylor College of Medicine. The breast tumour types, TNBC, Non-TNBC and HER2-positive, were classified on the basis of immunohistochemical and RT-qPCR classification. Results: Comparative transcriptomic analyses elucidated differentially expressed transcripts between the three breast cancer groups, identifying several new modulators of breast cancer. We discovered subtype specific differentially spliced genes and splice isoforms not previously recognized in human transcriptome. Further, we showed that exon skip and intron retention are predominant splice events in breast cancer. In addition, we found that differential expression of primary transcripts and promoter switching are significantly deregulated in breast cancer compared to normal breast. We also report novel expressed variants, allelic prevalence and abundance, and coexpression with other variation, and splicing signatures. Additionally we describe novel SNPs and INDELs in cancer relevant genes with no prior reported association of point mutations with cancer

2013-11-08 | GSE52194 | GEO

Transcription profiling of mouse osteoblasts under static vs simulated microgravity

Project description:The below table includes a smaller list of data that was analyzed by dChip and filtered by pvalue such that a file with about 4600 genes was obtained, which allowed for ease of use from 40,000 genes. Experiment Overall Design: The total RNA was extracted from 2T3 pre-osteoblast cells exposed to static or simulated microgravity (Rotating Wall Vessel) conditions. The RNA was then sent to Affymetrix microarray core facility at Baylor College of Medicine (Houston, TX) for microarray analysis.

2008-06-13 | E-GEOD-4658 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data