Drosophila pseudoobscura pseudoobscura
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA13195 | ENA |
REPOSITORIES: ENA
Similar Datasets
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
Project description:SARS-CoV-2 Capture Sequencing: Baylor College of Medicine
| PRJNA723604 | ENA
Project description:Whole genome shotgun (WGS) project for Drosophila pseudoobscura strain MV2-25
| PRJNA10626 | ENA
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
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
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 mRNA profiles of 17 breast tumor samples of three different subtypes (TNBC, non-TNBC and HER2-positive) and normal human breast organoids (epithelium) samples (NBS) were sequenced using Illumina HiSeq.
2013-11-08 | E-GEOD-52194 | biostudies-arrayexpress
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
Project description:Baylor College of Medicine (BCM) Exome Sequencing of Intracranial Germ Cell Tumors
| PRJNA252892 | ENA
Project description:Microarray analysis of normal newborn ovarian transcript levels, for use in comparison to array based studies of differential expression in mouse knockout models. Experiment Overall Design: Newborn ovaries were pooled separately from wild type animals and total RNA isolated using RNeasy mini kit (Qiagen, CA). Newborn ovaries were collected within 12 hours of delivery. Animal experimentation was approved by the Institutional Animal Care and Use Committee of Baylor College of Medicine. Three independently pooled RNA samples from wild type used to generate biotinylated cRNA. Biotinylated cRNA was hybridized to GeneChip Mouse Expression Set 430 2.0 (Affymetrix, Inc.). Since three independent experiments were performed from three independent pools of wild type RNA, signal intensities for particular genes were averaged between the three chips.
2008-06-15 | E-GEOD-7776 | biostudies-arrayexpress
Project description:Disease 2020: Large-Scale Sequencing and Analysis Center Initiated Projects/Baylor College of Medicine
| PRJNA252586 | ENA