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GSE27830
Homo sapiens
155 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
CHEK2 1100delC is a moderate-risk cancer susceptibility allele that confers a high breast cancer risk in a polygenic setting. Gene expression profiling of CHEK2 1100delC breast cancers may reveal clues to the nature of the polygenic CHEK2 model and its genes involved. Here, we report global gene expression profiles of a cohort of 155 familial breast cancers, including 26 CHEK2 1100delC mutant tumors. A 40-gene CHEK2 signature was defined that significantly associated with CHEK2 1100delC breast cancers. The identification of a CHEK2 gene signature implies an unexpected biological homogeneity among the CHEK2 1100delC breast cancers. In addition, all 26 CHEK2 1100delC tumors classified as luminal intrinsic subtype breast cancers, with 8 luminal A and 18 luminal B tumors. This biological make-up of CHEK2 1100delC breast cancers suggests that a relatively limited number of additional susceptibility alleles are involved in the polygenic CHEK2 model. Identification of these as-yet-unknown susceptibility alleles should be aided by clues from the 40-gene CHEK2 signature.
Publication Title
Gene expression profiling assigns CHEK2 1100delC breast cancers to the luminal intrinsic subtypes.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 65 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Identification of TDRD1 as a direct target gene of ERG in primary prostate cancer.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 48 Downloadable Samples
Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
ERG overexpression is the most frequent molecular alteration in prostate cancer. We analyzed different stages of prostate cancer to identify genes that were coexpressed with ERG overexpression. In primary prostate tumors, it was shown that TDRD1 expression was the strongest correlated gene with ERG overexpression and we suggest TDRD1 as a direct ERG target gene.
Publication Title
Identification of TDRD1 as a direct target gene of ERG in primary prostate cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 17 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
ERG overexpression is the most frequent molecular alteration in prostate cancer. We analyzed different stages of prostate cancer to identify genes that were coexpressed with ERG overexpression. In primary prostate tumors, it was shown that TDRD1 expression was the strongest correlated gene with ERG overexpression and we suggest TDRD1 as a direct ERG target gene.
Publication Title
Identification of TDRD1 as a direct target gene of ERG in primary prostate cancer.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 109 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Global microarray (HG U133 Plus 2.0) was used to investigate the effects of resistance exercise and resistance training on the skeletal muscle transcriptome profile of 28 young and old adults. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.
Publication Title
Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.
Sample Metadata Fields
Sex, Specimen part, Time
View Samples- Homo sapiens
- 70 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Global microarray (HG U133 Plus 2.0) was used for the first time to investigate the effects of resistance exercise on the transcriptome in slow-twitch myosin heavy chain (MHC) I and fast-twitch MHC IIa muscle fibers of young and old women. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.
Publication Title
Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.
Sample Metadata Fields
Sex, Specimen part, Subject, Time
View Samples- Homo sapiens
- 34 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Global microarray (HG U133 Plus 2.0) was used to investigate the basal level skeletal muscle transcriptome profile of young and old adults. One vastus lateralis muscle biopsy was obtained in the basal state from 36 different subjects.
Publication Title
Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
GM-CSF receptor- deficient (Csf2rb/ or KO) mice develop a lung disease identical to hereditary pulmonary alveolar proteinosis (hPAP) in humans with recessive CSF2RA or CSF2RB mutations that impair GM-CSF receptor function. We performed pulmonary macrophage transplantation (PMT) of bone marrow derived macrophages (BMDMs) without myeloablation in Csf2rb/mice. BMDMs were administered by endotracheal instillation into 2 month-old Csf2rb/ mice. Results demonstrated that PMT therapeutic of hPAP in Csf2rb/ mice was highly efficacious and durable. Alveolar macrophages were isolated by bronchoalveolar lavage one year after administration subjected to microarray analysis to determine the effects of PMT therapy on the global gene expression profile.
Publication Title
Pulmonary macrophage transplantation therapy.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 5 Downloadable Samples
Illumina HiSeq 2500
Description
Viral infection can dramatically alter a cell''s transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in production of viral gene transcripts -- viral transcripts compose less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, and this gene absence partially explains variation in viral transcriptional load. Despite variation in total viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells. Overall design: Dataset consists of a total of five single-cell datasets generated using the 10x Genomics Chromium Single Cell 3'' Solution platform. All samples were generated from a tissue culture infection model using A549 cells from ATCC and Influenza A/WSN/1933 virus. Uninfected control sample identically processed. Infected samples were generated from cells infected for 6, 8, and 10 hours with a single replicate at 8 hours.
Publication Title
Extreme heterogeneity of influenza virus infection in single cells.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 332 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Host Transcription Profile in Nasal Epithelium and Whole Blood of Hospitalized Children Under 2 Years of Age With Respiratory Syncytial Virus Infection.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples