Following myocardial infarction, the prognosis for females is better than males. Estrogen is thought to be protective, but clinical trials with hormone replacement failed to show protection. Here, we sought to identify novel mechanisms that might explain this sex-based difference. By diverging from the traditional focus on sex hormones, we employed a conceptually novel approach to this question by using a non-biased approach to measure global changes in gene expression following infarction.
An association between gene expression and better survival in female mice following myocardial infarction.
Sex, Specimen part
View SamplesHMCs were treated with CsA (4.2 M) for 0 12 and 48 hours. To exmaine global gene changes in the renal mesangium following CsA treatment in order to identify novel contributors to CsA-induced renal dysfunction
Cyclosporine A--induced oxidative stress in human renal mesangial cells: a role for ERK 1/2 MAPK signaling.
Specimen part, Treatment
View SamplesFemale C57BL/6J mice hemizygous for the 5XFAD transgene (MMRRC Stock No #34848-JAX) were bred to males from BXD strains, which do not carry the 5XFAD transgene. The resulting F1 progeny were monitored throughout their lifespan to evaluate the effect of genetic background on cognitive and pathological traits. All of the mice were fear conditioned and sacrificed within 30 minutes of testing. On the sample records, the characteristics: age field provides the age at which fear conditioning, sacrifice, and tissue collection occurred. Samples here come from various AD-BXD lines and their non-transgenic (Ntg) littermate counterparts at either 6 or 14 months of age. Overall design: 133 samples, 64 Ntg and 69 AD. For final by-strain analysis, samples were averaged into strain/age/genotype/sex groups (For example, all D2 6mo 5XFAD males were averaged for final by-strain analysis)
Harnessing Genetic Complexity to Enhance Translatability of Alzheimer's Disease Mouse Models: A Path toward Precision Medicine.
Sex, Age, Specimen part, Subject
View SamplesTwo-year rodent bioassays play a central role in evaluating both the carcinogenic potential of a chemical and generating quantitative information on the dose-response behavior for chemical risk assessments. The bioassays involved are expensive and time-consuming, requiring nearly lifetime exposures (two years) in mice and rats and costing $2 to $4 million per chemical. Since there are approximately 80,000 chemicals registered for commercial use in the United States and 2,000 more are added each year, applying animal bioassays to all chemicals of concern is clearly impossible. To efficiently and economically identify carcinogens prior to widespread use and human exposure, alternatives to the two-year rodent bioassay must be developed. In this study, animals were exposed for 13 weeks to two chemicals that were positive for lung tumors in the two-year rodent bioassay, two chemicals that were negative for tumors, and two vehicle controls. Gene expression analysis was performed on the lungs of the animals to assess the potential for identifying gene expression biomarkers that can predict tumor formation in a two-year bioassay following a 13 week exposure.
A comparison of transcriptomic and metabonomic technologies for identifying biomarkers predictive of two-year rodent cancer bioassays.
Sex, Age, Subject
View SamplesTwo-year rodent bioassays play a central role in evaluating both the carcinogenic potential of a chemical and generating quantitative information on the dose-response behavior for chemical risk assessments. The bioassays involved are expensive and time-consuming, requiring nearly lifetime exposures (two years) in mice and rats and costing $2 to $4 million per chemical. Since there are approximately 80,000 chemicals registered for commercial use in the United States and 2,000 more are added each year, applying animal bioassays to all chemicals of concern is clearly impossible. To efficiently and economically identify carcinogens prior to widespread use and human exposure, alternatives to the two-year rodent bioassay must be developed. In this study, animals were exposed for 13 weeks to two chemicals that were positive for liver tumors in the two-year rodent bioassay, two chemicals that were negative for liver tumors, and two vehicle controls. Gene expression analysis was performed on the livers of the animals to assess the potential for identifying gene expression biomarkers that can predict tumor formation in a two-year bioassay following a 13 week exposure.
A comparison of transcriptomic and metabonomic technologies for identifying biomarkers predictive of two-year rodent cancer bioassays.
Sex, Age, Subject
View SamplesPurpose: Validation of Drosophila A-to-I editing sites Methods: We collected heads of 5 day old male dAdar-/- mutant (y, Adar5G1, w)26 and wild type (w1118) flies. Poly(A)+ RNA was used to prepare RNA-seq libraries which were subsequently sequenced single-end by an Illumina GAII Results:We builded a framework to identify RNA editing events using RNA-seq data alone in Drosophila. To validate whether the identified A-to-G sites were bona fide A-to-I editing events, we performed RNA-seq for the D.melanogaster wild-type strain (w1118) and for the Adar5G1 null mutant that eliminates RNA editing. We found that our method achieved high accuracy; 98.2% of all A-to-G sites showed only adenosine in the Adar5G1 sample Conclusions: We anticipate that our method will be very effective in the future to identify RNA editing events in different species. Overall design: mRNA profiles of heads of 5 day old male dAdar-/- mutant (y, Adar5G1, w)26 and wild type (w1118) flies
Identifying RNA editing sites using RNA sequencing data alone.
Age, Specimen part, Cell line, Subject
View SamplesIdentification of genes involved in ocular birth defects remains a challenge. To facilitate the identification of genes associated with cataract, we developed iSyTE (integrated Systems Tool for Eye gene discovery; http://bioinformatics.udel.edu/Research/iSyTE). iSyTE contains microarray gene expression profiles of the mouse embryonic lens as it transitions from the stage of placode invagination to that of vesicle formation. We identified differentially regulated genes by comparing lens microarray profiles to those representing whole embryonic body (WB) without ocular tissue. These were then utilized to generate a ranked list of lens-genes enrichment, which can be viewed as iSyTE tracks in the UCSC Genome browser to aid identification of genes with lens function.
iSyTE: integrated Systems Tool for Eye gene discovery.
Specimen part
View SamplesWe conducted a genetic analysis of the developing temporo-mandibular joint (TMJ), a highly specialized synovial joint that permits movement and function of the mammalian jaw. First, we used laser capture microdissection to perform a genome-wide expression analysis of each of its developing components. The expression patterns of genes identified in this screen were examined in the TMJ and compared to other synovial joints including the shoulder joint and the hip joint. Striking differences were noted, indicating that the TMJ forms via a distinct molecular program. Several components of the Hedgehog (Hh) signaling pathway are among the genes identified in the screen, including Gli2, which is expressed specifically in the condyle and in the disk of the developing TMJ. We found that mice deficient in Gli2 display aberrant TMJ development such that the condyle loses its growth plate-like cellular organization and no disk is formed. In addition, we utilized a conditional strategy to remove activity of the Hh co-receptor encoded by Smo from chondrocyte progenitors. This cell autonomous loss of Hh signaling allows for disk formation, but the resulting structure fails to separate from the condyle. Thus, these experiments establish that Hh signaling acts at two distinct steps in disk morphogenesis, condyle initiation and disk-condyle separation, and provide a molecular framework for future studies of the TMJ.
Temporomandibular joint formation requires two distinct hedgehog-dependent steps.
Specimen part
View SamplesmiR-155 has recently emerged as an important promoter of antitumor immunity through its functions in T lymphocytes. However, the impact of T cell expressed miR-155 on immune cell dynamics in solid tumors remains unclear. In the present study, we used single-cell RNA-sequencing to define the CD45+ immune cell populations within B16F10 murine melanoma tumors growing in either wild-type (WT) or miR-155 T cell conditional knockout (TCKO) mice at different timepoints. miR-155 was required for optimal T cell activation and reinforced the T cell response at the expense of infiltrating myeloid cells. Further, myeloid cells from tumors growing in TCKO mice were defined by an increase in wound healing genes and a decreased IFNg response gene signature. Finally, we found that miR-155 expression predicted a favorable outcome in human melanoma patients and was associated with a strong immune signature. Moreover, gene expression and histological analysis of the Cancer Genome Atlas (TCGA) data revealed that miR-155 expression also correlates with an immune-enriched subtype in 29 other human solid tumor types. Together, our study provides an unprecedented analysis of the cell types and gene expression signatures by immune cells within experimental melanoma tumors and elucidates miR-155's role in coordinating this dynamic response. Overall design: B16F10 murine melanoma cells expressing ovalbumin model antigen were injected subcutaneously (1e6) into wild-type (C57BL/6) and miR-155 T cell conditional knockout mice (n>4). 9 or 12 days after injection, tumors were pooled in each group, and DAPI(-)CD45(+) live tumor infiltrating immune cells were sorted via flow cytometry. Sorted immune cells were processed for single-cell RNA-sequencing via 10x platform.
MicroRNA-155 coordinates the immunological landscape within murine melanoma and correlates with immunity in human cancers.
Specimen part, Cell line, Subject, Time
View SamplesTwo 96-well plates per genotype wild type and Myd88 knockout, 4 hour time series in 0.5 hr increments Overall design: Myd88 BMDM transcriptional profiling to complement TF-seq data
Simultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.
Sex, Age, Specimen part, Cell line, Treatment, Subject, Time
View Samples