Project description:This series includes a 32-array training dataset used to evaluate E-Predict normalization and similarity metric parameters as well as 13 microarrays used as examples in (Urisman, et. al 2005). Training data set includes 15 independent HeLa RNAhybridizations (microarrays 1-15), 10 independent nasal lavage samples positive for Respiratory Syncytial virus (microarrays 16-25), and 7 independent nasal lavage samples positive for Influenza A virus (microarrays 26-32). Examples iclude a serum sample positive for Hepatitis B virus (microarray 33), a nasal lavage sample positive for both Influenza A virus and Respiratory Syncytial virus (microarray 34), and culture samples of 11 distinct Human Rhinovirus serotypes (microarrays 35-45). Keywords = virus detection, E-Predict, species identification, metagenomics Keywords: other
Project description:Gene expression training data set from rat blood samples exposed to either 150, 1500 or 2500 mg/kg of APAP for 6, 12 or 24 hours. Keywords: Dose response, Time course, Microarray, Gene expression
Project description:This series includes a 32-array training dataset used to evaluate E-Predict normalization and similarity metric parameters as well as 13 microarrays used as examples in (Urisman, et. al 2005). Training data set includes 15 independent HeLa RNAhybridizations (microarrays 1-15), 10 independent nasal lavage samples positive for Respiratory Syncytial virus (microarrays 16-25), and 7 independent nasal lavage samples positive for Influenza A virus (microarrays 26-32). Examples iclude a serum sample positive for Hepatitis B virus (microarray 33), a nasal lavage sample positive for both Influenza A virus and Respiratory Syncytial virus (microarray 34), and culture samples of 11 distinct Human Rhinovirus serotypes (microarrays 35-45). Keywords = virus detection, E-Predict, species identification, metagenomics
Project description:A benchmark set of bottom-up proteomics data for training deep learning networks. It has data from 51 organisms and includes nearly 1 million peptides.
Project description:Deciphering cis-regulatory logic underlying cell type identity is a fundamental question in biology. Single-cell chromatin accessibility (scATAC-seq) data has enabled training of sequence-to-function deep learning models allowing decoding of enhancer logic and design of synthetic enhancers. Training such models requires large amounts of high-quality training data across species, organs, development, aging, and disease. To facilitate the cost-effective generation of large scATAC-seq atlases for model training, we developed a new version of the open-source microfluidic system HyDrop with increased sensitivity and scale: HyDrop v2. We generated HyDrop-v2 atlases for the mouse cortex and Drosophila embryo development and compared them to atlases generated on commercial platforms. HyDrop-v2 data integrates seamlessly with commercially available chromatin accessibility methods (10x Genomics). Differentially accessible regions and motif enrichment across cell types are equivalent between HyDrop-v2 and 10x atlases. Sequence-to-function models trained on either atlas are comparable as well in terms of enhancer predictions, sequence explainability, and transcription factor footprinting. By offering accessible data generation, enhancer models trained on HyDrop-v2 and mixed atlases can contribute to unraveling cell-type specific regulatory elements in health and disease.
Project description:The goal of the endurance exercise training study in young adult rats was to perform exercise training studies in young adult (6-month-old) F344 rats, and from these rats collect multiple tissues in order to provide high quality samples for detailed analysis by chemical analysis sites. Tissues were collected from 10-12 rats sedentary control rats concurrent with the collection of the 8-week training groups. The 8-week training group and controls were from the same cohort and same age at euthanasia. For the older age group, an additional set of controls (n=5-6) were collected with the 1-2 week training group. Rats were either sedentary or underwent an exercise training program. Rats were exercised on the rodent treadmill 5 days per week using a progressive training protocol designed to exercise the rats at approximately 70% of VO2max and training was performed no earlier than 10:00 am and no later than 5:00 pm over 5 consecutive days per week. Training was initiated with the treadmill set at 70% of VO2 max and 5 degrees grade for 20 minutes. The duration of exercise was increased by one minute each day until day 31 of training (start of week 7), when a duration of 50 min was reached. Speed and grade of each training session increased in larger increments due to treadmill parameters. The highest intensity and duration of training began on day 31. This intensity was maintained for the final 10 days of the protocol to ensure steady state had been achieved. If any rats were unable to perform at least 4 days of training per week they were removed from the study and euthanized. It is important to note that the starting treadmill speed varied depending on the sex and age of the rat. The initial and maximum speeds were based on VO2max measurements obtained during the pre-training testing of the compliant rats. Rats assigned to the control group followed a schedule similar to the training group. They were placed in one lane on the treadmill for 15 minutes/day, 5 days per week. The treadmill was set at 0 m/min at an incline that corresponded to the incline being used by the training group.
Project description:Bees were trained to visit food sources at different times of day. By collecting bees just before the training times, we were able to analyze the genes that are associated with the time of day, the time of training, the activity state, or genes associated with unique spatiotemporal memories
Project description:Training and priming of innate immune cells involve preconditioning by PAMPs, DAMPs and/or cytokines that elicits stronger induction of inflammatory genes upon secondary challenge. Previous models distinguish training and priming based upon whether immune activation returns to baseline prior to secondary challenge. Tolerance is a protective mechanism whereby potent stimuli induce refractoriness to secondary challenge. Training and priming are important for innate memory responses that protect against infection, efficacy of vaccines, and maintaining innate immune cells in a state of readiness; tolerance prevents toxicity from excessive immune activation. Dysregulation of these processes can contribute to pathogenesis of autoimmune/inflammatory conditions, post-COVID-19 hyperinflammatory states, or sepsis- associated immunoparalysis. Training, priming and tolerance regulate similar ‘signature’ inflammatory genes such as TNF, IL6 and IL1B and utilize overlapping epigenetic mechanisms. We review how interferons (IFNs), best known for activating Jak-STAT signaling and interferon- stimulated genes, also play a key role regulating training, priming and tolerance via chromatin- mediated mechanisms. We present new data on how monocyte-to-macrophage differentiation modulates IFN-g-mediated priming, changes AP-1 and CEBP activity, and attenuates superinduction of inflammatory genes. We present a ‘training-priming continuum’ model that integrates IFN-mediated priming into current concepts about training and tolerance and proposes a central role for STAT1 and IRF1.
Project description:Accounting for transcriptional features of endurance adaptations to training is important and could help elucidate the high variability in oxygen uptake (VO2) response. We aimed to identify whole-transcriptome signatures of an endurance training protocol in whole-blood (leukocytes), PBMCs and skeletal muscle tissue of the same group of individuals in a controlled environment.