- Phagocytosis and Immune Regulation
- PI3K/AKT/mTOR signaling in cancer
- Protein Degradation and Inhibitors
- Renal and related cancers
- Renal cell carcinoma treatment
- Bioinformatics and Genomic Networks
- Cell Image Analysis Techniques
- Ruminant Nutrition and Digestive Physiology
- Single-cell and spatial transcriptomics
- Pancreatic and Hepatic Oncology Research
- Monoclonal and Polyclonal Antibodies Research
- Gene Regulatory Network Analysis
- Advanced Fluorescence Microscopy Techniques
- Computational Drug Discovery Methods
- Thyroid and Parathyroid Surgery
- Genetic and phenotypic traits in livestock
- Advanced Proteomics Techniques and Applications
- Evacuation and Crowd Dynamics
- Spine and Intervertebral Disc Pathology
- Esophageal and GI Pathology
- Plant and animal studies
- Turfgrass Adaptation and Management
- Microbial Metabolic Engineering and Bioproduction
- Childhood Cancer Survivors' Quality of Life
- Plant and fungal interactions
Harvard University
2022-2024
University of Washington
2024
University of Cincinnati Medical Center
2019-2024
University of Wisconsin–Madison
1965-2022
University of Cincinnati
2017-2022
Center for Systems Biology
2022
Children's Mercy Hospital
2021
Copyright Licensing Agency
2021
Chartered Society of Physiotherapy
2020
University College London
2020
The Library of Integrated Network-based Cellular Signatures (LINCS) program is a national consortium funded by the NIH to generate diverse and extensive reference library cell-based perturbation-response signatures, along with novel data analytics tools improve our understanding human diseases at systems level. In contrast other large-scale generation efforts, LINCS Data Signature Generation Centers (DSGCs) employ wide range assay technologies cataloging cellular responses. Integration of,...
Quantifying the response of cell lines to drugs or other perturbagens is cornerstone pre-clinical drug development and pharmacogenomics as well a means study factors that contribute sensitivity resistance. In dividing cells, traditional metrics derived from dose-response curves such IC
There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses visualization do not require programming skills. Here we present iLINCS ( http://ilincs.org ), an web-based platform analysis of signatures cellular perturbations. The facilitates mining re-analysis the large collection datasets (>34,000), pre-computed (>200,000), their connections, as well user-submitted diseases workflows vast resources range analytics...
Libraries of well-annotated small molecules have many uses in chemical genetics, drug discovery, and therapeutic repurposing. Multiple libraries are available, but few data-driven approaches exist to compare them design new libraries. We describe an approach scoring creating based on binding selectivity, target coverage, induced cellular phenotypes as well structure, stage clinical development, user preference. The approach, available via the online tool http://www.smallmoleculesuite.org,...
Macroautophagy/autophagy is suppressed by MTOR (mechanistic target of rapamycin kinase) and an anticancer under active investigation. Yet, MTOR-regulated autophagy remains incompletely mapped. We used proteomic profiling to identify proteins in the MTOR-autophagy axis. Wild-type (WT) mouse cell lines lacking individual genes (Atg5 or Ulk1/Ulk2) were treated with inhibitor induce cultured media either glucose galactose. Mass spectrometry proteome revealed elevation known candidates for new...
Abstract There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses visualization do not require programming skills. Among these, iLINCS is unique in scope versatility of the provided analytics facilitated. ( http://ilincs.org ) an web-based platform analysis signatures cellular perturbations. The facilitates user-submitted diseases perturbations context large compendium pre-computed (>200,000), as well mining...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTThe Rate of Formation and the Yield Yeast in WortN. A. ClarkN. ClarkMore by N. ClarkCite this: J. Phys. Chem. 1922, 26, 1, 42–60Publication Date (Print):January 1922Publication History Published online1 May 2002Published inissue 1 January 1922https://doi.org/10.1021/j150217a003Request reuse permissionsArticle Views49Altmetric-Citations13LEARN ABOUT THESE METRICSArticle Views are COUNTER-compliant sum full text article downloads since November 2008...
Abstract High-throughput measurement of cells perturbed using libraries small molecules, gene knockouts, or different microenvironmental factors is a key step in functional genomics and pre-clinical drug discovery. However, it remains difficult to perform accurate single-cell assays 384-well plates, limiting many studies well-average measurements (e.g., CellTiter-Glo®). Here we describe public domain Dye Drop method that uses sequential density displacement microscopy multi-step on living...
Existing research primarily evaluates the values of LLMs by examining their stated inclinations towards specific values. However, "Value-Action Gap," a phenomenon rooted in environmental and social psychology, reveals discrepancies between individuals' actions real-world contexts. To what extent do exhibit similar gap informed those values? This study introduces ValueActionLens, an evaluation framework to assess alignment LLMs' value-informed actions. The encompasses generation dataset...
<p>GSEA, Kinativ</p>
<p>Tumor growth and body weight</p>
<p>Glucose flux</p>
<p>Gliomasphere drug responses</p>
Abstract Aerobic storage of hay at high moisture levels results in losses forage quality due to microbial growth. Yet, the determination safe field is difficult, and farmers also must often store above optimum order avoid inclement weather. Two experiments were conducted which propionic acid ammonium isobutyrate manually applied alfalfa‐timothy ( Medicago sativa L. ‐ Phleum pratense L.) evaluate their effectiveness preventing mold Rates preservative application for baled 31% content were: O,...
Abstract Intrinsic resistance to targeted therapeutics in PTEN-deficient glioblastoma (GBM) is mediated by redundant signaling networks that sustain critical metabolic functions. Here, we demonstrate coordinated inhibition of the ribosomal protein S6 kinase 1 (S6K1) and receptor tyrosine AXL using LY-2584702 BMS-777607 can overcome network redundancy reduce GBM tumor growth. This combination S6K1 suppressed glucose flux pyrimidine biosynthesis. Genetic inactivation studies map indicated both...