We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Wildtype F1 hybrid mouse strain between female C57BL/6JRj and male CBA/JRj (from Janvier Labs)
PD-L1 antibody LS-C338364 is an unconjugated mouse monoclonal antibody to human PD-L1 (CD274 / B7-H1). Validated for IF and WB.
Tool/Resource Public Description *
A large-scale fMRI dataset conducted at ultra-high-field (7T) strength at the Center of Magnetic Resonance Research (CMRR) at the University of Minnesota. The dataset consists of whole-brain, high-resolution (1.8-mm isotropic, 1.6-s sampling rate) fMRI measurements of 8 healthy adult subjects while they viewed thousands of color natural scenes over the course of 30–40 scan sessions. While viewing these images, subjects were engaged in a continuous recognition task in which they reported whether they had seen each given image at any point in the experiment. These data constitute a massive benchmark dataset for computational models of visual representation and cognition, and can support a wide range of scientific inquiry.
The kit is a sandwich enzyme immunoassay for in vitro quantitative measurement of FGF23 in human serum, plasma, tissue homogenates, cell lysates, cell culture supernates and other biological fluids.
This model will use CRISPR/Cas9 technology to edit the Trem1 gene.
The Korean Genome and Epidemiology Study (KoGES) is a large prospective cohort study aimed at investigating the genetic and environmental risk factors of major chronic diseases in Korea. As of November 2017, epidemiological data of more than 23 million participants are available for researchers. Researchers who want to access the KoGES data may do so via the online data sharing service available at http://cdc.go.kr/CDC/ or http://nih.go.kr/NIH_NEW. After submitting institutional review board approval documentation, research proposal and a list of requested variables, researchers can download the data within 7 days. In addition, researchers who want to use genomic data and/or biospecimens, together with epidemiological data may do so via the one stop portal services of Korea Biobank Network (KBN) available at http:// koreabiobank.re.kr The Korean Genome Epidemiology Study (KoGES) is a principal cohort study providing valuable evidence for the prevention of major chronic diseases such as hypertension, obesity, and diabetes in Korea Cohort Profile: The Korean Genome and Epidemiology Study (KoGES). Consortium https://doi.org/10.1093/ije/dyv316 waiting for the submitter insufficinet information Cohort Profile: The Korean Genome and Epidemiology Study (KoGES) Consortium