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http://toxnet.nlm.nih.gov/cgi-bin/sis/htmlgen?iter
ITER is a toxicology data file on the National Library of Medicine''s (NLM) Toxicology Data Network. It contains data in support of human health risk assessments. It is compiled by Toxicology Excellence for Risk Assessment (TERA) and contains over 600 chemical records with key data from the Agency for Toxic Substances & Disease Registry (ATSDR), Health Canada, National Institute of Public Health & the Environment (RIVM) - The Netherlands, U.S. Environmental Protection Agency (EPA), and independent parties whose risk values have undergone peer review. ITER provides a comparison of international risk assessment information in a side-by-side format and explains differences in risk values derived by different organizations. ITER data, focusing on hazard identification and dose-response assessment, is extracted from each agencys assessment and contains links to the source documentation. Among the key data provided in ITER are ATSDRs minimal risk levels; Health Canadas tolerable intakes/concentrations and tumorigenic doses/concentrations; EPAs carcinogen classifications, unit risks, slope factors, oral reference doses, and inhalation reference concentrations; RIVMs maximum permissible risk levels; NSF International''s reference doses and carcinogen risk levels, IARC''s cancer classifications, and noncancer and/or cancer risk values (that have undergone peer review) derived by independent parties. Users can search by chemical or other name, chemical name fragment, or Chemical Abstracts Service Registry Number(RN), and/or subject terms. Search results can easily be viewed, printed or downloaded. Search results are displayed in relevancy ranked order. Users may select to display exact term matches, complete records, or any combination of data from the following broad groupings: -Noncancer Oral -Cancer Oral -Noncancer Inhalation -Cancer Inhalation
Proper citation: International Toxicity Estimates for Risk (RRID:SCR_008196) Copy
http://alizadehlab.stanford.edu/
This is an open-source Mouse Exonic Evidence-Based Oligonucleotide Chip (MEEBOChip), and are in the process of building the human counterpart, HEEBOChip. The set of 70mers for MEEBOChip is already available from Illumina, Inc., with synthesis of HEEBOChip 70mers in progress. Both arrays are based on a novel selection of exonic long-oligonucleotides (70-mers) from a genomic annotation of the corresponding complete genome sequences, using a transcriptome-based annotation of exon structure for each genomic locus. Using a combination of existing and custom-tailored tools and datasets (including millions of mRNA and EST sequences), we built and performed a systematic examination of transcript-supported exon structure for each genomic locus at the base-pair level (i.e., exonic evidence). This strategy allowed them to select both constitutive and in many cases alternative exons for nearly every gene in the corresponding genome (e.g., protocadherin locus), allowing an unprecedented exploration of human and mouse biology. Furthermore, they used experimentally derived data to hone the selection of these 70mers, helping maximize their performance under typical fluorescent labeling and hybridization conditions. Specifically, they applied and refined the ArrayOligoSelector algorithm from Joe DeRisis laboratory to select 70mers, considering not only their uniqueness (i.e., hybridization specificity) within the content of the entire genome, but also to overcome the known biases of labeling and hybridization methods (e.g., 3-biased reverse transcription and in vitro transcription reactions).
Proper citation: Alizadehlab: MeeboChip and HeeboChip Open Source Project (RRID:SCR_008384) Copy
The MIPS mammalian protein-protein interaction database (MPPI) is a new resource of high-quality experimental protein interaction data in mammals. The content is based on published experimental evidence that has been processed by human expert curators. It is a collection of manually curated high-quality PPI data collected from the scientific literature by expert curators. We took great care to include only data from individually performed experiments since they usually provide the most reliable evidence for physical interactions. To suit different users needs we provide a variety of interfaces to search the database: -Expert interface Simple but powerful boolean query language. -PPI search form Easy to use PPI search -Protein search Just find proteins of interest in the database Sponsors: This work is funded by a grant from the German Federal Ministry of Education and Research.
Proper citation: MIPS Mammalian Protein-Protein Interaction Database (RRID:SCR_008207) Copy
http://www.cmbi.ru.nl/GeneSeeker/
The GeneSeeker allows you to search across different databases simultaneously, given a known human genetic location and expression/phenotypic pattern. The GeneSeeker returns any found gene names which are located on the specified location and expressed in the specified tissue. To search for more expression location in one search, just enter them in the textbox for the expression location and separate them with logical operators (and, or, not). You can specify as many tissues as you want, the program starts 20 queries simultaneously, and then waits for a query to finish before starting another query, to keep server loads to a minimum. You can also search only for expression, just leave the cytogenetic location fields blank, and do the query. If you only want to look for one cytogenetic location, only fill in the first location field, and the GeneSeeker will search with only this one. Housekeeping genes , found in Swissprot can be excluded, or genes that are to be excluded can be specified. Human chromosome localizations are translated with an oxford-grid to mouse chromosome localizations, and then submitted to the Mgd. Sponsors: GeneSeeker is a service provided by the Centre for Molecular and Biomolecular Informatics (CMBI).
Proper citation: GeneSeeker (RRID:SCR_008347) Copy
http://mips.gsf.de/services/genomes/uwe25/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. This is the official database of the environmental chlamydia genome project. This resource provides access to finished sequence for Parachlamydia-related symbiont UWE25 and to a wide range of manual annotations, automatical analyses and derived datasets. Functional classification and description has been manually annotated according to the Annotation guidelines. Chlamydiae are the major cause of preventable blindness and sexually transmitted disease. Genome analysis of a chlamydia-related symbiont of free-living amoebae revealed that it is twice as large as any of the pathogenic chlamydiae and had few signs of recent lateral gene acquisition. We showed that about 700 million years ago the last common ancestor of pathogenic and symbiotic chlamydiae was already adapted to intracellular survival in early eukaryotes and contained many virulence factors found in modern pathogenic chlamydiae, including a type III secretion system. Ancient chlamydiae appear to be the originators of mechanisms for the exploitation of eukaryotic cells. Environmental chlamydiae have recently been recognized as obligate endosymbionts of free-living amoebae and have been implicated as potential human pathogens. Environmental chlamydiae form a deep branching evolutionary lineage within the medically important order Chlamydiales. Despite their high diversity and ubiquitous distribution in clinical and environmental samples only limited information about genetics and ecology of these microorganisms is available. The Parachlamydia-related Acanthamoeba symbiont UWE25 was therefore selected as representative environmental chlamydia strain for whole genome sequencing. Comparative genome analysis was performed using PEDANT and simap. Sponsors: The environmental chlamydia genome project was funded by the bmb+f (German Federal Ministry of Education and Research) and is part of the Competence Network PathoGenoMiK.
Proper citation: Protochlamydia amoebophila UWE25 (RRID:SCR_008222) Copy
http://mpr.nci.nih.gov/MPR/BrowseProteins.aspx
THIS RESOURCE IS NO LONGER IN SERVICE, documented on 6/24/13. A repository of information on commercially available phospho-specific antibodies to human phosphorylation sites. It provides a BLAST search for phosphorylation sites using as query the amino acid sequence surrounding the site. It also provides direct links to the relevant antibodies from many companies including BD Pharmingen, Biosource International, Cell Signaling Technology (CST), Santa Cruz Biotechnologies, Upstate Biotechnology.
Proper citation: Mammalian Phosphorylation Resource (RRID:SCR_008210) Copy
http://www.molecularbrain.org/
MolecularBrain is an attempt to collect, collates, analyze and present the microarray derived gene expression data from various brain regions side by side. Transcription Profile of any gene in Mouse (online) and Human Brain (not yet) can be accessed as a histogram along with links to access various aspects of that gene. The expression levels were calculated from microarray data deposited at GEO (Gene expression omnibus). The molecular brain database could be searched using the built in search tool with the terms Entrez GeneID, gene symbol, synonym or description. Gene information along with their expression values can be also accessed from the alphabetical list of gene symbols on the footer. The protocol and GEO sample information is available.
Proper citation: Molecular Brain: Transcription Profiles of Mouse and Human Brains (RRID:SCR_008689) Copy
SYSTERS is a database of protein sequences grouped into homologous families and superfamilies. The SYSTERS project aims to provide a meaningful partitioning of the whole protein sequence space by a fully automatic procedure. A refined two-step algorithm assigns each protein to a family and a superfamily. The sequence data underlying SYSTERS release 4 now comprise several protein sequence databases derived from completely sequenced genomes (ENSEMBL, TAIR, SGD and GeneDB), in addition to the comprehensive Swiss-Prot/TrEMBL databases. To augment the automatically derived results, information from external databases like Pfam and Gene Ontology are added to the web server. Furthermore, users can retrieve pre-processed analyses of families like multiple alignments and phylogenetic trees. New query options comprise a batch retrieval tool for functional inference about families based on automatic keyword extraction from sequence annotations. A new access point, PhyloMatrix, allows the retrieval of phylogenetic profiles of SYSTERS families across organisms with completely sequenced genomes. Gene, Human, Vertebrate, Genome, Human ORFs
Proper citation: SYSTERS (RRID:SCR_007955) Copy
ITFP is an integrated transcription factor (TF) platform, which included abundant TFs and targets message of mammalian. Support vector machine (SVM) algorithm combined with error-correcting output coding (ECOC) algorithm was utilized to identify and classify transcription factor from protein sequence of Human, Mouse and Rat. For transcription factor targets, a reverse engineering method named ARACNE was used to derive potential interaction pairs between transcription factor and downstream regulated gene from Human, Mouse and Rat gene expression profile data. Detailed information of gene expression profile data can be found in help page. Moreover, all data provided by the platform is free for non-commercial users and can be downloaded through links on help page.
Proper citation: Intergrated Transcription Factor Platform (RRID:SCR_008119) Copy
http://www.ebi.ac.uk/asd/altsplice/index.html
AltSplice is a computer generated high quality data set of human transcript-confirmed splice patterns, alternative splice events, and the associated annotations. This data is being integrated with other data that is generated by other members of the ASD consortium. The ASD project will provide the following in its three year duration: -human curated database of alternative spliced genes and their properties -a computer generated database of alternatively spliced genes and their properties -the integration of the above and newly found knowledge in a user-friendly interface and research workbench for both bioinformaticists and biologists -DNA chips that are based on the data in the above databases -the DNA chips will be used to test against predisposition for and diagnoses of human diseases ASD aims to analyse this mechanism on a genome-wide scale by creating a database that contains all alternatively spliced exons from human, and other model species. Disease causing mutations seem to induce aberrations in the process of splicing and its regulation. The ASD consortium will develop a DNA microarray (chip) that contains cDNAs of all the splicing regulatory proteins and their isoforms, as well as a chip that contains a number of disease relevant genes. We will concentrate on three models of disease (breast cancer, FTDP-17, male infertility) in which a connection between mis-splicing and a pathological state has been observed. Finally, these chips will be developed as demonstrative kits to detect predisposition for and diagnosis of such diseases. Categories: Nucleotide Sequences: Gene Structure, Introns and Exons, & Splice Sites Databases
Proper citation: AltSplice Database of Alternative Spliced Events (RRID:SCR_008162) Copy
A database, catalog and index to the collections of the National Agricultural Library, as well as a primary public source for world-wide access to agricultural information. This database resource covers materials in all formats and periods, including printed works from as far back as the 15th century. AGRICOLA is a bibliographic database of citations to the agricultural literature created by the National Agricultural Library and its cooperators. The records describe publications and resources encompassing all aspects of agriculture and allied disciplines, including animal and veterinary sciences, entomology, plant sciences, forestry, aquaculture and fisheries, farming and farming systems, agricultural economics, extension and education, food and human nutrition, and earth and environmental sciences. Although the NAL Catalog (AGRICOLA) does not contain the text of the materials it cites, thousands of its records are linked to full-text documents online, with new links added daily. The NAL Catalog (AGRICOLA) is organized into two bibliographic data sets: *The NAL Online Public Access Catalog (AGRICOLA NAL) contains citations to books, audiovisuals, serials, and other materials, most of which are in the Library''s collection. (The Catalog does contain some records for items not held at NAL.) *The Article Citation Database (AGRICOLA IND) includes citations, many with abstracts, to journal articles (see Journals Indexed in AGRICOLA), book chapters, reports, and reprints, selected primarily from the materials found in the NAL Catalog.
Proper citation: AGRICOLA (RRID:SCR_008158) Copy
http://chromium.lovd.nl/LOVD2/home.php?select_db=CDKN2A
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The CDKN2A Database presents the germline and somatic variants of the CDKN2A tumor suppressor gene recorded in human disease through June 2003, annotated with evolutionary, structural, and functional information, in a format that allows the user to either download it or manipulate it for their purposes online. The goal is to provide a database that can be used as a resource by researchers and geneticists and that aids in the interpretation of CDKN2A missense variants. Most online mutation databases present flat files that cannot be manipulated, are often incomplete, and have varying degrees of annotation that may or may not help to interpret the data. They hope to use CDKN2A as a prototype for integrating computational and laboratory data to help interpret variants in other cancer-related genes and other single nucleotide polymorphisms (SNPs) found throughout the genome. Another goal of the lab is to interpret the functional and disease significance of missense variants in cancer susceptibility genes. Eventually, these results will be relevant to the interpretation of single nucleotide polymorphisms (SNPs) in general. The CDKN2A locus is a valuable model for assessing relationships among variation, structure, function, and disease because: Variants of this gene are associated with hereditary cancer: Familial Melanoma (and related syndromes); somatic alterations play a role in carcinogenesis; allelic variants occur whose functional consequences are unknown; reliable functional assays exist; and crystal structure is known. All variants in the database are recorded according to the nomenclature guidelines as outlined by the Human Genome Variation Society. This database is currently designed for research purposes only and is not yet recommended as a clinical resource. Many of the mutations reported here have not been tested for disease association and may represent normal, non-disease causing polymorphisms.
Proper citation: CDKN2A Database (RRID:SCR_008179) Copy
http://jbirc.jbic.or.jp/hinv/ppi/
The PPI view displays H-InvDB human protein-protein interaction (PPI) information. It is constructed by assigning interaction data to H-InvDB proteins which were originally predicted from transcriptional products generated by the H-Invitational project. The PPI view is now providing 32,198 human PPIs comprised of 9,268 H-InvDB proteins. H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, molecular evolutionary features, protein-protein interactions (PPIs) and gene families/groups. Sponsors: This research is financially supported by the Ministry of Economy, Trade and Industry of Japan (METI), the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) and the Japan Biological Informatics Consortium (JBIC). Also, this work is partly supported by the Research Grant for the RIKEN Genome Exploration Research Project from MEXT to Y.H. and the Grant for the RIKEN Frontier Research System, Functional RNA research program.
Proper citation: H-Invitational Database: Protein-Protein Interaction Viewer (RRID:SCR_008054) Copy
Knowledge graph system developed for managing and organizing rich metadata objects, initially for the Human Brain Project (HBP) and now extended to be a more generic, domain-agnostic solution. It is associated with CSCS (Swiss National Supercomputing Centre) and aims to provide a comprehensive toolset and API for working with knowledge graphs.
Proper citation: MarmotGraph (RRID:SCR_027452) Copy
https://www.crukscotlandinstitute.ac.uk/advanced-technologies/molecular-technology.html
Core provides Next Generation Sequencing (NGS) services and Single Cell services predominantly focussing on single cell RNAseq. Processes samples for variety of cancer associated projects, in both mouse and human derived materials. Offers full end-to-end service, from initial study design and planning, through sample QC, full library preparation, sequencing and data return. Offers range of standard molecular tests covering, plasmid purifications, Sanger sequencing and mycoplasma screening.
Proper citation: Cancer Research UK Scotland Institute Molecular Technology Service Core Facility (RRID:SCR_027368) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/XTRACT
Software command line tool for automated tractography. Standardised protocols for automated tractography in human and macaque brain.
Proper citation: XTRACT (RRID:SCR_024933) Copy
https://ipsc.bsd.uchicago.edu/
Core provides training to use latest episomal techniques to reprogram, expand and characterize human and mice iPS cells from skin or blood tissues of healthy subjects and diseased patients. Develops capability to differentiate iPS cells into specific somatic cells, such as neutrons, cardiomyocytes, and hepatocytes.
Proper citation: Chicago University iPSC Core Facility (RRID:SCR_017918) Copy
Core provides service support to all MIT investigators who utilize specialized in vitro cells such as stem cells, organoids, or primary cell lines and/or novel mouse models to study human diseases such as cancer. Projects involve generation of new model system, such as CRISPR-mediated gene editing in mouse to introduce mutation that mimics one found in patients. Helps with projects required optimization of finicky cell cultures and other challenges.Provides customizable set of service options to match specific needs of each project, including consultative advice and troubleshooting, complete tissue culture and microinjection services within our facilities or hands-on training to enable investigators to perfom these experiments either at their own laboratory or within our facilities.Services Include:Gene Targeting genomic modification through traditional or CRISPR/Cas9 locus targeting, assistance with targeting strategies and vector designs;Embryonic Stem Cells generation of new ES lines from mouse strains, importation and testing of lines from outside sources, differentiation of ES lines into specific cell lineages or cell types and more;Microinjection injection of mouse ES cells into blastocysts to generate chimeras and injection of DNA, RNA or CRISPR RNPs into the pronucleus of fertilized mouse eggs to generate transgenic and edited mice;Specialized Tissue Culture establishemnt of new primary cell cultures from a tumor, tissue or organ; Isolation of fibroblasts (MEFs) from mice for culture and analysis;Tissue Culture for Xenograft and Syngenic Modeling optimization, validation and testing of cell lines for orthotopic placement into mice, coordinated with Preclinical Testing Facility;Repository of Reagent Mice Commonly used wild type mice such as C57BL/6j as well as KrasG12D-based models of cancers are maintained on campus for efficient distrubution;Training and Troubleshooting for all aspects of embryonic stem cells, primary cultures, animal breeding etc.;Serum, DMEM, LIF and other media components that have been tested and verified for use with ES cells.
Proper citation: Massachusetts Institute of Technology Koch Institute Preclinical Modeling Core Facility (RRID:SCR_017899) Copy
http://www.cti.northwestern.edu/
Core is Northwestern Radiology research facility providing translational imaging capabilities that promote pre-clinical and clinical research efforts. CTI occupies space in basement of Olson building housing imaging equipment along with research staff. Services include Cardiovascular Imaging for development, analysis and application of MRI methods providing insights into structure and function of cardiovascular system,NeuroImaging for functional MRI using spectroscopy and diffusion-weighted imaging to studying human anatomy and physiology during development and disease,Small Animal Imaging for molecular and functional imaging of biological processes in living animal models to study diseases and responses to intervention.
Proper citation: Northwestern University Center for Translational Imaging Core Facility (RRID:SCR_017878) Copy
A professional and scientific society that provides leadership, education, advocacy, and resources enabling clinical pharmacists to achieve excellence in practice and research. Their membership is composed of practitioners, scientists, educators, administrators, students, residents, fellows, and others committed to excellence in clinical pharmacy and patient pharmacotherapy. The Practice and Research Networks (PRNs) represent focused interest groups of ACCP members, providing a means for clinical pharmacists with common practice and research interests to gather for professional interaction, networking, and continuing education. Activities within individual PRNs may vary depending on the interests and perceived needs of their members. All PRNs conduct educational programs within their interest areas at the ACCP Annual Meeting and the Spring Practice and Research Forum.
Proper citation: American College of Clinical Pharmacy (RRID:SCR_003957) Copy
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