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http://tulane.edu/som/regenmed/services/index.cfm
The Stem Cell Research and Regenerative Medicine''s Tissue Culture Core provides cells for research use within the department, as well as for distribution to other facilities. The core obtains hMSCs from bone marrow donor samples and expands these cells for research use. The hMSC''s are also characterized for bone, fat and cartilage differentiation, and are stored on site for use. The Tissue Culture Core also handles the expansion and characterization of mouse and rat MSC''s. The animal cells are cultured in a separate area, and never interact with human derived cells. We also have a supply of hMSC''s marked with GFP+, Mito Red and Mito Blue available.
Proper citation: Tulane Stem Cell Research and Regenerative Medicine Tissue Culture Core (RRID:SCR_007342) Copy
http://ccr.coriell.org/Sections/Collections/CSCB/Default.aspx
Biospecimen repository that provides scientists with the opportunity to bank their pluripotent stem cell lines and develops in-house induced pluripotent stem cell (iPSC) lines for distribution. They have developed core capabilities to maintain, characterize, bank, and distribute important stem cell resources. The SCB performs extensive identification and characterization testing for all submitted human induced pluripotent stem cell (iPSC) and mouse embryonic stem cell (mES) lines. The identification and quality control measures include karyotype analysis, microsatellite analysis for parental cell line identity matching, sterility testing, and assessment of viability after cryopreservation. Pluripotency characterizations performed by SCB vary depending upon the distributing repository. * NIGMS iPSCs: Surface antigen expression, Embryoid body formation, Pluritest Gene Expression assay * NINDS iPSCs: Surface antigen expression, Embryoid body formation * NIA mES: Surface antigen expression, Embryoid body formation, Transgene induction Each characterized human iPSC line and mES line released for distribution is provided with a Certificate of Analysis, which includes information regarding characterization and quality of the line, images and links to original publications. The human iPSCs distributed by Coriell are strictly for research purposes and cannot be used in human subjects. All terms described in the Material Transfer Agreement (NIGMS and NINDS Repositories) or Assurance Form (NIA Repository) for the stem cell line must be agreed to prior to using stem cell lines from Coriell.
Proper citation: Coriell Institute Stem Cell Biobank (RRID:SCR_008745) Copy
http://www.nitrc.org/projects/namicdtifiber/
Project hosting binary packaged distributions, scripts, example datasets, and corresponding results of analysis using their UNC/Utah NAMIC DTI Fiber Analysis Framework. This project can be seens as a master project encompassing several current NITRC projects into a coherent set. Their workflow utilizes tools already available on NITRC including: * DTIPrep * DTIAtlasBuilder * FiberViewerLight * DTIAtlasFiberAnalyzer * FADTTS
Proper citation: UNC/Utah NAMIC DTI Fiber Analysis Framework (RRID:SCR_009615) Copy
http://narayanahospitals.com/cellsofhope/
Narayana Hrudayalaya Tissue Bank and Stem Cell Research Center (NHTB-SCRC) is a joint venture between Rotary Bangalore Health City (RBHC) and Narayana Hrudayalaya. Our mission is to create awareness on Cord Blood Banking among the masses. Our vision is to make sure that every pregnant mother in India is able to afford to bank her child''s cord blood and cord tissue in a novel form of ������??Biological Insurance������??. The center would also assist in research and development of newer stem cell therapies. These goals are met while ensuring patient safety and well being by maintaining compliance with ICMR guidelines, Good Manufacturing Practice (GMP) guidelines, strict confidentiality and adherence to ethical standards. The private cord blood bank would store cord-blood and cord tissue derived stem cells for the exclusive use of clients who would pay for the cryo-storage, for a period of 21 years. These samples would be used for the child or its siblings anytime in the future, for therapy of various medical conditions. The public cord blood bank would enable us to collect cord blood from delivery and birthing centers, process these specimens, type their HLA signature and store them in ultra-low temperature conditions for use on prospective recipients. These recipients would have to be matched against their HLA signature with the stored stem cell concentrate. Patients with a disease treatable by stem cell therapy would have to have their HLA type known and they approach us for treatment. Such patients would be matched against our library of samples to identify a suitable match which would then be issued at a nominal cost. The cost of therapy would however be separate and informed to the patient before embarking on the treatment.
Proper citation: Narayana Hrudayalaya Tissue Bank and Stem Cell Research Center (RRID:SCR_010680) Copy
BioBancUSA is a leading biotechnology company specializing in white blood cell collection, processing, cryopreservation and storage service. BioBancUSA, a private company headquartered in Monterey, California, is the exclusive licensee of the original patent for the collection, processing and cryopreservation technology of white blood cells, giving you the assurance of both technical integrity and legal legitimacy that you can count on. BioBancUSA is dedicated to providing our clients with the highest quality immune cell preservation for their future medical use. We are committed to the most advanced technology, exceptional, personalized service and leading-edge innovation to benefit our customers, health care providers, shareholders and employees.
Proper citation: Biobanc USA (RRID:SCR_010622) Copy
RUCDR is a biobank and a service organization that maintains human blood, serum, saliva, tissue and the genetic products derived from those. Services include technical consultation and logistical support for biobanking. Researchers can order biomaterials and apply for phenotypic / genotypic data.
Proper citation: Rutgers Cell and DNA Repository (RRID:SCR_010624) Copy
International biobank storing whole blood and DNA from 200,000 individuals, serum and plasma samples from more than 100,000 individuals as well as urine, RNA tubes, cells, buffy coat and Na-heparin tubes for environmental analysis for as many as 50,000 individuals. All bio-specimens from the HUNT surveys are collected, processed and stored at the HUNT Biobank in Levanger. The National CONOR Biobank is located on the same site, where it serves as a central research repository for DNA samples from all the largest Norwegian health surveys. These make up the Cohorts of Norway (CONOR), which include samples from more than 200,000 individuals. * HUNT 1 was carried out in 1984-1986 to establish the health history of 75,000 people. * HUNT 2, carried out in 1995-1997, focused on the evolution of the health history of 74,000 people. This included blood sample collection from 65,000 people. The data that accompany biospecimens in the biobank are stored in secured computer systems that run complex database management and analysis software. * HUNT 3 was completed in June 2008. 93,210 people were invited to participate in the study, and as of the 6th of June, 2008, 48,289 people participated (52% participation rate). The data, collected by means of questionnaires, interviews, clinical examinations and collection of blood and urine samples, will be ready for analysis in January 2009. * Young-HUNT is the adolescent part of HUNT including participants aged 13-19 years. Young-HUNT1 (1995-97) was conducted as part of HUNT2, 9141 adolescents participated (90% response rate). Young-HUNT2 (2000-01) was a follow-up study of Young-HUNT1, 2400 students participated in both studies (77% of the invited). Young-HUNT3 (2006-08) was a new cross-sectional study as part of HUNT3. This time 8677 adolescents participated (87% response rate). Data collection included self-reported questionnaires, structured interviews, clinical measurements and, in Young-HUNT3, buccal smears. All institutions with research expertise can apply for access to analyze HUNT data. Projects must have recommendations from The Regional Committee for Medical Research in Norway (REK) and be registered with The Norwegian Social Science Data Services (NSD).
Proper citation: Hunt Biobank (RRID:SCR_010626) Copy
http://mayoresearch.mayo.edu/mitochondrial-disease-biobank/
A biobank of blood and tissue samples from patients with known and suspected mitochondrial diseases along with data from their families. Samples are used in research to understand the family of mitochondrial disorders such as Alpers' syndrome, encephalopathy, and Friedrieich's ataxia, among many others. The goal of the biobank is to advance the understanding of mitochondrial disease and improve patient care.
Proper citation: Mayo Mitochondrial Disease Biobank (RRID:SCR_010598) Copy
http://www.nih.gov/science/models/rat/
The Rat Genome Program was launched after the National Institutes of Health (NIH) realized the potential of rat models in understanding basic biology and human health and disease. The purpose of this NIH Rat Genomics and Genetics web site is to serve as a central point for information on NIH sponsored and related rat genetic and genomic activities and resources. It will provide information on: the follow up to recommendations made to the NIH; funding opportunities for rat genomic and genetic tools and resources; major rat genomic resources available and/or produced in response to the NIH Rat Program; courses and meetings related to rat genomics and genetics; and selected reports and publications. These programs have produced a wide variety of resources and a way to link and capitalize upon the data and resources of other model organisms and the human. In conjunction with and in addition to these programs, the NIH, through the RGWG, has convened advisory groups and workshops to discuss the opportunities that rat models offer and provide recommendations on the investments that are needed to capitalize on these opportunities.
Proper citation: NIH Rat Genomics and Genetics (RRID:SCR_002267) Copy
http://sarst.life.nthu.edu.tw/cpdb/
A database of circular permutation (CP) in proteins that provides resources for studying circular permutation (CP) and circular permutation relationships among protein structures. This site also offers viable CP site predictions in order to facilitate the application of CP in academic researches and biotechnological developments.
Proper citation: CPDB - the Circular Permutation Database (RRID:SCR_002261) Copy
http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/
Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats.
Some key features of COSMIC are:
* Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types.
* Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines.
Proper citation: COSMIC - Catalogue Of Somatic Mutations In Cancer (RRID:SCR_002260) Copy
Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB.
Proper citation: UniProt (RRID:SCR_002380) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 26, 2011. Neurons are characterized in terms of their morphological, physiological and gene expression profiles. Synaptic connections are characterized in terms of their physiological and anatomical profiles. Neuron morphology profiles are obtained from detailed morphometric breakdown of 3D reconstructed neurons (m-Profiles), neuron physiology profiles are obtained from detailed measurement of the electrophysiological responses to a series of stimulus protocols (e-Profiles), and neuron gene expression profiles are obtained from single cell RT-PCR data (g-Profiles) and in the near future from gene-chips. Synaptic connections are characterized by the identity of the pre and postsynaptic neurons (sn-Profile), the anatomy of synaptic connections as characterized by the axonal and dendritic location of light microscopically identified putative synapses (sm-Profile), and the physiology of synaptic connections as characterized by a profile of electrophysiological parameters obtained from a series of stimulation protocols applied to the presynaptic neuron (se-Profile).
Proper citation: Neocortical Microcircuit Database (RRID:SCR_002415) Copy
http://www.ebi.ac.uk/swissprot/hpi/hpi.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 03, 2011. IT HAS BEEN REPLACED BY A NEW UniProtKB/Swiss-Prot ANNOTATION PROGRAM CALLED UniProt Chordata protein annotation program. The Human Proteome Initiative (HPI) aims to annotate all known human protein sequences, as well as their orthologous sequences in other mammals, according to the quality standards of UniProtKB/Swiss-Prot. In addition to accurate sequences, we strive to provide, for each protein, a wealth of information that includes the description of its function, domain structure, subcellular location, similarities to other proteins, etc. Although as complete as currently possible, the human protein set they provide is still imperfect, it will have to be reviewed and updated with future research results. They will also create entries for newly discovered human proteins, increase the number of splice variants, explore the full range of post-translational modifications (PTMs) and continue to build a comprehensive view of protein variation in the human population. The availability of the human genome sequence has enabled the exploration and exploitation of the human genome and proteome to begin. Research has now focused on the annotation of the genome and in particular of the proteome. With expert annotation extracted from the literature by biologists as the foundation, it has been possible to expand into the areas of data mining and automatic annotation. With further development and integration of pattern recognition methods and the application of alignments clustering, proteome analysis can now be provided in a meaningful way. These various approaches have been integrated to attach, extract and combine as much relevant information as possible to the proteome. This resource should be valuable to users from both research and industry. We maintain a file containing all human UniProtKB/Swiss-Prot entries. This file is updated at every biweekly release of UniProt and can be downloaded by FTP download, HTTP download or by using a mirroring program which automatically retrieves the file at regular intervals.
Proper citation: Human Proteomics Initiative (RRID:SCR_002373) Copy
International Committee on Taxonomy of Viruses (ICTV) is charged by the Virology Division of the International Union of Microbiological Societies (IUMS) with developing, refining, and maintaining the official, universal taxonomy of all viruses. The goal is to classify and name all known viruses into a single taxonomy that reflects their evolutionary relationships. It provides a variety of resources in support of that goal including online and downloadable versions of current and historical releases of the virus taxonomy.
Proper citation: International Committee on Taxonomy of Viruses (RRID:SCR_002377) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4,2023.The Human Gene and Protein Database presents SDS-PAGE patterns and other informations of human genes and proteins. The HGPD was constructed from full-length cDNAs. For conversion to Gateway entry clones, we first determined an open reading frame (ORF) region in each cDNA meeting the criteria. Those ORF regions were PCR-amplified utilizing selected resource cDNAs as templates. All the details of the construction and utilization of entry clones will be published elsewhere. Amino acid and nucleotide sequences of an ORF for each cDNA and sequence differences of Gateway entry clones from source cDNAs are presented in the GW: Gateway Summary window. Utilizing those clones with a very efficient cell-free protein synthesis system featuring wheat germ, we have produced a large number of human proteins in vitro. Expressed proteins were detected in almost all cases. Proteins in both total and supernatant fractions are shown in the PE: Protein Expression window. In addition, we have also successfully expressed proteins in HeLa cells and determined subcellular localizations of human proteins. These biological data are presented on the frame of cDNA clusters in the Human Gene and Protein Database. To build the basic frame of HGPD, sequences of FLJ full-length cDNAs and others deposited in public databases (Human ESTs, RefSeq, Ensembl, MGC, etc.) are assembled onto the genome sequences (NCBI Build 35 (UCSC hg17)). The majority of analysis data for cDNA sequences in HGPD are shared with the FLJ Human cDNA Database (http://flj.hinv.jp/) constructed as a human cDNA sequence analysis database focusing on mRNA varieties caused by variations in transcription start site (TSS) and splicing.
Proper citation: Human Gene and Protein Database (HGPD) (RRID:SCR_002889) Copy
Bibliographic database that brings together free, full-text scholarly articles from hundreds of universities and colleges worldwide. Curated by university librarians and their supporting institutions, the Network includes a growing collection of peer-reviewed journal articles, book chapters, dissertations, working papers, conference proceedings, and other original scholarly work. A central discipline wheel features ten color-coded disciplines: law, social and behavioral sciences, arts and humanities, life sciences, physical sciences and mathematics, education, engineering, medicine and health sciences, business, and architecture. The size of each color-coded area reflects the size of each discipline's collection relative to the rest of DCN. Users can click on any segment of any layer of the wheel, with the selected discipline, subdiscipline, or subject navigating users to their chosen commons area where they can then proceed to a list of full-text PDFs. To be clear, typing a couple of keywords into the Search Entire Network box, also located on the homepage, might be a more efficient method than mousing around on this graphical browsing element. If you would like to contribute your institution's research to the Digital Commons Network, Use the form provided, http://network.bepress.com/about/
Proper citation: Digital Commons Network (RRID:SCR_002646) Copy
https://simtk.org/home/nmblmodels
The goal of the neuromuscular models library is to provide a resource for students, researchers, and clinicians to access, use, test, and develop models. The majority of models in this library are for use with OpenSIM and/or SIMM. Users who contribute models to the database can set up a project page where they can track who is using the model and contact with them.
Proper citation: Neuromuscular Models Library (RRID:SCR_002682) Copy
http://bioinfo.au.tsinghua.edu.cn/dbRES/
dbRES is a web-oriented comprehensive database for RNA Editing Site. dbRES contain only experimental validated RNA Editing Site. All the data in dbRES was manually collected from literatures reporting related experiment result or the GeneBank database. dbRES now contains all together 5437 RNA edit site data. dbRES covers altogether 95 organisms from 251 transcripts. RNA editing is a post-transcriptional modification of RNA and markedly increases the complexity of the transcriptome. RNA editing occurs in the nucleus, as well as in mitochondria and plastids. To date such changes have been observed in prokaryotes, plants, animals and virus. The diversity of this widespread phenomenon includes nucleoside modifications, nucleotide additions and insertions, either in coding or non-coding sequences of RNA, which can occur concomitantly with transcription and splicing processes.
Proper citation: dbRES: A web-oriented database for annotated RNA Editing Site (RRID:SCR_002322) Copy
http://bibiserv.techfak.uni-bielefeld.de/agt-sdp/
Database providing automatic test cases for protein-protein docking. A consensus-type approach is proposed processing the whole PDB and classifying protein structures into complexes and unbound proteins by combining information from three different approaches. Out of this classification test cases are generated automatically. All calculations were run on the database. The information stored is available via a web interface. The user can choose several criteria for generating his own subset out of the test cases, e.g. for testing docking algorithms. In unbound protein--protein docking, the complex of two proteins is predicted using the unbound conformations of the proteins (Halperin et al.,2002). For testing of docking algorithms, two unbound proteins which form a known complex have to be identified, so that the result of the docking algorithm can be compared to the known complex. For the identification of test cases, the structures taken from the PDB have to be classified as unbound proteins or complexes and unbound proteins with a 100% sequence identity to one complex part have to be searched. By now, most groups use handpicked test sets. The largest collection of test cases used so far is described by Chen et al. (Chen et al.,2003) and contains 31 test cases for unbound docking. Because of the exponential growth of available protein structures in the PDB, automatic generation of test cases will become more and more important in the future.
Proper citation: Automatic Generated Test-Sets Database for Protein-Protein Docking (RRID:SCR_002281) Copy
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