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http://sideeffects.embl.de/

Database containing information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug-target relations. The SIDER Side Effect Resource represents an effort to aggregate dispersed public information on side effects. To our knowledge, no such resource exist in machine-readable form despite the importance of research on drugs and their effects. The creation of this resource was motivated by the many requests for data that we received related to our paper (Campillos, Kuhn et al., Science, 2008, 321(5886):263-6.) on the utilization of side effects for drug target prediction. Inclusion of side effects as readouts for drug treatment should have many applications and we hope to be able to enhance the respective research with this resource. You may browse the drugs by name, browse the side effects by name, download the current version of SIDER, or use the search interface.

Proper citation: SIDER (RRID:SCR_004321) Copy   

•   Source: SciCrunch Registry

http://toc.lbg.ac.at/en/research-program/project-tumor-bank

As a basis for the experimental cluster projects, and for further future projects a collection of various biological specimens of cancer patients shall be established. All participating Ludwig Boltzmann Institutes (LBIs) are supplying biological specimens from tumor patients and clinical documentation. At the LBI for Gynecology and Gynecologic Oncology a tumor bank for biological specimens from gynecologic cancer patients already exists. All the procedures for sample processing and storage are well established. Existing equipment for storing tissue specimens at -196 degrees C can be used. Materials from the following malignant diseases are collected: Breast cancer Colorectal cancer Neuroendocrine tumors (NET) (Small cell lung cancer (SCLC) and Carcinoid tumors) Types of biological materials: Tissue (fresh frozen) Bone marrow Blood (serum/plasma/cell fractions) Pleural effusions Ascitic fluids Sputum Bronchial lavage Stool The biological specimens are initially processed at the respective LBIs or at their connected lab facilities. Enrichment of blood samples for disseminated tumor cells is done at the LBI for Gynecology and Gynecologic oncology. Long time storage of all materials is done at appropriate temperatures at the same institution. This LBI also coordinates the logistics. All relevant sample-specific and clinical data are surveyed at the respective LBIs and stored centralized in an on-line data bank in anonymized form, respecting all relevant regulations on data protection and security.

Proper citation: Ludwig Boltzman Tumour Bank (RRID:SCR_004322) Copy   

•   Source: SciCrunch Registry

http://www.promptprostate.com/

The MRC and Cancer Funders'' Forum (now National Cancer Research Institute, NCRI) established two cancer collaboratives in 2002, ProMPT and the Southern Collaborative. Their purpose was to increase the critical mass of basic and translational cancer researchers working on prostate cancer. The Collaboratives have both been successful in raising external grant income over the past 5 or 6 years and the current funding is very much geared around infrastructure to help with bio-marker development. This includes the establishment of biorepositories and tissue collections together with appropriate epidemiological and clinical information. The ProMPT collaborative is organized by Professor David Neal, Chair of Surgical Oncology in Cambridge. The other institutions include the Universities of Bristol, Manchester, Newcastle upon Tyne, Sheffield and York. The collaborative is very much working on translational aspects of prostate cancer research and has available to it a wide range of models. The Bristol group is working on epidemiological aspects and IGF, the Manchester group is working on stem cells, the Newcastle group is focused on target identification and validation and new drug development. Sheffield is working on model systems, bone metastasis and angiogenesis, York''s expertise is stem cells, structural biology and prostate specific gene targeting., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ProMPT - Prostate Cancer Mechanisms of Progression and Treatment (RRID:SCR_004160) Copy   

•   Source: SciCrunch Registry

http://www.core.org/

The Center for Organ Recovery & Education (CORE) is one of 58 federally designated agencies in the United States known as a not-for-profit organ procurement organization (OPO). CORE is dedicated to promoting donation, education and research for the purpose of saving and improving the quality of life through organ, tissue and corneal transplantation. An innovative, responsive OPO, CORE plays a pivotal role between potential donors and patients awaiting transplantation. In addition to talking with families about the opportunity to donate, CORE coordinates the surgical recovery of organs, tissue and corneas, as well as the computerized matching of donated organs and placement of corneas. In 1995, CORE created the first donor card database in Pennsylvania. In 1996, the organization added tissue recovery and eye banking services to its organ recovery component. It enhanced its line of services by opening an internal laboratory in 1997, where CORE performs the necessary tests to help determine if the organs, tissue and corneas are healthy for transplantation. Since its inception more than 30 years ago, CORE has helped to provide more than 300,000 organs, tissue and corneas for transplantation. The chances for renewed health provided through CORE would not be possible without those who have said yes to donation.

Proper citation: Center for Organ Recovery and Education - CORE (RRID:SCR_004317) Copy   

•   Source: SciCrunch Registry

http://zebrafinch.brainarchitecture.org/

Atlas of high resolution Nissl stained digital images of the brain of the zebra finch, the mainstay of songbird research. The cytoarchitectural high resolution photographs and atlas presented here aim at facilitating electrode placement, connectional studies, and cytoarchitectonic analysis. This initial atlas is not in stereotaxic coordinate space. It is intended to complement the stereotaxic atlases of Akutegawa and Konishi, and that of Nixdorf and Bischof. (Akutagawa E. and Konishi M., stereotaxic atalas of the brain of zebra finch, unpublished. and Nixdorf-Bergweiler B. E. and Bischof H. J., A Stereotaxic Atlas of the Brain Of the Zebra Finch, Taeniopygia Guttata, http://www.ncbi.nlm.nih.gov.) The zebra finch has proven to be the most widely used model organism for the study of the neurological and behavioral development of birdsong. A unique strength of this research area is its integrative nature, encompassing field studies and ethologically grounded behavioral biology, as well as neurophysiological and molecular levels of analysis. The availability of dimensionally accurate and detailed atlases and photographs of the brain of male and female animals, as well as of the brain during development, can be expected to play an important role in this research program. Traditionally, atlases for the zebra finch brain have only been available in printed format, with the limitation of low image resolution of the cell stained sections. The advantages of a digital atlas over a traditional paper-based atlas are three-fold. * The digital atlas can be viewed at multiple resolutions. At low magnification, it provides an overview of brain sections and regions, while at higher magnification, it shows exquisite details of the cytoarchitectural structure. * It allows digital re-slicing of the brain. The original photographs of brain were taken in certain selected planes of section. However, the brains are seldom sliced in exactly the same plane in real experiments. Re-slicing provides a useful atlas in user-chosen planes, which are otherwise unavailable in the paper-based version. * It can be made available on the internet. High resolution histological datasets can be independently evaluated in light of new experimental anatomical, physiological and molecular studies.

Proper citation: Zebrafinch Brain Architecture Project (RRID:SCR_004277) Copy   

•   Source: SciCrunch Registry

https://abl.azdhs.gov

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.

Proper citation: Arizona Biospecimen Locator (RRID:SCR_004151) Copy   

•   Source: SciCrunch Registry

http://www.bionet.umn.edu/tpf/home.html

Procure and distribute human tissue and other biological samples in support of basic, translational, and clinical cancer research at the University of Minnesota. The TPF is a centralized resource with standardized patient consent, sample collection, processing, storage, quality control, distribution, and electronic record maintenance. Since the 1996 inception of the TPF, over 61,000 tissue samples including well-preserved samples of malignant and benign tumors, organ-matched normal tissue, and other types of diseased tissues, have been collected from surgical specimens obtained at the University of Minnesota Medical Center-Fairview (UMMC-F) University Campus. Surgical pathologists are intellectually engaged in TPF functions, providing researchers with specimen-oriented medical consultation to facilitate research productivity. Prior to surgery, TPF personnel identify and consent patients for procurement of tissue, blood, urine, saliva, and ascites fluid. Within the integrated working environment of the surgical pathology laboratory, freshly obtained tissues not needed for diagnosis are selected and provided by pathologists to TPF personnel. Tissue samples are then assigned an independent code and processed. TPF staff can also work with researchers to individualize the procurement of tissues to fit specific research needs.

Proper citation: University of Minnesota Tissue Procurement Facility (RRID:SCR_004270) Copy   

•   Source: SciCrunch Registry

http://identifiers.org/

A system providing resolvable persistent Uniform Resource Identifiers (URIs) used to identify data for the scientific community, with a current focus on the Life Sciences domain. The provision of resolvable identifiers (URLs) fits well with the Semantic Web vision, and the Linked Data initiative. It provides direct access to the identified data using one chosen physical location (or resource). If more than one physical locations providing the data are recorded in the Registry, then you can access them via the top banner or by using a profile.

Proper citation: Identifiers.org (RRID:SCR_003735) Copy   

•   Source: SciCrunch Registry

http://www.ataxia.org/research/ataxia-tissue-donation.aspx

A website where users can find information on donating tissue for ataxia research.

Proper citation: NAF Ataxia Tissue Donation (RRID:SCR_003893) Copy   

•   Source: SciCrunch Registry

http://exac.broadinstitute.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. An aggregated data platform for genome sequencing data created by a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The data set provided on this website spans 61,486 unrelated individuals sequenced as part of various disease-specific and population genetic studies. They have removed individuals affected by severe pediatric disease, so this data set should serve as a useful reference set of allele frequencies for severe disease studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects. They ask that you not publish global (genome-wide) analyses of these data until after the ExAC flagship paper has been published, estimated to be in early 2015. If you''re uncertain which category your analyses fall into, please email them. The aggregation and release of summary data from the exomes collected by the Exome Aggregation Consortium has been approved by the Partners IRB (protocol 2013P001477, Genomic approaches to gene discovery in rare neuromuscular diseases).

Proper citation: ExAc (RRID:SCR_004068) Copy   

•   Source: SciCrunch Registry

http://www.uab.edu/medicine/tcbf/tpsf-sidebar

The Tissue Procurement Shared Facility (TPSF) of the Comprehensive Cancer Center operates as a prospective service to collect, from UAB associated hospitals, normal, malignant, benign, and diseased fresh human tissues and fluids which are then preserved appropriate to protocol. The TPSF can provide normal, malignant, benign, or diseased remnant human tissues and/or fluids from surgical resections, autopsies, or clinical procedures for IRB-approved researchers. The preservation can include fresh storage in media or saline, snap-frozen storage in liquid nitrogen, freezing in OCT for frozen section preparation, or preservation in a fixative of choice. The TPSF can also provide procurement of control tissues including uninvolved tissues or matched tissues from patients with benign disease processes. The histology laboratory can provide paraffin blocks and/or stained or unstained slides. In addition, investigators can obtain access to rare tissues through the national Cooperative Human Tissue Network (CHTN). Although the facility operates as a prospective service specializing in the preparation of samples to protocol, limited banked frozen and paraffin-embedded samples may be available. Investigators are required to complete an application and provide a copy of their IRB approval as well as a brief description of the project for which the requested samples will be utilized. Samples are provided for research purposes only. Processing fees are to offset processing costs and should be included in all grant applications.

Proper citation: UAB Comprehensive Cancer Center Tissue Procurement Shared Facility (RRID:SCR_004222) Copy   

•   Source: SciCrunch Registry

http://www.nimhans.kar.nic.in/neuropathology/neuropath2.htm#brainbank

A National Facility to promote research in Neurobiology using human nervous tissues. The brain tissues collected with informed consent of close relatives within 4-24 hours following death are frozen for Biochemical, Immuno-histochemical and Molecular Biological studies. A large number of formalin fixed brain tissues from various Neurological, Neurosurgical and Psychiatric disorders are also available for study.

Proper citation: Bangalore Brain Bank (RRID:SCR_004227) Copy   

•   Source: SciCrunch Registry

http://www.umassmed.edu/iscr/

A registry of stem cell lines that provides a searchable database that includes published and validated unpublished information on human embryonic (hESC) and disease-specific induced pluripotent (iPS) stem cell lines. The Registry will include information on cell lines from non-profit institutions, academic centers, stem cell banks and industry based in the United States and abroad. The International Stem Cell Registry is developed in partnership with and funded by the Massachusetts Life Sciences Center. The work of the registry is made possible by the MLSC and important collaborators, including the Harvard Stem Cell Institute.

Proper citation: International Stem Cell Registry (RRID:SCR_003653) Copy   

•   Source: SciCrunch Registry

http://avis.princeton.edu/pixie/index.php

bioPIXIE is a general system for discovery of biological networks through integration of diverse genome-wide functional data. This novel system for biological data integration and visualization, allows you to discover interaction networks and pathways in which your gene(s) (e.g. BNI1, YFL039C) of interest participate. The system is based on a Bayesian algorithm for identification of biological networks based on integrated diverse genomic data. To start using bioPIXIE, enter your genes of interest into the search box. You can use ORF names or aliases. If you enter multiple genes, they can be separated by commas or returns. Press ''submit''. bioPIXIE uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the bioPIXIE algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. As you move the mouse over genes in the network, interactions involving these genes are highlighted. If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. You may need to download the Adobe Scalable Vector Graphic (SVG) plugin to utilize the visualization tool (you will be prompted if you need it).

Proper citation: bioPIXIE (RRID:SCR_004182) Copy   

•   Source: SciCrunch Registry

http://www.georgiacancer.org/res-tissue.php

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013.
The Georgia Cancer Specimen and Tissue Bank is committed to a safe and reliable supply of tissue and cell products for research purposes. Work has begun already to build the state tumor bank initiative with operating sites in several locations through the state. We are confident that our results will yield a strong program that will benefit all Georgians and contribute to significant advances in cancer research and knowledge.

Proper citation: Biorepository Alliance of Georgia for Oncology (RRID:SCR_004184) Copy   

•   Source: SciCrunch Registry

http://channelpedia.epfl.ch/

An information management framework for comprehensive ion channel information. It is a knowledge base system centered on genetically expressed ion channel models and it encourages researchers of the field to contribute, build and refine the information through an interactive wiki-like interface. It is web-based, freely accessible and currently contains 187 annotated ion channels with 50 Hodgkin-Huxley models (September 2014). Channelepdia provides an ideal platform to collectively build ion channel knowledge base by accommodating both structured and unstructured data. The current version of Channelpedia contains the following sections : Introduction, Genes, Ontologies, Interactions, Structure, Expression, Distribution, Function, Kinetics and Models. Newly published literature related to ion channels is automatically queried every week from PubMed and added to respective categories. Currently, Channelpedia contains ~180,000 abstracts related to ion channels from Pubmed.

Proper citation: ChannelPedia (RRID:SCR_003807) Copy   

•   Source: SciCrunch Registry

http://www.gensat.org/daily_showcase.jsp

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 19, 2012. Due to budgetary constraints, the National Center for Biotechnology Information (NCBI) has discontinued support for the NCBI GENSAT database, and it has been removed from the Entrez System. The Gene Expression Nervous System Atlas (GENSAT) project involves the large-scale creation of transgenic mouse lines expressing green fluorescent protein (GFP) reporter or Cre recombinase under control of the BAC promoter in specific neural and glial cell populations. BAC expression data for all the lines generated (over 1300 lines) are available in online, searchable databases (www.gensat.org and the Database of GENSAT BAC-Cre driver lines). If you have any specific questions, please feel free to contact us at info_at_ncbi.nlm.nih.gov The GENSAT project aims to map the expression of genes in the central nervous system of the mouse, using both in situ hybridization and transgenic mouse techniques. Search criteria include gene names, gene symbols, gene aliases and synonyms, mouse ages, and imaging protocols. Mouse ages are restricted to E10.5 (embryonic day 10.5), E15.5 (embryonic day 15.5), P7 (postnatal day 7), and Adult (adult). The project focuses on two techniques * Evaluation of unmodified mice lines for expression of a given gene using radiolabelled riboprobes and in-situ hybridization. * Creation of transgenic mice lines containing a BAC construct that expresses a marker gene in the same environment as the native gene

Proper citation: GENSAT at NCBI - Gene Expression Nervous System Atlas (RRID:SCR_003923) Copy   

•   Source: SciCrunch Registry

http://aging.ucsd.edu/news.php

A list of articles published related to aging produced by the Center for Healthy Aging, Stein Institute for Research on Aging.

Proper citation: Stein Institute for Research on Aging News (RRID:SCR_003760) Copy   

•   Source: SciCrunch Registry

http://binfo.ym.edu.tw/edu/seminars/clho/UniLib%20Unified%20Library%20Database%20Home.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 6, 2016. The Unified Library Database, or UniLib, takes a library-level view of the EST and SAGE libraries present in NCBI's dbEST, UniGene and SAGEmap resources. This database was initially developed by NCBI in order to track and annotate libraries being generated by NCI's CGAP project. The query bar of the UniLib Library browser provides the most friendly way to navigate through these libraries. When matches to the Library browser query are returned as summaries, full library records can be retrieved through the linked Record retriever.

Proper citation: UniLib (RRID:SCR_004178) Copy   

•   Source: SciCrunch Registry

http://acsr.ucsf.edu/

A biorepository for HIV-infected human biospecimens from a wide spectrum of HIV-related or associated diseases, including cancer, and from appropriate HIV-negative controls. The ACSR has formalin-fixed paraffin embedded biospecimens, fresh frozen biospecimens, malignant cell suspensions, fine needle aspirates, and cell lines from patients with HIV-related malignancies. It also contains serum, plasma, urine, bone marrow, cervical and anal specimens, saliva, semen, and multi-site autopsy speicmens from patients with HIV-related malignancies including those who have participated in clinical trials. The ACSR has an associated databank that contains prognostic, staging, outcome and treatment data on patients from whom tissues were obtained. The ACSR database contains more than 300,000 individual biospecimens with associated clinical information. Biospecimens are entered into the ACSR database by processing type, disease category, and number of cases defined by disease category.

Proper citation: AIDS and Cancer Specimen Resource (RRID:SCR_004216) Copy   

•   Source: SciCrunch Registry