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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://purl.bioontology.org/ontology/MCCL
A comprehensive ontology on primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major domains in the field of biology like anatomy, bio-molecules, chemicals and drugs, pathological conditions and genetic variations around the cell lines. An extensive network of relations has been built across these concepts to enable different combinations of queries. The ontology covers all cell lines from major sources like ATCC, DSMZ, ECACC, ICLC etc. and is built in OWL format.
Proper citation: Cell Line Ontology by Mahadevan (RRID:SCR_010281) Copy
Two University College London (UCL) biobanks, one based at the Royal Free Hospital (RFH) Campus and the other based at Bloomsbury supporting Pathology and the Cancer Institute, will act as physical repositories for collections of biological samples and data from patients consented at UCLH, Partners Hospitals and external sources. This will incorporate collections of existing stored samples and new collections. UCL-RFH BioBank, the physical repository at the Royal Free, presents a unique opportunity to advance medical research through making access to research tissue easier, faster and much more efficient. The BioBank is both a physical repository, with capacity for up to 1 million cryogenically stored samples and a virtual repository for all tissue, cell, plasma, serum, DNA and RNA samples stored throughout UCLP. In particular, samples considered "relevant material", such as tissues and cells, that are licensed by the Human Tissue Authority, can be stored long term. Existing holdings of tissues and cells where appropriate can be transferred to the Physical BioBank at the Royal Free. UCL - Royal Free BioBank provides a flexible approach to banking, allowing the Depositor to pick and choose services that are tailored to fit their requirements. Collaborations arising from publicizing of the existence of the holdings are entirely at the discretion of the depositor, as the facility ensures that access to the deposits remains at the decision of the Depositor/User. UCL Biobank for studying Health and Disease (based at Pathology-Rockefeller building and the UCL-Cancer Institute will support projects principally involved in the study of human disease. The aim is to support primarily, research in the Pathology Department, UCLH and the UCL-Cancer Institute but it will also support other UCLH partners. The biobank will store normal and pathological specimens, surplus to diagnostic requirements, from relevant tissues and bodily fluids. Stored tissues will include; snap-frozen or cryopreserved tissue, formalin-fixed tissue, paraffin-embedded tissues, and slides prepared for histological examination. Tissues will include resection specimens obtained surgically or by needle core biopsy. Bodily fluids will include; whole blood, serum, plasma, urine, cerebrospinal fluid, milk, saliva and buccal smears and cytological specimens such as sputum and cervical smears. Fine needle aspirates obtained from tissues and bodily cavities (e.g. pleura and peritoneum) will also be collected. Where appropriate the biobank will also store separated cells, protein, DNA and RNA isolated from collected tissues and bodily fluids described above. Some of the tissue and aspirated samples will be stored in the diagnostic archive.
Proper citation: UCL Biobank (RRID:SCR_000517) Copy
Project exploring the spectrum of genomic changes involved in more than 20 types of human cancer that provides a platform for researchers to search, download, and analyze data sets generated. As a pilot project it confirmed that an atlas of changes could be created for specific cancer types. It also showed that a national network of research and technology teams working on distinct but related projects could pool the results of their efforts, create an economy of scale and develop an infrastructure for making the data publicly accessible. Its success committed resources to collect and characterize more than 20 additional tumor types. Components of the TCGA Research Network: * Biospecimen Core Resource (BCR); Tissue samples are carefully cataloged, processed, checked for quality and stored, complete with important medical information about the patient. * Genome Characterization Centers (GCCs); Several technologies will be used to analyze genomic changes involved in cancer. The genomic changes that are identified will be further studied by the Genome Sequencing Centers. * Genome Sequencing Centers (GSCs); High-throughput Genome Sequencing Centers will identify the changes in DNA sequences that are associated with specific types of cancer. * Proteome Characterization Centers (PCCs); The centers, a component of NCI's Clinical Proteomic Tumor Analysis Consortium, will ascertain and analyze the total proteomic content of a subset of TCGA samples. * Data Coordinating Center (DCC); The information that is generated by TCGA will be centrally managed at the DCC and entered into the TCGA Data Portal and Cancer Genomics Hub as it becomes available. Centralization of data facilitates data transfer between the network and the research community, and makes data analysis more efficient. The DCC manages the TCGA Data Portal. * Cancer Genomics Hub (CGHub); Lower level sequence data will be deposited into a secure repository. This database stores cancer genome sequences and alignments. * Genome Data Analysis Centers (GDACs) - Immense amounts of data from array and second-generation sequencing technologies must be integrated across thousands of samples. These centers will provide novel informatics tools to the entire research community to facilitate broader use of TCGA data. TCGA is actively developing a network of collaborators who are able to provide samples that are collected retrospectively (tissues that had already been collected and stored) or prospectively (tissues that will be collected in the future).
Proper citation: The Cancer Genome Atlas (RRID:SCR_003193) Copy
https://www.davincieuropeanbiobank.org/
BioBank that collects, stores, processes and distributes biospecimens and the associated data. The biospecimens are human and non-human genetic materials, proteins, cells, tissues and biofluids. The data are the biological information associated to the samples and, in the case of human samples, the clinical information pertaining to the donor. The da Vinci European BioBank (daVEB) is a multicenter biobank with a centralized IT infrastructure and a main repository located at the Polo Scientifico (Scientific Campus of the University of Florence) in Sesto Fiorentino (Florence, Italy). Hosted by the Magnetic Resonance Center (CERM), an expert center on protein structure and metabolomics, daVEB's aim is to host as rich as possible biological human sample collections, stored accordingly to EU guidelines, in order to offer a powerful tool in the study of complex diseases. At the end of July 2011, the da Vinci European BioBank of the Pharmacogenomics FiorGen Onlus Foundation has been audited and got the quality certification according to UNI EN ISO 9001:2008 for Collection, storage and distribution of biological samples and the associated data for scientific research. Besides the samples stored at da Vinci European BioBank in Sesto Fiorentino (Florence), the daVEB is also the administrative biobank for research sample collections that are stored in the delocalized repositories. All the sample collections must be registered in the biobank: * sample collections taken within the regular health care * samples taken from healthy individuals or other persons out of the regular health care * samples that have been taken in hospitals within research protocols on specific pathologies all transferred to daVEB endowed with a transfer agreement signed by the donor. The Research Units actually afferent to daVEB are delocalized in the Florence, Prato, Pisa and Siena provinces. Delocalized repositories are under construction in Tuscany.
Proper citation: da Vinci European Biobank (RRID:SCR_004908) Copy
Collection of human embryonic and fetal material (Tissue and RNA) ranging from 3 to 20 weeks of development available to the international scientific community. Material can either be sent to registered users or our In House Gene Expression Service (IHGES) can carry out projects on user''''s behalf, providing high quality images and interpretation of gene expression patterns. Gene expression data emerging from HDBR material is added to our gene expression database which is accessible via our HUDSEN (Human Developmental Studies Network) website. A significant proportion of the material has been cytogenetically karyotyped, and normal karyotyped material is provided for research.
Proper citation: Human Developmental Biology Resource (RRID:SCR_006326) Copy
http://ki.se/en/imm/sheep-the-stockholm-heart-epidemiology-program
DNA from a population-based case-control study designed to investigate causes of myocardial infarction. The study population comprised all Swedish citizens living in the county of Stockholm who were 45 to 70 years of age and free of previously clinically diagnosed MI. Sample types: * DNA Number of sample donors: 2831 (sample collection completed)
Proper citation: SHEEP - Stockholm Heart Epidemiology Program (RRID:SCR_008905) Copy
http://www.framinghamheartstudy.org/
A longitudinal, epidemiologic study to identify the common risk factors or characteristics that contribute to cardiovascular disease by following its development over a long period of time in a large group of participants who had not yet developed overt symptoms or suffered a heart attack or stroke. Since that time the FHS has studied three generations of participants resulting in biological specimens and data from nearly 15,000 participants. Since 1994, two groups from minority populations, including related individuals have been added to the FHS. FHS welcomes proposals from outside investigators for data and biospecimens. The researchers recruited 5,209 men and women between the ages of 30 and 62 from the town of Framingham, Massachusetts, and began the first round of extensive physical examinations and lifestyle interviews that they would later analyze for common patterns related to CVD development. Since 1948, the subjects have continued to return to the study every two years for a detailed medical history, physical examination, and laboratory tests, and in 1971, the Study enrolled a second generation - 5,124 of the original participants'''' adult children and their spouses - to participate in similar examinations. In 1994, the need to establish a new study reflecting a more diverse community of Framingham was recognized, and the first Omni cohort of the Framingham Heart Study was enrolled. In April 2002 the Study entered a new phase, the enrollment of a third generation of participants, the grandchildren of the Original Cohort. In 2003, a second group of Omni participants was enrolled. Over the years, careful monitoring of the Framingham Study population has led to the identification of major CVD risk factors, as well as valuable information on the effects of these factors such as blood pressure, blood triglyceride and cholesterol levels, age, gender, and psychosocial issues. Risk factors for other physiological conditions such as dementia have been and continue to be investigated. In addition, the relationships between physical traits and genetic patterns are being studied. FHS clinical and research data is stored in the dbGaP and NHLBI Repository repositories and may be accessed by application. Please check the following repositories before applying for data through FHS. Investigators seeking data that is not available through dbGaP or BioLINCC or seeking biological specimens may submit a proposal through the FHS web-based research application. The FHS data repository may be accessed through this FHS website, under the For Researchers link, then Description of Data, in order to determine if and how the desired data is stored. Proposals may involve the use of existing data, the collection of new data, either directly from participants or from previously collected samples, images, or other materials (e.g., medical records). The FHS Repository also has biological specimens available for genetic and non-genetic research proposals. Specimens include urine, blood and blood products, as well as DNA.
Proper citation: Framingham Heart Study (RRID:SCR_008963) Copy
http://www.chernobyltissuebank.com/
The CTB (Chernobyl Tissue Bank) is an international cooperation that collects, stores and disseminates biological samples from tumors and normal tissues from patients for whom the aetiology of their disease is known - exposure to radioiodine in childhood following the accident at the Chernobyl power plant. The main objective of this project is to provide a research resource for both ongoing and future studies of the health consequences of the Chernobyl accident. It seeks to maximize the amount of information obtained from small pieces of tumor by providing multiple aliquots of RNA and DNA extracted from well documented pathological specimens to a number of researchers world-wide and to conserve this valuable material for future generations of scientists. It exists to promote collaborative, rather than competitive, research on a limited biological resource. Tissue is collected to an approved standard operating procedure (SOP) and is snap frozen; the presence or absence of tumor is verified by frozen section. A representative paraffin block is also obtained for each case. Where appropriate, we also collect fresh and paraffin-embedded tissue from loco-regional metastases. Currently we do not issue tissue but provide extracted nucleic acid, paraffin sections and sections from tissue microarrays from this material. The project is coordinated from Imperial College, London and works with Institutes in the Russian Federation (the Medical Radiological Research Centre in Obninsk) and Ukraine (the Institute of Endocrinology and Metabolism in Kiev) to support local scientists and clinicians to manage and run a tissue bank for those patients who have developed thyroid tumors following exposure to radiation from the Chernobyl accident. Belarus was also initially included in the project, but is currently suspended for political reasons.
Proper citation: Chernobyl Tissue Bank (RRID:SCR_010662) Copy
https://sites.google.com/site/projectbci/
EEG motor activity data sets used for Brain Computer Interface research project in Matlab MAT format. * Dataset 1 - 1D motion: This subject is a 21 year old, right handed male with no known medical conditions. The EEG consists of actual random movements of left and right hand recorded with eyes closed. Each row represents one electrode. The order of the electrodes is FP1 FP2 F3 F4 C3 C4 P3 P4 O1 O2 F7 F8 T3 T4 T5 T6 FZ CZ PZ. The recording was done at 500Hz using Neurofax EEG System which uses a daisy chain montage. The data was exported with a common reference using Eemagine EEG. AC Lines in this country work at 50 Hz. This info is also included in the MAT file. * Dataset 2 - 2D motion: This subject is a 21 year old, right handed male with no known medical conditions. The EEG consists of actual random movements of left and right hand recorded with eyes closed. Each row represents one electrode. The order of the electrodes is FP1 FP2 F3 F4 C3 C4 P3 P4 O1 O2 F7 F8 T3 T4 T5 T6 FZ CZ PZ. The recording was done at 500Hz using Neurofax EEG System which uses a daisy chain montage. The data was exported with a common reference using Eemagine EEG. AC Lines in this country work at 50 Hz. This data consists of the following movements # Three trials left hand forward movement # Three trials left hand backward movement # Three trials left hand forward movement # Three trials left hand forward movement # 1 trial imagined left hand forward movement # 1 trial imagined left hand backward movement # 1 trial imagined right hand forward movement # 1 trial imagined right hand backward movement # 1 trial left leg movement # 1 trial right leg movement
Proper citation: Project BCI - EEG motor activity data set (RRID:SCR_001585) Copy
Data sets resulting from glaucoma research including visual fields, various imaging modalities and other data from both glaucomatous and normal subjects. The Longitudinal Glaucomatous Visual Fields data set contains IOP (Intraocular pressure) measurements and 24-2 Full Threshold visual fields obtained with a Humphrey Field Analyzer (Zeiss). Data of both eyes of 139 patients over a mean period of over 9 years is included, with on average more than 17 fields per eye. Local threshold and total deviation values are included.
Proper citation: Open Rotterdam Glaucoma Imaging Data Sets (RRID:SCR_003540) Copy
http://www.radiologyresearch.org/HippocampusSegmentation.aspx
This dataset contains T1-weighted MR images of 50 subjects, 40 of whom are patients with temporal lobe epilepsy and 10 are nonepileptic subjects. Hippocampus labels are provided for 25 subjects for training. The users may submit their segmentation outcomes for the remaining 25 testing images to get a table of segmentation metrics.
Proper citation: MRI Dataset for Hippocampus Segmentation (RRID:SCR_009597) Copy
http://www.som.soton.ac.uk/research/sites/cruk/translation/tumour.asp
Collects and distributes human tissue for ethically approved studies to aid the study of cancer biology and other associated research. All tissue is collected with patient consent and tissue is distributed only to ethically approved studies. The purpose of the Tissue Bank is to source, organize, collect, prepare, store and distribute a diverse collection of human tissues and biological products. This valuable core resource is available to all local academics and researchers. The on-site bank allows for rapid access to a plethora of biological materials supported by an informatics system of databases acting as an inventory management system. In addition, the Tissue Bank provides a licensed facility to store surplus tissue when studies close. Tissues currently available include normal and malignant snap frozen blocks, freshly prepared spleen and lymph nodes, fresh biopsy tissues, blood products and biological fluids. Collections can be organized by bank staff or ran in parallel with current research activities and include a wide variety of cancer classifications. We currently hold over 38,000 vials. Tissue Availability: Lymphoma - solid tissue and cells - 843; Breast - solid tissue and cells - 540; Colon - solid tissue and cells - 238; Lung - solid tissue and cells - 43; Upper Gi - BIOPSY tissue - 114; Pleural fluid and cells - 14
Proper citation: Southampton Tumour Bank (RRID:SCR_000673) Copy
http://bodymap.genes.nig.ac.jp/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A taxonomical and anatomical database of latest cross species animal EST data, clustered by UniGene and inter connected by Inparanoid. Users can search by Unigene, RefSeq, or Entrez Gene ID, or search for Gene Name or Tissue type. Data is also sortable and viewable based on qualities of normal, Neoplastic, or other. The last data import appears to be from 2008
Proper citation: BodyMap-Xs (RRID:SCR_001147) Copy
http://srv00.ibbe.cnr.it/ASPicDB/
A database to access reliable annotations of the alternative splicing pattern of human genes, obtained by ASPic algorithm (Castrignano et al. 2006), and to the functional annotation of predicted isoforms. Users may select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST data and their library source annotation.
Proper citation: ASPicDB (RRID:SCR_002102) Copy
http://www.rrcancer.ca/en/publique/accueil
An infrastructure to allow Quebec researchers to have at their disposal tumor banks and the services that support large scale research in genomics and proteomics. The database and the tissue bank of the research network was created to allow rapid access to biological samples and their clinical data. It is spread out over many hospital institutions (in Montreal, Quebec and Sherbrooke). The members of the RRCancer-BTD supply normal, benign and malignant samples from routine surgeries and blood tests. Blood and tissue samples are collected by the provincial biobanks on a regular basis and are coded, classified and stored. The samples can be supplied to a researcher either fresh or frozen or blocks of paraffin or on slices. The sharing of information and biological material is managed according to ethical rules and contributes to increasing the value of research in Quebec. The network has mobilized a significant number of researchers in the area of cancer that unite their efforts to pursue high caliber multidisciplinary research. They are a group of researchers from many different Qu��bec Universities all working in the branch of cancer research. They are located in four hospital centers in Quebec, namely the University of Montreal Hospital Centre (CHUM), the University of Quebec Hospital Centre (CHUQ), the University of Sherbrooke Hospital Centre (CHUS) and the McGill University Hospital Centre (CUSM), as well as in the affiliated research and university centers (Sacr��-Coeur, Maisonneuve-Rosemont and the Montreal Jewish Hospital). The collaborative efforts created and maintained in this network have allowed transfer of knowledge and the sharing of cutting edge technologies. RRCancer favors multidisciplinary cancer research in both fundamental and clinical scopes. The network is based on the desire researchers to work together to prevent cancer and improve therapeutic strategies, all the while continuing the very important task of raining new specialists and graduate students.
Proper citation: Cancer Research Network of the FRSQ (RRID:SCR_004225) Copy
https://www.pathology.umn.edu/research/liver-tissue-cell-distribution-system
Tissue bank that provides human liver tissue from regional centers for distribution to scientific investigators throughout the United States. These USA regional centers have active liver transplant programs with human subjects approval to provide portions of the resected pathologic liver for which the transplant is performed.
Proper citation: Minnesota Liver Tissue Cell Distribution System (RRID:SCR_004840) Copy
https://www.ucl.ac.uk/biobank/physicalbloom
The UCL/UCLH Biobank for Studying Health and Disease has been primarily established to support the Research Programme and scientific needs, of the Pathology Department UCLH & the UCL Cancer Institute. The establishment of the core programme enables a centralised approach to the management and integration of all research groups working within these institutions, providing appropriate structure and support. The biobank has policies and guidelines to guarantee compliance with HTA legislation and to ensure quality standards will be maintained. The biobank stores normal and pathological specimens, surplus to diagnostic requirements, from relevant tissues and bodily fluids, as well as human tissue used in xenograft experiments. Stored tissues include; snap-frozen or cryopreserved tissue, formalin-fixed tissue, paraffin-embedded tissues, and slides prepared for histological examination. Tissues include resection specimens obtained surgically or by needle core biopsy. Bodily fluids include; whole blood, serum, plasma, urine, cerebrospinal fluid, milk, saliva and buccal smears and cytological specimens such as sputum and cervical smears. Fine needle aspirates obtained from tissues and bodily cavities (eg. pleura and peritoneum) are also collected. Where appropriate the biobank also stores separated cells, protein, DNA and RNA isolated from collected tissues and bodily fluids described above. Some of the tissue and aspirated samples are stored in the diagnostic archive.
Proper citation: UCL/UCLH Biobank for Studying Health and Disease (RRID:SCR_004610) Copy
NDRI actively recovers a diverse range of normal and diseased human tissues for biomedical researchers. We have recently implemented a new program to make human dorsal root ganglia (DRG) available for your research studies. The dorsal root ganglia contain cell bodies of afferent (inbound) neurons, and transmit pain and temperature sensations from the body. DRGs from C5 through L5 regions will be available. DRGs will be recovered under operating room conditions with a low post mortem interval to preservation and can be shipped at 4 degrees C, snap-frozen or fixed. Detailed medical-social history information is provided for each donor. If you are interested in obtaining these specimens, please contact me at your earliest convenience. Current NDRI researchers can immediately request these samples. Non-NDRI researchers need to submit a researcher application. * The program provides a reliable source of human DRG neurons that can be utilized for: Electrophysiology analysis, Live cell imaging studies * Low PMI yields high quality samples that are suitable for rigorous molecular applications: Deep sequencing analysis, In situ hybridization, Micro-array analysis * DRGs from C5 through L5 regions will be available. * The tissue fee for this program is 500 dollars per DRG * Customizable-- the researcher determines the DRG location and quantity that is needed for their research.
Proper citation: NDRI Dorsal Root Ganglia Program (RRID:SCR_005043) Copy
http://www.nitrc.org/projects/vervet_atlas/
Vervet (Chlorocebus aethiops sabaeus) probabilistic atlas that defines an anatomical space (template) with associated tissue and regional prior probability maps. The atlas was produced from whole head MRI of 10 normal adult animal subjects. The package consists of two atlases. The Biased directory contains the average template and probabilistic atlases for selected tissue classes constructed by registering the training population to one subject. The Unbiased directory contains the atlas constructed using unbiased estimation. The atlas is suitable for use in any segmentation tool using a probabilistic atlas, for example those in Slicer.
Proper citation: Vervet Probabilistic Atlas (RRID:SCR_000426) Copy
http://caprica.genetics.kcl.ac.uk/BRAINEAC/
Database for the UK Brain Expression Consortium (UKBEC) dataset that comprises of brains from individuals free of neurodegenerative disorders. The aim of Braineac is to release to the scientific community a valid instrument to investigate the genes and SNPs associated with neurological disorders.
Proper citation: Braineac (RRID:SCR_015888) Copy
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