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http://pstiing.icr.ac.uk/

A publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis.

Proper citation: pSTIING (RRID:SCR_002045) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://magi.cs.brown.edu/

A tool for annotating, exploring, and analyzing gene sets that may be associated with cancer.

Proper citation: Mutation Annotation and Genomic Interpretation (RRID:SCR_002800) Copy   

•   Source: SciCrunch Registry

http://www.azcc.arizona.edu/research/shared-services/tacmass/tissue-acquisition

TACMASS collects, preserves, and banks biospecimens obtained from Arizona Cancer Center surgical patients who are seen by University Medical Center surgeons and oncologists. Biospecimens collected at the time of surgery include fresh surgical tissue, blood and urine. Serum, plasma and genomic DNA are harvested from the whole blood. AZCC Members and collaborators may request the use of banked biospecimens through TACMASS. The patient's surgeon or oncologist is responsible for consenting the patient for submission of surgical specimens to the AZCC BioRepository (IRB #06-0609-04, Setsuko Chambers, PI). The surgeon and the Department of Pathology attending physicians and residents are responsible for identifying appropriate tissue for banking that will not compromise pathological diagnosis. Tumor and/or normal adjacent tissue, identified by gross examination, that will not be needed for pathological diagnosis are preserved by fixing in formalin, snap freezing, and/or fixing in RNALater. Histological diagnosis is rendered on each piece of formalin-fixed and snap frozen tissue by Hematoxylin and Eosin staining (H&E). Everyone involved in submitting specimens to the Tumor Bank must maintain a current CITI Certification.

Proper citation: Arizona Cancer Center Tumor Bank (RRID:SCR_003544) Copy   

•   Source: SciCrunch Registry

http://www.netpath.org/

A manually curated resource of signal transduction pathways in humans. All pathways are freely available for download in BioPAX level 3.0, PSI-MI version 2.5 and SBML version 2.1 formats. The slim pathway models representing only core reactions in each pathway are available at NetSlim. All the NetPath pathway models are also submitted to WikiPathways., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NetPath (RRID:SCR_003567) Copy   

•   Source: SciCrunch Registry

https://www.med.upenn.edu/cbica/captk/

Software platform for analysis of radiographic cancer images. Used as quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome.

Proper citation: Cancer Imaging Phenomics Toolkit (RRID:SCR_017323) Copy   

•   Source: SciCrunch Registry

https://ccsp.hms.harvard.edu/

Center includes studies for responsiveness and resistance to anti cancer drugs. Committed to training students and postdocs, promoting junior faculty and ensuring that data and software are reproducible, reliable and publicly accessible. Member of National Cancer Institute’s Cancer Systems Biology Consortium.

Proper citation: Harvard Medical School Center for Cancer Systems Pharmacology (RRID:SCR_022831) Copy   

•   Source: SciCrunch Registry

https://www.mitochondriasci.com/cancer.html

Creative Biogene provides comprehensive range of services and products to assist researchers in cancer related mitochondria studies. Offers tests and services with advantage of cell based and animal based models.

Proper citation: Creative Biogene Mitochondrial Gene Mutations (RRID:SCR_022082) Copy   

•   Source: SciCrunch Registry

http://www.kccmr.org/

This colony provides a national resource of rhesus monkeys and their tissues to carry out research benefiting the scientific community. The RMBRR maintains a colony of monkeys that have been derived to be specific pathogen free for members of both the herpes and retrovirus families. Over its history, the RMBRR has developed specialized management techniques, housing facilities and highly trained staff to avail these purposefully bred laboratory models, which are 93% genetically identical to humans, to researchers worldwide. Historically, this animal model has been instrumental in research involving blood classification, polio vaccine development, and drug safety and efficacy while currently they are the preferred model for studying the mechanisms of immunodeficiency diseases. Their susceptibility to Simian Immunodeficiency Virus and their homology to the human major histocompatibility complex (MHC) Class I, II and TCR genes make them valuable in HIV research. They are currently the models of choice for HIV/AIDS vaccine development and study. Other areas of research include atherosclerosis, myocarditis, alcoholism, diabetes, cancer and aging. The overall objectives of this resource are to improve the resources available at the RMBRR and to conduct resource-relevant research that improves both the health of the rhesus colony and its usefulness for studies of human disease. The Resource and Management Core is responsible for providing animal resources, tissues/biological fluids, cell lines, expert advice and research support to NIH extramural and intramural programs, other federal agencies and to private sponsors. The Resource-Related Research Core conducts research to improve the health of the animals maintained with special emphasis on studies that will enhance the usefulness of the rhesus as a model for studies of human disease.

Proper citation: Rhesus Monkey Breeding and Research (RRID:SCR_008357) Copy   

•   Source: SciCrunch Registry

http://www.cnio.es/ES/grupos/plantillas/presentacion.asp?grupo=50004308

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. The need to use human neoplastic tissue under ideal conditions is currently of particular importance due to the development molecular pathology techniques that allow large-scale studies of genetic expression that are also of clinical significance. The Tumour Bank Network (TBN), instigated and coordinated by the Molecular Pathology Programme (MMP) aims to respond to this need by the promoting of Tumour Banks in Spanish hospitals. This will be achieved through the application of homogeneous procedures for the collection, processing and storage of neoplastic and normal tissue samples in such a way as to make molecular studies possible, avoiding that avoid the intrinsic bias of multi-centre studies possible. These Hospital Tumour Banks are based within the Pathology Departments of the collaborating Hospitals, that are interconnected through a computer-based network. In this way, each Centre''s tissue remains in the Hospital itself, thereby playing a key role in the development of the welfare, teaching and research activities within the Hospital. At the same time, it represents a tool to encourage of multi-hospital cancer research and of cooperation between basic and clinical researchers, constituting important collaboration between biomedical disciplines. The design does not correspond to a Central Tumour Bank, but that of a cooperative and coordinated Network of Hospital Banks, based on simple, homogeneous and optimal tissue treatment protocols. This Network is promoted by the Centro Nacional de Investigaciones Oncologicas (CNIO), which thereby undertakes the work of coordinating the network, using and maintaining the database, adhering to quality control. The aim of the CNIO's TBN is to acquire neoplastic and control non-neoplastic material of all types of malignant neoplasias, in the form of tissue fixed in formalin and paraffin embedded, of samples that are unfixed or frozen according to conventional methods as set out in Annexe 1 and even, exceptionally as fresh tissue. When other types of samples are required to carry out a specific project, the central office of the TBN will draw up a protocol with the group leading the project for the collection and maintenance of the tissue and clinicopathological data required for the proposed research. These protocols will be disseminated among the Associated Hospitals in order to gather the previously agreed number cases. Basic data surrounding the processing and preservation conditions for each case will be sent to the central office of the Bank, which under no circumstances will reveal the identity of the patient. Any Spanish cancer research team will be able to request tissue from the Tissue Bank Network. Absolute priority will be afforded to projects whose principal researcher belongs to one of the Associated Centres of the TNB, to other institutions with special agreements concerning the exchange of samples, and to the CNIO's researchers.

Proper citation: Spanish National Tumour Bank Network (RRID:SCR_008707) Copy   

•   Source: SciCrunch Registry

http://www.cs.tau.ac.il/~spike/

Database of curated human signaling pathways with an associated interactive software tool for analysis and dynamic visualization of pathways. Individual pathway maps can be viewed and downloaded; the entire database may be browsed, or launched via a map viewer tool that allows dynamic visualization of the database and save networks in XGMML format that can be viewed in all generic XGMML viewers. Map Topics * Cell cycle progress and check points * DNA damage response * Programmed cell death related processes * Stress-activated transcription factors * Mitogen-activated protein kinase pathways * Immune response signaling * HEarSpike: hearing related pathways

Proper citation: SPIKE (RRID:SCR_010466) Copy   

•   Source: SciCrunch Registry

http://data-analysis.charite.de/care/

Comprehensive database of cancer relevant proteins and compound interactions supported by experimental knowledge.Knowledgebase for drug-target relationships related to cancer as well as for supporting information or experimental data.

Proper citation: CancerResource (RRID:SCR_011945) Copy   

•   Source: SciCrunch Registry

http://web.mit.edu/spectroscopy/facilities/lbrc.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Biomedical technology research center that develops basic scientific understanding and new techniques required for advancing clinical applications of lasers and spectroscopy. LBRC merges optical spectroscopy, imaging, scattering, and interferometry techniques to study biophysics and biochemistry of healthy and diseased biological structures from subcellular to entire-organ scale.

Proper citation: Laser Biomedical Research Center (RRID:SCR_000106) Copy   

•   Source: SciCrunch Registry

https://www.tissue-atlas.org/

Gathers together imaging and omic datasets into molecular maps of normal and diseased tissue from human and animal models, with emphasis on cancer. Used to access datasets, educational curriculum and talks, and recommended methods and software.

Proper citation: Harvard Tissue Atlas (RRID:SCR_022829) Copy   

•   Source: SciCrunch Registry

https://tabula-sapiens-portal.ds.czbiohub.org/

Single cell transcriptomic atlas of multiple organs from individual human donors. Multiple organ, single cell transcriptomic atlas of humans. Molecular reference atlas for cell types of human body. Provides molecular definition of these cell types and reveals many other aspects of human biology, including how same gene can be spliced differently in different cell types, how shared cell types in different tissues can have subtle differences in their identities, and how clones of immune system can be shared across tissues.

Proper citation: Tabula Sapiens (RRID:SCR_022314) Copy   

•   Source: SciCrunch Registry

https://abctb.org.au/abctbNew2/default.aspx

A tissue bank which houses and supplies cancerous tissue for use by the research community. Along with tissue, the bank collects clinical history, lifestyle factors, breast pathology, treatment information, and follow up information.

Proper citation: Australia Breast Cancer Tissue Bank (RRID:SCR_000926) Copy   

•   Source: SciCrunch Registry

http://bmsr.usc.edu/software/targetgene/

MATLAB tool to effectively identify potential therapeutic targets and drugs in cancer using genetic network-based approaches. It can rapidly extract genetic interactions from a precompiled database stored as a MATLAB MAT-file without the need to interrogate remote SQL databases. Millions of interactions involving thousands of candidate genes can be mapped to the genetic network within minutes. While TARGETgene is currently based on the gene network reported in (Wu et al.,Bioinformatics 26:807-813, 2010), it can be easily extended to allow the optional use of other developed gene networks. The simple graphical user interface also enables rapid, intuitive mapping and analysis of therapeutic targets at the systems level. By mapping predictions to drug-target information, TARGETgene may be used as an initial drug screening tool that identifies compounds for further evaluation. In addition, TARGETgene is expected to be applicable to identify potential therapeutic targets for any type or subtype of cancers, even those rare cancers that are not genetically recognized. Identification of Potential Therapeutic Targets * Prioritize potential therapeutic targets from thousands of candidate genes generated from high-throughput experiments using network-based metrics * Validate predictions (prioritization) using user-defined benchmark genes and curated cancer genes * Explore biologic information of selected targets through external databases (e.g., NCBI Entrez Gene) and gene function enrichment analysis Initial Drug Screening * Identify for further evaluation existing drugs and compounds that may act on the potential therapeutic targets identified by TARGETgene * Explore general information on identified drugs of interest through several external links Operating System: Windows XP / Vista / 7

Proper citation: TARGETgene (RRID:SCR_001392) Copy   

•   Source: SciCrunch Registry

http://www.roswellpark.edu/shared-resources/data-bank-and-biorepository

Collects and provides de-identified biospecimens and associated epidemiological and clinical data to meet the scientific needs of investigators. Newly diagnosed patients are asked to contribute data and specimens to the DBBR prior to treatment. Other patients with who have benign disease or advanced disease and have undergone treatment are also enrolled based on anticipated use of data and samples for research. Additionally, non-patients (family members and friends of patients and community members) with no personal history of cancer are asked to participate in the biorepository as controls. Specimens and data are procured with protected health information (PHI) and de-identified prior to distribution to investigators with hypothesis driven IRB reviewed studies. An extensive data collection and management system is in place to track informed consent, questionnaire collection and follow up, epidemiological questionnaire data, clinical data, biospecimens and their derivatives. Research Services * Availability of a bank of prospectively collected blood specimens (serum, plasma, buffy coat, red blood cells and DNA) from cancer patients, high risk individuals and healthy controls for research. * Collection, linking and distribution of epidemiologic and clinical data with biospecimens. * Study-specific biospecimen and data procurement to meet the needs of individual studies, including: ** Participant identification, eligibility screening and informed consent ** Serial biospecimen procurement prior to and throughout treatment ** Study specific collection of biospecimens other than blood (buccal cells, sputum, and urine) ** Procurement and distribution of fresh biospecimens ** Collection of extended clinical and risk factor data

Proper citation: Roswell Park Data Bank and BioRepository (RRID:SCR_003607) Copy   

•   Source: SciCrunch Registry

https://www.signalingpathways.org/ominer/query.jsf

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 25, 2022.Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.As of March 20, 2020, NURSA is succeeded by the Signaling Pathways Project (SPP).

Proper citation: Nuclear Receptor Signaling Atlas (RRID:SCR_003287) Copy   

•   Source: SciCrunch Registry

http://sharedresources.fredhutch.org/core-facilities/scientific-imaging

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 27,2022. Scientific imaging service that serves as a centralized facility for imaging and visualization. The core facility provides access to time lapse and 3-D microscopy and quantitative autoradiography.

Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Scientific Imaging (RRID:SCR_015340) Copy   

•   Source: SciCrunch Registry