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http://sunnybrook.ca/research/?page=sri_core_tbank_home
Sunnybrook Research Institute''s tumour bank provides a mechanism for the optimal collection, storage and distribution of human tissue for investigative purposes. We collect both freshly frozen and formalin-fixed paraffin-embedded tumour and normal samples, retrospectively and prospectively (informed consent and confidential consent is obtained from patients before sample collection). We offer the 1. Distribution of tissue and data to interested investigators after approval from the institutional research ethics board and 2. Collaboration with various research investigators. Our mandate is to design, implement and manage the structures and processes to ensure the timely provision of tissue samples and associated data. We are currently building bank on four disease sites: breast, prostate, colorectal, gynecological. We are also creating and maintaining a database with a tissue tracking and inventory system, using TissueMetrix software.
Proper citation: Sunnybrook Tumour Bank (RRID:SCR_004138) Copy
http://www.tumorbank.unibe.ch/
Tumorbank Bern - TBB collects high quality clinical samples since 2003 for translational research selected by expert pathologists under controlled conditions of normal and diseased tissue from different origin. The Tumor Bank is approved by the Ethical Commission of Bern, we only collect samples with written informed patient consent. Origin of Tissue: Thoracic Surgery, Gynecology, Urology, Visceral Surgery, Orthopedic Surgery, Head and Neck Surgery, Neurosurgery Tumorbank Bern TBB holds 12,000 samples from 3600 Patients. Please contact us to check if we have samples for your field of research.
Proper citation: Tumorbank Bern (RRID:SCR_004611) Copy
http://www.ontariotumourbank.ca/
The Ontario Tumour Bank is a province-wide biorepository and data bank focused on collection of tumor-related human biospecimens. It provides academic and industry cancer researchers with a diverse selection of high quality tumor-related specimens and data obtained directly by dedicated tumour bank staff, who follow a stringent set of procedures and ethical guidelines. The biospecimens and clinical data are an important resource for scientists engaged in translational research who are developing better diagnostic tools and new drug therapies. Researchers depend on the Ontario Tumour Bank to provide research biospecimens of high quality, diversity, and integrity. Operating at state-of-the-art hospitals and cancer centers across Ontario, the Ontario Tumour Bank coordinates the collection, storage, analysis, annotation, and distribution of tumor and peripheral blood samples. Working in collaboration with local pathologists, medical oncologists, surgeons and other hospital personnel, specially trained staff obtain patient consent, collect tissues and assemble comprehensive clinical information about each donor and the corresponding samples.
Proper citation: Ontario Tumour Bank (RRID:SCR_004732) Copy
http://www.biobank-gso.org/apex/f?p=200:1:2527679222961463
The Virtual Tumour Bank of the Canceropole Grand Sud-Ouest''s mission is to federate the cancer research of four French regions: Aquitaine, Languedoc-Roussillon, Limousin and Midi-Pyrenees. This site allows access to an inventory of the specimens stored in the tumor banks of the Greater South-West region, within the laboratories of Pathology of the University Hospital Centers and Cancer Centers of Bordeaux, Limoges, Montpellier, Nimes and Toulouse. You may search by disease or multiple criteria. These specimens are removed from patients primarily to confirm and accurately characterize their cancer diagnosis, and are therefore stored by the tumor bank for diagnostic and/or therapeutic purposes. These samples can be re-qualified for scientific research pending that a number of conditions are met, including the absence of refusal from the person (in compliance with French regulations). So far, the tumor bank is a major tool for cancer treatment and research. This inventory is a further evidence of the coordination effort between the eight concerned tumor banks that have been mobilized at the service of patients and research within the framework of the Canceropole Grand Sud-Ouest programs. These biological resources are made available to research groups that conduct basic or translational programs in the field of oncology. They will not be made available for projects in fields other than oncology.
Proper citation: Southwest France Tumour Bank (RRID:SCR_004574) Copy
A provincial biobank resource to support translational cancer research at the BC Cancer Agency, across Canada and internationally. This biobank collects biospecimens (tissues and blood), and clinical information and processes these to create anonymous cases that can be studied by cancer researchers to understand how cancer develops, how it grows, how it spreads, and how it responds to treatment. These tissues and data are obtained from patients who undergo surgery to treat a tumor and who have generously provided their consent for the TTR to collect tissues that are unused after diagnosis has been completed. The TTR is a provincial program that currently comprises a core biobank at the Vancouver Island Center, Victoria, that offers participation in the program to patients in Victoria and Nanaimo. The TTR works with other banks and expert translational research groups in BC, to create expanded capacity for collection and opportunities for research access to tissue resources. The TTR operates under the management and oversight of the director, a scientific advisory board, and the UBC BCCA Research Ethics Board. The TTR operates within organizational policies and a commitment to protection of donor privacy that is embodied in all standard operating procedures and aspects of the repository. The TTR is also a founding member and contributor to the development of provincial (BC BioLibrary) and national (CTRNet) initiatives to promote biobanking.
Proper citation: British Columbia Tumour Tissue Repository (RRID:SCR_004597) Copy
https://moffitt.org/research-science/shared-resources/tissue/
A central tissue repository at Moffitt specializing in protocol-driven human tissue collection, storage, processing and dissemination. Tissue Core provides investigators with access to high quality, well-annotated human specimens obtained from representative of the patient populations. The advent of powerful molecular technologies has opened the door to developing more effective treatments of patients with cancer. Access to high quality specimens with associated clinical, treatment, recurrence outcome data will be critical to developing and validating the tests needed for diagnosis and prediction of response to therapy. Since its commencement in 1993, the Tissue Core has collected more than 8,000 cases of human liquid cancers and solid primary and metastatic tumors both malignant and benign with adjacent normal, from variety of sites and diagnoses. Collected samples are mostly remnant tissues obtained from patients undergoing therapeutic surgical procedures at the Center. The core also ensures tissue release compliance with USF-IRB and Privacy Board recommendations. * Protocol driven sample collection, processing and distribution * Collection of sample and patient demographic information. * Nucleic acid extractions from tissue sections, FNA, core biopsies blood and bone marrow. * Histology services: H&E slides, staining, sectioning, paraffin blocks, OCT blocks, sample microdissection * WBC, plasma and serum isolation. * Project development and support: Facility staff provides advice and guidance to researchers.
Proper citation: Moffitt Cancer Center Tissue Core (RRID:SCR_004406) Copy
Biospecimen repository of normal and diseased human material from a variety of tissues and conditions along with clinical annotation. Both frozen aliquots and paraffin embedded tissue are available. Biospecimens are available to qualified researchers with IRB approval. * Preliminary inquires please contact Cheryl Spencer at cheryl.spencer (at) bmc.org
Proper citation: Boston University Biospecimen Archive Research Core (RRID:SCR_005363) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Located in Spain, the Andalusian Regional Tumour Bank is a regional tumor bank. In the last decades cancer knowledge is growing exponentially due human genome knowledge and technological advantages. However, this disease is the biggest problem of health in Europe, with more than 2,5 million new cases per year. The diagnosis and treatment of cancer is now allowing to identify the characteristics that the disease has on each person. The next step is meant to be a great revolution in the treatment of cancer. This scientific development is dependent on the availability of human tumour samples preserved in demanding conditions. Current technology requires the availability of tissue morphological and molecular conditions similar to those that had the sample before being removed. Tumor banks are responsible for these new quality requirements to foster the development of research and health care of patients.
Proper citation: Andalusian Regional Tumour Bank (RRID:SCR_004885) Copy
http://www.einstein.yu.edu/centers/ictr/
Patient-derived specimens are essential to research in genomics, proteomics, and biomarkers. We provide banking for biological fluid and tissue specimens as well as human DNA and RNA. We provide secure archival sample storage as well as clinically-annotated specimen biobanks for defined research projects. The core serves the human research blood and tissue banking needs of clinical and translational researchers. Samples can be banked by an individual PI or by a consortium of investigators. All samples are tracked and archived using a secure tracking database, the Einstein-Montefiore Bio-Repository Databank (EM-BRED), http://informatics30.aecom.yu.edu/em-bred/default.aspx. EM-BRED provides qualified investigators with a solution to securely link patient specimens to clinical and pathological data. It consists of a user-friendly query engine that allows for comprehensive specimen search, and ultimately to build clinical annotations of relevance. The facility works under the best practices set out by NCI and ISBER (2006) for collection, storage, and retrieval of human biological materials for research.
Proper citation: Einstein-Montefiore Institute for Clinical and Translational Research Biorepository (RRID:SCR_005297) Copy
http://molonc.bccrc.ca/platforms/btb/
The Molecular Oncology department hosts the breast cancer tumour tissue repository (BREAST-TTR), a project within the agency-wide tumour tissue repository. The BREAST-TTR comprises several important banks of breast tissues, contemporaneous as well as archival. The main banks are: * 3000 frozen breast cancers, linked to 15 year outcomes data from the BCCA Breast Cancer Outcomes Unit. This archival bank consists of frozen tissue, DNA and RNA, and a tissue microarray of the cases. * Live-cryopreserved cancers. At present around 50 individual cases of metastatic breast cancer, with tumour material cryopreserved for subsequent cell culture/xenograft work. * Comptemporary bank. Between the TTR in Victoria and the accrual site in Vancouver, approximately 1300 contemporaneous (within last 4 years) breast cancers with matched normal DNA and outcomes linkages.
Proper citation: British Columbia Breast Cancer Tumour Bank (RRID:SCR_006671) Copy
https://github.com/Illumina/strelka/
Software for somatic single nucleotide variant (SNV) and small indel detection from sequencing data of matched tumor-normal samples. Strelka2 germline and somatic small variant caller.
Proper citation: Strelka2 (RRID:SCR_005109) Copy
http://www.broadinstitute.org/science/programs/genome-biology/computational-rd/somaticcall-manual
Software program that finds single-base differences (substitutions) between sequence data from tumor and matched normal samples. It is designed to be highly stringent, so as to achieve a low false positive rate. It takes as input a BAM file for each sample, and produces as output a list of differences (somatic mutations). Note: This software package is no longer supported and information on this page is provided for archival purposes only.
Proper citation: SomaticCall (RRID:SCR_001196) Copy
http://patchwork.r-forge.r-project.org/
Software tool for analyzing and visualizing allele-specific copy numbers and loss-of-heterozygosity in cancer genomes. The data input is in the format of whole-genome sequencing data which enables characterization of genomic alterations ranging in size from point mutations to entire chromosomes. High quality results are obtained even if samples have low coverage, ~4x, low tumor cell content or are aneuploid. Patchwork takes BAM files as input whereas PatchworkCG takes input from CompleteGenomics files. TAPS performs the same analysis as Patchwork but for microarray data.
Proper citation: Patchwork (RRID:SCR_000072) Copy
A contract research organization (CRO) specializing in preclinical oncology services. As a pioneer in the field of patient derived tumor xenografts (PDX), they provide tailored solutions to the problems faced by preclinical oncology researchers. They assist with the identification of the best drug candidates and the validation of their targets and deliver in-depth bioinformatics analyses, laying the groundwork for the successful planning of clinical trials. Their diverse tumor model collection enables them to recommend the right assays and models to answer their customers' questions. Their AAALAC accredited facilities with IVC system, separate model development unit, large cage capacity of over 14,500 mice and proprietary electronic measurement system with an integrated database and by continuously maintaining important PDX models in mice, they are able to provide the highest standard of testing within a reasonable timeframe.
Proper citation: Oncotest (RRID:SCR_000489) Copy
http://sourceforge.net/projects/variantmaster/
Software program that extracts causative variants in familial and sporadic genetic diseases. The algorithm takes into account predicted variants (SNPs and indels) in affected individuals or tumor samples and utilizes the row (BAM) data to robustly estimate the conditional probability of segregation in a family, as well as the probability of it being de novo or somatic. In familial cases, various modes of inheritance are considered: X-linked, autosomal dominant, and recessive (homozygosity or compound heterozygosity). Moreover, it integrates phenotypes and genotypes, and employs Annovar to produce additional information as allelic frequencies in general population and damaging scores.
Proper citation: VariantMaster (RRID:SCR_000569) Copy
http://bioinfo-out.curie.fr/projects/snp_gap/
Software for automatic detection of absolute segmental copy numbers and genotype status in complex cancer genome profiles measured by single-nucleotide polymorphism (SNP) arrays. The method is based on pattern recognition of segmented and smoothed copy number and allelic imbalance profiles. The method performs well even for poor-quality data, low tumor content, and highly rearranged tumor genomes.
Proper citation: Genome Alteration Print (RRID:SCR_012016) Copy
Open access resource for human proteins. Used to search for specific genes or proteins or explore different resources, each focusing on particular aspect of the genome-wide analysis of the human proteins: Tissue, Brain, Single Cell, Subcellular, Cancer, Blood, Cell line, Structure and Interaction. Swedish-based program to map all human proteins in cells, tissues, and organs using integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome.
Proper citation: The Human Protein Atlas (RRID:SCR_006710) Copy
https://github.com/ding-lab/msisensor
A C++ software program for automatically detecting somatic and germline variants at microsatellite regions. It computes length distributions of microsatellites per site in paired tumor and normal sequence data, subsequently using these to statistically compare observed distributions in both samples.
Proper citation: MSIsensor (RRID:SCR_006418) Copy
http://bioinf.wehi.edu.au/socrates/
Software for detecting genomic rearrangements in tumors that utilizes only split-read data. It features single nucleotide resolution, high sensitivity, and high specificity in simulated data. It takes advantage of parallelism for efficient use of resources.
Proper citation: Socrates (RRID:SCR_006411) Copy
Statistical software to estimate tumor purity, ploidy and absolute copy numbers from next generation sequencing data.
Proper citation: AbsCN-seq (RRID:SCR_006409) Copy
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