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http://globocan.iarc.fr/Default.aspx

The aim of the project is to provide contemporary estimates of the incidence of, mortality and prevalence from major types of cancer, at national level, for 184 countries of the world. The GLOBOCAN estimates are presented for 2012, separately for each sex. 1-, 3- and 5-year prevalence data are available for the adult population only (ages 15 and over). Please note that: These estimates are based on the most recent data available at IARC and on information publically available on the Internet, but more recent figures may be available directly from local sources. Because the sources of data are continuously improving in quality and extent, estimates may not be truly comparable overtime and care should be taken when comparing these estimates with those published earlier. The observed differences may be the result of a change in the methodology and should not be interpreted as a time trend effect.

Proper citation: GLOBOCAN (RRID:SCR_012750) Copy   

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http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06718

Data set on the prevalence of self-care behaviors by non-institutionalized older adults. Personal interviews were conducted with 3,485 individuals 65 years of age and older, with oversampling of the oldest old. Questions were asked about the type and extent of self-care behaviors for activities of daily living, management of chronic conditions (through self-care activities, equipment use, and environmental modifications), medical self-care for acute conditions, health promotion/disease preventions, social support, health service utilization, and socio-demographic/economic status. A follow-up study by telephone was conducted in 1994 to continue examination of subjects. Many of the same questions from the baseline were asked, along with questions regarding change in health status since baseline and nursing home visits. For subjects who had been institutionalized since baseline (Part 2), information was gathered (by proxy) regarding demographic status, living arrangements prior to institutionalization, and reasons for institutionalization. For subjects who had died since baseline (Part 3), information was again gathered through interviews with proxies. Questions covered nursing home admissions and date and place of death. In both waves, a proxy was substituted if the subject was hospitalized (or institutionalized since baseline), too ill, cognitively not able to respond, or deceased. Survey data were linked to Medicare/Medicaid health utilization records. The baseline data are archived at NACDA as ICPSR Study No. 6718, and the followup data are archived as ICPSR Study No. 2592 and linkable to the baseline data. * Dates of Study: 1990-1994 * Study Features: Longitudinal * Sample Size: ** 1990-1: 3,485 (Baseline) ** 1994: 2,601 (Followup) Links: * 1990-1991 Baseline ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06718 * 1994 Follow-up ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02592

Proper citation: National Survey of Self-Care and Aging (RRID:SCR_013456) Copy   

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http://www.ssc.wisc.edu/nsfh/home.htm

A national sample survey dataset covering a wide variety of issues on American family life beginning in 1987-88 and at two subsequent timepoints1992-93 and 2001-03. Topics covered included detailed household composition, family background, adult family transitions, couple interactions, parent-child interactions, education and work, health, economic and psychological well-being, and family attitudes. The first wave interviewed 13,017 respondents, including a main cross-section sample of 9,643 persons aged 19 and over plus an oversample of minorities and households containing single-parent families, step-families, recently married couples, and cohabiting couples. In each household, a randomly selected adult was interviewed. In addition, a shorter, self-administered questionnaire was filled out by the spouse or cohabiting partner of the primary respondent. Interviews averaged about 100 minutes, although interview length varied considerably with the complexity of the respondent''s family history. In 1992-94, an in-person interview was conducted of all surviving members of the original sample, the current spouse or cohabiting partner, and with the baseline spouse or partner in cases where the relationship had ended. Telephone interviews were conducted with focal children who were aged 5-12 and 13-18 at baseline. Short proxy interviews were conducted with a surviving spouse or other relative in cases where the original respondent died or was too ill to interview. A telephone interview was conducted with one randomly selected parent of the main respondent. In 2001-03, telephone interviews were conducted with: Surviving members of the original respondents who had a focal child age 5 or over at baseline; the baseline spouse/partner of these original respondents, whether or not the couple was still together; the focal children who were in the household and aged 5-18 at baselinemost of whom were interviewed at wave 2; and all other original respondents age 45 or older in 2000, and their baseline spouse/partner. Oversamples: Blacks, 9.2%; Mexican-Americans, 2.4%; Puerto Ricans, 0.7% * Dates of Study: 1987-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size (original respondents): ** Wave I (1987-88): 13,017 ** Wave II (1992-93): 10,007 ** Wave III (2001-03): 8,990 Links: * Wave I (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06041 * Wave II (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06906 * Wave III (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00171

Proper citation: National Survey of Families and Households (RRID:SCR_013388) Copy   

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http://www.diw.de/en/soep

A wide-ranging representative longitudinal study of private households that permits researchers to track yearly changes in the health and economic well-being of older people relative to younger people in Germany from 1984 to the present. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators. In addition to standard demographic information, the GSOEP questionnaire also contains objective measuresuse of time, use of earnings, income, benefit payments, health, etc. and subjective measures - level of satisfaction with various aspects of life, hopes and fears, political involvement, etc. of the German population. The first wave, collected in 1984 in the western states of Germany, contains 5,921 households in two randomly sampled sub-groups: 1) German Sub-Sample: people in private households where the head of household was not of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality; 2) Foreign Sub-Sample: people in private households where the head of household was of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality. In each year since 1984, the GSOEP has attempted to re-interview original sample members unless they leave the country. A major expansion of the GSOEP was necessitated by German reunification. In June 1990, the GSOEP fielded a first wave of the eastern states of Germany. This sub-sample includes individuals in private households where the head of household was a citizen of the German Democratic Republic. The first wave contains 2,179 households. In 1994 and 1995, the GSOEP added a sample of immigrants to the western states of Germany from 522 households who arrived after 1984, which in 2006 included 360 households and 684 respondents. In 1998 a new refreshment sample of 1,067 households was selected from the population of private households. In 2000 a sample was drawn using essentially similar selection rules as the original German sub-sample and the 1998 refreshment sample with some modifications. The 2000 sample includes 6,052 households covering 10,890 individuals. Finally, in 2002, an overrepresentation of high-income households was added with 2,671 respondents from 1,224 households, of which 1,801 individuals (689 households) were still included in the year 2006. Data Availability: The data are available to researchers in Germany and abroad in SPSS, SAS, TDA, STATA, and ASCII format for immediate use. Extensive documentation in English and German is available online. The SOEP data are available in German and English, alone or in combination with data from other international panel surveys (e.g., the Cross-National Equivalent Files which contain panel data from Canada, Germany, and the United States). The public use file of the SOEP with anonymous microdata is provided free of charge (plus shipping costs) to universities and research centers. The individual SOEP datasets cannot be downloaded from the DIW Web site due to data protection regulations. Use of the data is subject to special regulations, and data privacy laws necessitate the signing of a data transfer contract with the DIW. The English Language Public Use Version of the GSOEP is distributed and administered by the Department of Policy Analysis and Management, Cornell University. The data are available on CD-ROM from Cornell for a fee. Full instructions for accessing GSOEP data may be accessed on the project website, http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * Dates of Study: 1984-present * Study Features: Longitudinal, International * Sample Size: ** 1984: 12,290 (GSOEP West) ** 1990: 4,453 (GSOEP East) ** 2000: 20,000+ Links: * Cornell Project Website: http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * GSOEP ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00131

Proper citation: German Socio-Economic Panel (RRID:SCR_013140) Copy   

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http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04219

A collection of data of an epidemiological study of chronic disease in the oldest old based on information collected from Kaiser Permanente facilities in Northern California (KPNC). The initial sample was drawn from the Kaiser''s active membership lists for the years 1971 and 1980. The sample was restricted to members that had a Multiphasic Health Checkup examination (MHC) within 7 years of the baseline date. The sample was stratified to attain equal numbers of observations (1,000 in each) in three sex-age cells for each cohort: 65-69, 70-79, and 80+. Each cohort was followed for 9 years through existing medical records and computerized hospitalization tapes. Mortality data was collected by matching the sampled data with state Vital Statistics data for an additional 3 years for a total follow-up time of 12 years. Part 1 of the data collections consists of Master Records, which includes information from the morbidity review, in which over 35 chronic conditions or diagnoses were abstracted from the member charts, as well as detailed diagnostic criteria for the major conditions. A prevalence review was done, which included the 4 years prior to the baseline date for these same conditions. Recurrent disease is included for the following conditions: cancers, myocardial infarction, and various forms of strokes. A detailed account of outpatient health services use, and data from the multiphasic health checkup, which was administered to each participant during the nine yearly follow-ups, are also included in the Master Records file. The labs and procedures included: chemistry, hematology, urinalysis, bacteriology, chest x-ray, GI x-ray, ultrasound, CT/MRI, mammogram, resting ECG, treadmill ECG, echocardiograms, nuclear scans, outpatient breast biopsy, cystoscopy, and cataract surgery. Inpatient utilization includes all hospitalizations, procedures done during a hospital stay, length of stay, admitting/discharge diagnosis. Part 2, Hospitalization, contains records of causes and dates of hospitalizations and discharges and nursing home admissions. There is also a section on incomplete reviews and the reasons for them. Demographic information and some lifestyle information from the multiphasic health checkup (e.g., smoking, alcohol, and Body Mass Index) are also in this file. Data Availability: These datasets have been documented extensively and are available from the ICPSR (Study No. 4219). * Dates of Study: 1971-1992 * Study Features: Longitudinal, Anthropometric Measures * Sample Size: ** 1971 cohort: 2,877 (baseline) ** 1980 cohort: 3,113 (baseline) ** 1971 & 1980: 5,990 ** Hospitalization: 14,730 Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04219 * HSRR: http://wwwcf.nlm.nih.gov/hsrr_search/view_hsrr_record_table.cfm?TITLE_ID=381&PROGRAM_CAME=toc_with_source2.cfm

Proper citation: Epidemiology of Chronic Disease in the Oldest Old (RRID:SCR_013466) Copy   

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http://aging.brain-map.org/

The Aging, Dementia and Traumatic Brain Injury Study is a detailed neuropathologic, molecular and transcriptomic characterization of brains of control and TBI exposure cases from a unique aged population-based cohort from the Adult Changes in Thought (ACT) study. The study contains six data sets: histology and immunohistochemistry, in situ hybridization, rna-seq, protein quantification by luminex, isoprostane quantification, and specimen metadata.

Proper citation: Aging Dementia and Traumatic Brain Injury Study (RRID:SCR_014554) Copy   

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http://www.stanford.edu/~yesavage/GDS.html

A basic screening measure for depression in older adults. They have a FREE iPhone APP and a FREE ANDROID APP that allows you to do the 15-item GDS on your phone and automatically calculate the results. They provide no interpretation of results, but patients with scores higher than 5 should be interviewed carefully. These apps are also available through the Android Marketplace or iTunes stores on your phones. Note: This page is under continuous development but they will try to keep translations of the scale available. Anyone with their own translation can submit it and they''ll post it.

Proper citation: Geriatric Depression Scale (RRID:SCR_008739) Copy   

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http://psychiatry.stanford.edu/alzheimer/files/gpkt.pdf

50 question test devised by Javaid Sheikh, M.D., and Jerome A. Yesavage, M.D., of the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine, to test one''s knowledge of certain aspects of geriatric psychiatry, including five broad areas: psychodynamics and psychotherapy, cognitive assessment, psychosocial and developmental aspects, psychopharmacology, and clinical syndromes.

Proper citation: Geriatric Psychiatry Knowledge Test (RRID:SCR_009029) Copy   

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http://www.loni.usc.edu/Software/LOVE

A versatile 1D, 2D and 3D data viewer geared for cross-platform visualization of stereotactic brain data. It is a 3-D viewer that allows volumetric data display and manipulation of axial, sagittal and coronal views. It reads Analyze, Raw-binary and NetCDF volumetric data, as well as, Multi-Contour Files (MCF), LWO/LWS surfaces, atlas hierarchical brain-region labelings ( Brain Trees). It is a portable Java-based software, which only requires a Java interpreter and a 64 MB of RAM memory to run on any computer architecture. LONI_Viz allows the user to interactively overlay and browse through several data volumes, zoom in and out in the axial, sagittal and coronal views, and reports the intensities and the stereo-tactic voxel and world coordinates of the data. Expert users can use LONI_Viz to delineate structures of interest, e.g., sulcal curves, on the 3 cardinal projections of the data. These curves then may be use to reconstruct surfaces representing the topological boundaries of cortical and sub-cortical regions of interest. The 3D features of the package include a SurfaceViewer and a full real-time VolumeRenderer. These allow the user to view the relative positions of different anatomical or functional regions which are not co-planar in any of the axial, sagittal or coronal 2D projection planes. The interactive part of LONI_Viz features a region drawing module used for manual delineation of regions of interest. A series of 2D contours describing the boundary of a region in projection planes (axial, sagittal or coronal) could be used to reconstruct the surface-representation of the 3D outer shell of the region. The latter could then be resliced in directions complementary to the drawing-direction and these complementary contours could be loaded in all tree cardinal views. In addition the surface object could be displayed using the SurfaceViewer. A pre-loading data crop and sub-sampling module allows the user to load and view practically data of any size. This is especially important when viewing cryotome, histological or stained data-sets which may reach 1GB (109 bytes) in size. The user could overlay several pre-registered volumes, change intensity colors and ranges and the inter-volume opacities to visually inspect similarities and differences between the different subjects/modalities. Several image-processing aids provide histogram plotting, image-smoothing, etc. Specific Features: * Region description DataBase * Moleculo-genetic database * Brain anatomical data viewer * BrainMapper tool * Surface (LightWave objects/scenes) and Volume rendering tools * Interactive Contour Drawing tool Implementation Issues: * Applet vs. Application - the software is available as both an applet and a standalone application. The former could be used to browse data from within the LONI database, however, it imposes restrictions on file-size, Internet connection and network-bandwidth and client/server file access. The later requires a local install and configuration of the LONI_Viz software * Extendable object-oriented code (Java), computer architecture independent * Complete online software documentation is available at http://www.loni.ucla.edu/LONI_Viz and a Java-Class documentation is available at http://www.loni.ucla.edu/~dinov/LONI_Vis.dir/doc/LONI_Viz_Java_Docs.html

Proper citation: LONI Visualization Tool (RRID:SCR_000765) Copy   

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http://www.brainnet.net

A neuroscience network providing access to a database of brain, cognitive, genomic and clinical data for research and scientific publication. Data include genomic information, electrical measures of brain and body function, structural and functional MRI, and cognitive and medical history. All data are collected using a standardized assessment protocols. These data are from healthy people and those experiencing a range of brain-related illnesses.

Proper citation: BRAINnet-Brain Research And Integrative Neuroscience Network (RRID:SCR_000712) Copy   

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http://www.nottingham.ac.uk/medicine/research/index.aspx

A school for education on community health sciences based out of the University of Nottingham. The school contains the divisions of epidemiology, public health, primary care, psychiatry, rehabilitation and aging. The common thread running through each of these divisions is that they all deal with communities, whether these be the entire populations of a region or country, or particular patient groups such as the mentally ill, people with disabilities, and elderly people.

Proper citation: Community Health Sciences (RRID:SCR_000794) Copy   

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http://adni-info.org/

Database of the results of the ADNI study. ADNI is an initiative to develop biomarker-based methods to detect and track the progression of Alzheimer's disease (AD) that provides access to qualified scientists to their database of imaging, clinical, genomic, and biomarker data.

Proper citation: ADNI - Alzheimer's Disease Neuroimaging Initiative (RRID:SCR_003007) Copy   

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http://www.swanrepository.com/

The SWAN Repository is the biologic specimen bank of the Study of Women''s Health Across the Nation (SWAN). SWAN is a National Institutes of Health funded, multi-site, longitudinal study of the natural history of the midlife including the menopausal transition. The overall goal of SWAN is to describe the chronology of the biological and psychosocial characteristics that occur during midlife and the menopausal transition. In addition, SWAN is describing the effect of the transition and its associated characteristics on subsequent health and risk factors for age related chronic diseases. SWAN was designed to collect and analyze information on demographics, health and social characteristics, reproductive history, pre-existing illness, physical activity, and health practices of mid-life women in multi-ethnic, community-based samples; elucidate factors that differentiate symptomatic from asymptomatic women during the menopausal transition; identify and utilize appropriate markers of the aging of the ovarian-hypothalamo-pituitary axis and relate these markers to alterations in menstrual cycle characteristics as women approach and traverse the menopause; and explain factors that differentiate women most susceptible to long-term pathophysiological consequences of ovarian hormone deficiency from those who are protected. The biological specimen bank can also be linked by identification number (not by participant name) to data collected in the Core SWAN protocol. The specimen bank can also be linked with data from the Daily Hormone Study as well as menstrual calendars. Types of data include: epidemiological data, psychosocial data, physical measures, as well as data from assays (endocrine and cardiovascular information). SWAN has seven clinical study sites located in six states, two in California, and one each in Chicago, Boston, Detroit area, northern New Jersey and Pittsburgh. The SWAN cohort was recruited in 1996/7 and consists of 3302 African American, Caucasian, Chinese American, Hispanic and Japanese American women. Cohort members complete an annual clinic visit. The Core Repository includes over 1.8 million samples from the first 11 years of specimen collection. This includes samples from annual visits and samples from the Daily Hormone Sub-study (DHS). During an Annual visit, participants provide materials for up to 24-28 aliquots to be incorporated into the Repository. During a DHS visit, a participant provides 6 serum samples and between ~30-50 urine samples depending upon the length of her menstrual cycle. DHS participants (887) provide urine samples collected throughout one menstrual cycle each year. A typical DHS collection consists of a blood draw plus collection of 10 ml of urine daily throughout the month-long menstrual cycle, up to 50 days. DHS Repository samples consist of 6 serum samples and 30 5 ml urine samples. Specimen collection occurs from the time of menstrual bleed to the subsequent menstrual bleed or up to 50 days, whichever come first. The current DHS collection consists of more than 200,000 specimens stored in 5 ml vials. The SWAN DNA Repository currently contains extracted diluted DNA from 1538 SWAN participants. B-lymphocytes were transformed with Epstein Barr virus, and the resulting transformed b-cells aliquoted. Information about using these transformed cells for genomic or proteomic studies is available. DNA has been extracted from one aliquot (per woman) of the immortalized cells using the Puregene system. There was an average DNA yield of 217.0 mg/mL and a A260/A280 average ratio of 1.86. This DNA, in turn, has been aliquoted into 20ng/1 ml units for release by the DNA Repository. Samples are free of personal identifiers and collected under consents that allow a broad range of activities related to women''s health. All of these samples are available to researchers who wish to study the midlife and menopausal transition. Scientists who use these specimens can also request data collected during a participant''s annual visit including medical and health history, psychosocial measures, biological measures and anthropometry.

Proper citation: Study of Womens Health Across the Nation (SWAN) Repository (RRID:SCR_008810) Copy   

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http://www.mouse-genome.bcm.tmc.edu/ENU/MutagenesisProj.asp

THIS RESOURCE IS NO LONGER IN SERVICE. For updated mutant information, please visit MMRRC or The Jackson Laboratory. Produces, characterizes, and distributes mutant mouse strains with defects in embryonic and postembryonic development. The goal of the ENU Mutagenesis project III is to determine the function of genes on mouse Chromosome 11 by saturating the chromosome with recessive mutations. The distal 40 cM of mouse Chr 11 exhibits linkage conservation with human Chromosome 17. We are using the chemical N-ethyl-N-nitrosourea (ENU) to saturate wild type chromosomes with point mutations. By determining the function of genes on a mouse chromosome, we can extrapolate to predict function on a human chromosome. We expect many of the new mutants to represent models of human diseases such as birth defects, patterning defects, growth and endocrine defects, neurological anomalies, and blood defects. Because many of the mutations we expect to isolate may be lethal or detrimental to the mice, we are using a unique approach to isolate mutations. This approach uses a balancer chromosome that is homozygous lethal and carries a dominant coat color marker to suppress recombination over a reasonable interval.

Proper citation: Mouse Mutagenesis Center for Developmental Defects (RRID:SCR_007321) Copy   

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http://www.bsl.ece.vt.edu/index.php?page=ara-dataset

Dataset of structural MR images of 70 subjects collected during 2008-2010 across a wide range of ages. The dataset also contains resting state fMRI for most subjects. The structural images are T1 weighted, T2 weighted-FLAIR, 25 direction DTI, and the T1 mapping DESPOT [1] sequence. Reconstructed T1 maps for each subject are also available. The aquisition protocol was designed to study structural differences between young and older adults including both shape and intensity changes. Anonymized DICOM image sessions and processed images for each subject are available. The data is licensed under the Creative Commons Attribution License. It may be used freely for commercial, academic, or other use, as long as the original source is properly cited. http://www.bsl.ece.vt.edu/index.php?page=ara-dataset

Proper citation: Age Related Atrophy Dataset (RRID:SCR_009528) Copy   

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http://www.bic.mni.mcgill.ca/ServicesAtlases/NIHPD-obj2

An unbiased magnetic resonance imaging template brain volume for pediatric data from birth to 4.5y age range. These volumes were created using 317 scans from 108 children enrolled in the NIH-funded MRI study of normal brain development (Almli et al., 2007, Evans and Group 2006). Templates are constructed for different age ranges. Each age range includes an average T1w, T2w, PDw maps normalized between 0 and 100. Also each age range includes a binary brain mask. Tools for using these atlases can be found in the Software section.

Proper citation: NIHPD Objective 2 atlases (birth - 4.5 years) (RRID:SCR_008795) Copy   

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http://www.grc.nia.nih.gov/

A research program of the NIA which focuses on neuroscience, aging biology, and translational gerontology. The central focus of the program's research is understanding age-related changes in physiology and the ability to adapt to environmental stress, and using that understanding to develop insight about the pathophysiology of age-related diseases. The IRP webpage provides access to other NIH resources such as the Biological Biochemical Image Database, the Bioinformatics Portal, and the Baltimore Longitudinal Study of Aging., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Intramural Research Program (RRID:SCR_012734) Copy   

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http://mrtools.mgh.harvard.edu/index.php/TBR

A tool for functional connectivity analysis of fcMRI data that maps functional data from individual sessions onto a priori spatial components from group level parcellations.

Proper citation: Template Based Rotation (RRID:SCR_012157) Copy   

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http://www.stemcure.com/stemcure.php?page=tissue-banking

Stunning scientific discoveries have opened the possibilities for us to preserve our unaltered youth and healthy genome almost indefinitely. To do this, we propose to our clients to allow us to isolate and cryopreserve a small piece of tissue from their body in our unique tissue bank via a simple skin biopsy procedure. Our methods provide 100% assurance that the tissues we preserve will remain viable, healthy and young. We guarantee that these tissues will correspond to the age and physical status from the time when they were collected and can be preserved for many decades to come. In that way we strive to accomplish mankind''s most important dream ������?? to stop the hands of time and reduce the effects of aging. We will bring to a standstill the genetic program that is encoded in our cells that cause us to age and grow older. What is unique about this procedure, from a biological perspective, is that even as a person continues to live longer and get older, at the same time, part of his body remains invariably young. This well-preserved critical piece of tissue contains all the vitally important genetic material that harnesses the potential for invigorating one''s health. It will play an essential role in the rehabilitation and rejuvenation of human beings in the future. Recent studies have shown that certain parts of our skin are the most optimal material to be used for our program. For this purpose we utilize fibroblasts, the cells of the connective tissues located at the bottom side of our epidermis. In order to properly extract fibroblasts from our skin we have to perform a basic skin biopsy procedure. If you decide to participate in our program, StemCure will send to you the standard Tissue Collection Kit. This Kit contains detailed instructions for how your doctor should perform the biopsy procedure, as well as all the necessary components for the collection and transportation of a biopsy sample. StemCure will immediately start processing your biopsy samples once they arrive by overnight shipment to one of our laboratory facilities. We perform this very elaborate procedure because we understand perfectly well that our ultimate goal is not just the preservation of your tissue samples, but rather their subsequent utilization for the production of embryonic stem cells, which is the next stage of our program. Before subjecting the samples of your tissue to freezing, we will use the skin tissue to initiate the growth of the cell culture. After initial testing of the cell culture for viability and physiological activity, we will start its preparation for cyropreservation. StemCure will do everything in its power to ensure that the ������??Youth Genome������?? of our clients is safely protected and will remain a viable source for their healthy disease-free future.

Proper citation: StemCure Tissue Banking (RRID:SCR_010538) Copy   

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http://www.nimh.nih.gov/labs-at-nimh/research-areas/research-support-services/hbcc/index.shtml

A collection of brain tissue from individuals suffering from schizophrenia, bipolar disorder, depression, anxiety disorders, and substance abuse, as well as healthy individuals. The research mission of the NIMH Brain Bank is to better understand the underlying biological mechanisms and pathways that contribute to schizophrenia and other neuropsychiatric disorders, as well as to study normal human brain development.

Proper citation: NIMH Brain Tissue Collection (RRID:SCR_008726) Copy   

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