UkrAD
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB64640 | ENA |
REPOSITORIES: ENA
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Project description:We compared the expression profiles of papillary thyroid tumors from the Chernobyl Tissues Bank (CTB) with tumors from French patients with no history of exposure to radiations. Keywords: papillary thyroid cancer vs. patient-matched healthy adjacent thyroid thyroid papillary cancer vs. patient-matched adjacent nontumor thyroid tissues. -14 tumors from France -12 tumors from Ukraine
2007-07-11 | E-GEOD-3950 | biostudies-arrayexpress
Project description:Affymetrix single nucleotide polymorphism (SNP) array data were collected to study genome-wide patterns of genomic variation across a broad geographical range of Island Southeast Asian populations. This region has experienced an extremely complex admixture history. Initially settled ~50,000 years ago, Island Southeast Asia has since been the recipient of multiple waves of population movements, most recently by Austronesian-speaking groups ultimately from Neolithic mainland Asia and later arrivals during the historic era from India and the Middle East. We have genotyped SNPs in ~500 individuals from 30 populations spanning this entire geographical region, from communities close to mainland Asia through to New Guinea. Particular attention has been paid to genomic data that are informative for population history, including the role of recent arrivals during the historic era and admixture with archaic hominins.
2017-08-02 | GSE80534 | GEO
Project description:This dataset encompassing the profiles of 150 lung cancer tumors was developed to serve as test dataset in the SBV IMPROVER Diagnostic Signature Challenge (sbvimprover.com). The aim of this subchallenge was to verify that it is possible to extract a robust diagnostic signature from gene expression data that can identify stages of different types of lung cancer. Participants were asked to develop and submit a classifier that can stratify lung cancer patients in one of four groups M-bM-^@M-^S Stage 1 of Adenocarcinoma (AC Stage 1), Stage 2 of Adenocarcinoma (AC Stage 2), Stage 1 of Squamous cell carcinoma (SCC Stage 1) or Stage 2 of Squamous cell carcinoma (SCC Stage 2). The classifier could be built by using any publicly available gene expression data with related histopathological information and was tested on the independent dataset described here. 150 non-small cell lung cancer tumors (adenocarcinoma, AC and squamous cell carcinoma, SCC) of stages I and II were collected by surgical resection from patients who have provided consent. Adenosquamous and large cell tumor samples were excluded. The number of smokers and non-smokers was balanced: there were 41 AC1 (adenocarcinoma stage I), 36 AC2, 34 SCC1, and 39 SCC2 samples. Study pathologists at each of the seven sites (Lebanon, Republic of Moldova, Romania, Russian Federation, Ukraine, Vietnam and United States of America) reviewed both the tumor permanent sections and the frozen sections of the samples. Clinical information was also collected about tumor staging, history of prior cancers, lymph node involvement by lymph node sampling/dissection, smoking history, age, gender.
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Project description:As a historical nomadic group in Central Asia, Kazaks have mainly inhabited the steppe zone from the Altay Mountains in the East to the Caspian Sea in the West. Fine scale characterization of the genetic profile and population structure of Kazaks would be invaluable for understanding their population history and modeling prehistoric human expansions across the Eurasian steppes. With this mind, we characterized the maternal lineages of 200 Kazaks from Jetisuu at mitochondrial genome level. Our results reveal that Jetisuu Kazaks have unique mtDNA haplotypes including those belonging to the basal branches of both West Eurasian (R0, H, HV) and East Eurasian (A, B, C, D) lineages. The great diversity observed in their maternal lineages may reflect pivotal geographic location of Kazaks in Eurasia and implies a complex population history. Comparative analyses of mitochondrial genomes of human populations in Central Eurasia reveal a common maternal genetic ancestry for Turko-Mongolian speakers and their expansion being responsible for the presence of East Eurasian maternal lineages in Central Eurasia. In addition, our analyses indicate maternal genetic affinity between the Sherpas from the Tibetan Plateau with the Turko-Mongolian speakers.
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Project description:Restif2006 - Whooping cough
This model is described in the article:
Integrating life history and
cross-immunity into the evolutionary dynamics of pathogens.
Restif O, Grenfell BT.
Proc. Biol. Sci. 2006 Feb; 273(1585):
409-416
Abstract:
Models for the diversity and evolution of pathogens have
branched into two main directions: the adaptive dynamics of
quantitative life-history traits (notably virulence) and the
maintenance and invasion of multiple, antigenically diverse
strains that interact with the host's immune memory. In a first
attempt to reconcile these two approaches, we developed a
simple modelling framework where two strains of pathogens,
defined by a pair of life-history traits (infectious period and
infectivity), interfere through a given level of
cross-immunity. We used whooping cough as a potential example,
but the framework proposed here could be applied to other acute
infectious diseases. Specifically, we analysed the effects of
these parameters on the invasion dynamics of one strain into a
population, where the second strain is endemic. Whereas the
deterministic version of the model converges towards stable
coexistence of the two strains in most cases, stochastic
simulations showed that transient epidemic dynamics can cause
the extinction of either strain. Thus ecological dynamics,
modulated by the immune parameters, eventually determine the
adaptive value of different pathogen genotypes. We advocate an
integrative view of pathogen dynamics at the crossroads of
immunology, epidemiology and evolution, as a way towards
efficient control of infectious diseases.
This
version of the model can be used for both the stochastic and the
deterministic simulations described in the article. For
deterministic interpretations with infinite population sizes, set
the population size
N = 1. The model reproduces the deterministic time
courses. Stochastic interpretation with Copasi UI gave results
similar to the article, but was not extensively tested. The
initial conditions for competition simulations can be derived by
equilibrating the system for one pathogen and then adding a
starting concentration for the other.
Originally
created by libAntimony v1.3 (using libSBML 4.1.0-b1)
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BIOMD0000000249.
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2024-09-02 | BIOMD0000000249 | BioModels
Project description:Myanmar locates in the crossroads of South Asia, Southeast Asia, and East Asia, and is known for high culture diversity in different ethnic groups. It is considered to be important for understanding human evolutionary history and genetic diversity in East Eurasia. However, relatively few studies have examined the population structure and demographic history in Myanmar to date. In this study, we analyzed more than 220,000 genome-wide SNPs in 175 new samples of five ethnic groups from Myanmar and compared them with the published data. Our results showed that the Myanmar population is intricately substructured, with the main observed clusters corresponding roughly to western/northern highlanders (Chin, Naga, and Jingpo) and central/southern lowlanders (Bamar and Rakhine). The gene flow inferred from South Asia has a substantial influence (~11%) on the gene pool of central/southern lowlanders rather than western/northern highlanders. The genetic admixture is dated around 650 years ago. These findings suggest that the genome-wide variation in Myanmar was likely shaped by the linguistic, cultural, and historical changes.
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Project description:Migration is essential for the reproduction and survival of many animals, yet little is understood about its underlying molecular mechanisms. We used the salmonid Oncorhynchus mykiss to gain mechanistic insight into smoltification, which is a morphological, physiological, and behavioral transition undertaken by some juveniles that culminates in a seaward migration. This species is experimentally tractable and, unlike common model species, displays intra- and inter-population variation in migration propensity. Migratory individuals can produce non-migratory progeny and vice versa, indicating a high degree of phenotypic plasticity. One potential way that phenotypic plasticity might be linked to variation in migration-related life history tactics is through epigenetic regulation of gene expression. To explore this, we quantitatively measured genome-scale DNA methylation in fin tissue using reduced representation bisulfite sequencing of F2 siblings produced from a cross between steelhead (migratory) and rainbow trout (non-migratory) lines. We identified 57 differentially methylated regions (DMRs) between smolt and resident O. mykiss juveniles. DMRs were of high magnitude, ranging from 20-62% differential methylation between life history types, and over half of the gene-associated DMRs were in transcriptional regulatory regions. Many of the DMRs encode proteins with activity relevant to migration-related transitions (e.g. circadian rhythm pathway, nervous system development, protein kinase activity). This study provides the first evidence of a relationship between epigenetic variation and life history divergence associated with a migration-related transition in any species. Comparing global DNA methyldation profiles (via RRBS) of resident and smolt O. mykiss siblings using caudal fin tissue.
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