16150 results for "free fc coins and points Visit Buyfc26coins.com Alennukset toistuvista ostoista..p4v2"

in 14.14 milliseconds.

• Clonal Evolution and Transcriptional Plasticity Shape Metastatic Dissemination Routes in Prostate Cancer

  This study provides comprehensive insights into the genetic and transcriptomic landscape of prostate cancer, highlighting significant clonal heterogeneity, transcriptional plasticity, and metastatic spread patterns. We examined the clonal evolution and metastatic dissemination of prostate cancer by integrating single-nuclei RNA sequencing (snRNA-seq) and low-pass whole-genome sequencing (WGS) data from 43 spatially distinct tumour samples in five patients with locally advanced disease. By reconstructing the evolutionary trajectories of each tumour, we identified distinct patterns of tumour evolution, including both monophyletic and polyphyletic metastatic dissemination, as well as ongoing primary tumour clonal evolution after metastatic spread. We observed converging changes leading to metastatic potential, such as androgen receptor independence and increased activity in the estrogen, WNT, and JAK/STAT pathways in identified seeding areas. These findings enhance our understanding of the disease's progression and may inform future therapeutic strategies.

  Study EGAS50000000927

• Genomic and transcriptional landscape of P2RY8-CRLF2-positive childhood acute lymphoblastic leukemia

  The mutational and transcriptional landscape of P2RY8-CRLF2-positive ALL was defined in 41 major clone fusion-positive cases including 19 matched diagnosis and relapse pairs by an integrated analysis of whole-exome and RNA sequencing. We detected a variety of frequently subclonal and highly unstable JAK/STAT but also RTK/Ras pathway activating mutations in 76% of cases at diagnosis and virtually all relapses. Unlike P2RAY8-CRLF2 that was lost in 32% of relapses, all other genomic deletions affecting lymphoid development and cell cycle remained stable. Only IKZF1 alterations predominated in relapsing cases and increased from initially 36 to 58% in matched cases. IKZF1¹s transcriptional signature revealed compromised stem cell features with signs of impaired lymphoid differentiation, enhanced focal adhesion, activated hypoxia pathway, deregulated cell cycle and increased drug resistance.

  Study EGAS00001001847

• G&T-seq: parallel sequencing of the genomes and transcriptomes of single cells

  The ability to simultaneously sequence the genome and transcriptome of the same single cell offersa powerful means to dissect functional genetic heterogeneity at the cellular level. Here we describeG&T-seq, a method for separating and sequencing genomic DNA and full-length mRNA from singlecells. By applying G&T-seq to over 220 single cells we reveal cellular properties that cannot beinferred from DNA or RNA sequencing alone, including associations between DNA copy numbervariation and gene expression dosage. We further demonstrate the detection of coding interchromosomalfusions and single nucleotide variants in both the genomes and transcriptomes ofindividual cells. G&T-seq enables the study of genotype-phenotype associations in single cells, andthe investigation of DNA cell lineage trees of healthy and diseased tissues with transcriptome inferredcell types and states.

  Study EGAS00001001204

• Germline RUNX1 Variation and Predisposition to Childhood Acute Lymphoblastic

  Somatic mutations of RUNX1, which encodes the myeloid and lymphoid transcriptional factor RUNX1, are common in both B- and T- acute lymphoid leukemia (ALL) and are associated with poor prognosis of T-ALL. However, there has been no comprehensive investigation of the pattern or prevalence of RUNX1 germline mutation in both B- and T-ALL. Here we report germline RUNX1 variants in 1.23% of B-ALL and 2.11% of T-ALL, identifying 31 unique variants in 62 B-ALL and 18 unique variants in 26 T-ALL children. The majority of frameshift and nonsense variants affected RUNX1 function in transcriptional regulation, hematopoiesis, and cellular proliferation. We identified JAK3 as the most frequent somatic mutation in T-ALL with RUNX1 variants. These results not only identify RUNX1 as a leukemia predisposition gene but also further underline the importance of germline genetic variants to the development of ALL

  Study EGAS00001005403

• PROGRESS/ELEMENT DNA Methylation Study

  An extension to the Early Life Exposures in Mexico to Environmental Toxicants (ELEMENT) birth cohort of Mexico City, the Programming Research in Obesity, GRowth, Environment and Social Stress (PROGRESS) Cohort is an ongoing longitudinal pre-birth cohort, established in 2006 in Mexico City, partnering Icahn School of Medicine at Mount Sinai with Harvard University and the National Institute of Public Health in Mexico, which was designed to study the effects of prenatal exposure to toxic metals, air pollution, phthalates, and stress on childhood development. Pregnant women of 18 years of age and older, pregnant for less than 20 weeks of gestation, had no documentation of heart or kidney disease, no use of steroids or anti-epilepsy drugs, no daily alcohol consumption, had telephone access, and planned to live in Mexico city for the following 3 years, and receiving care through the Mexican Social Security System were initially enrolled (n=1,054). In addition to clinical, demographic and exposure data collected, cord blood was collected to interrogate DNA methylation across the genome for over 300 mother-child dyads. Clinical assessments and exposures were captured during several life stages, including prenatal, infant (0-1 year), youth (1-18 years), and adulthood (mother). The PROGRESS cohort added well-documented phenotyping of children for obesity, metabolic dysfunction, respiratory outcomes, and cardiovascular outcomes, as well as measures of air pollutant, personal care/consumer product, non-chemical stress, and metal mixture exposures. No clinical trials were conducted in this cohort. The data collected in this study should provide a unique resource to investigate DNA methylation as it relates to several environmental exposures and adverse cardiometabolic and neurocognitive health in mothers and children from a prospective birthing cohort. For access to demographic, clinical, and exposure data please directly contact study principal investigators.

  Study phs002754

• Sudden Death in the Young Case Registry

  Knowledge gaps persist about the incidence of and risk factors for sudden death in the young (SDY). The SDY Case Registry is a collaborative effort between the National Institutes of Health, the Centers for Disease Control and Prevention, and the Michigan Public Health Institute. Its goals are to: (1) describe the incidence of SDY in the United States by using population-based surveillance: (2) compile data from SDY cases to create a resource of information and DNA samples for research; (3) encourage standardized approaches to investigation, autopsy, and categorization of SDY cases; (4) develop partnerships between local, state, and federal stakeholders toward a common goal of understanding and preventing SDY; and (5) support families who have lost loved ones to SDY by providing resources on bereavement and medical evaluation of surviving family members. Built on existing Child Death Review programs and as an expansion of the Sudden Unexpected Infant Death Case Registry, the SDY Case Registry achieves its goals by identifying SDY cases, providing guidance to medical examiners/coroners in conducting comprehensive autopsies, evaluating cases through child death review and an advanced review by clinical specialists, and classifying cases according to a standardized algorithm. The SDY Case Registry also includes a process to obtain informed consent from next-of-kin to save DNA for research, banking, and, in some cases, diagnostic genetic testing. The SDY Case Registry will provide valuable incidence data and will enhance understanding of the characteristics of SDY cases to inform the development of targeted prevention efforts. For cases where informed consent has been obtained for research genomic sequencing has been performed. On these cases genomic data, phenotype information and on a limited number of cases redacted autopsy reports will be available through dbGaP.

  Study phs003221

• METABRIC

  Solid tumors are complex tissues composed of a mixture of cancer and normal cells, which complicates the interpretation of their molecular profiles. Normal cell contamination can dilute cancer cell information and tissue architecture is generally not reflected in molecular assays. To address these challenges, we developed a computational approach based on standard Haematoxylin and Eosin-stained sections and demonstrated its power in a discovery cohort of 323 breast tumors and an independent validation cohort of 241 tumors. First, to deconvolute cellular heterogeneity and detect subtle genomic aberrations, we introduced an algorithm based on tumor cellularity to increase the comparability of copy-number profiles between samples. Second, we demonstrated that a predictor for survival integrating image-based and molecular features significantly outperforms classifiers based on single data types. Third, we described and validated a novel, independent prognostic factor based on quantitative analysis of spatial patterns between stromal cells, which are not detectable by molecular assays. Our quantitative methods refine and complement molecular assays of tumor samples and could benefit all large-scale cancer studies.First, to deconvolute cellular heterogeneity and detect subtle genomic aberrations, we introduced an algorithm based on tumor cellularity to increase the comparability of copy-number profiles between samples. Second, we demonstrated that a predictor for survival integrating image-based and molecular features significantly outperforms classifiers based on single data types. Third, we described and validated a novel, independent prognostic factor based on quantitative analysis of spatial patterns between stromal cells, which are not detectable by molecular assays. Our quantitative methods refine and complement molecular assays of tumor samples and could benefit all large-scale cancer studies.

  Study EGAS00000000098

• UK10K NEURO EDINBURGH

  In the UK10K project we propose a series of complementary genetic approaches to find new low frequency/rare variants contributing to disease phenotypes. These will be based on obtaining the genome wide sequence of 4000 samples from the TwinsUK and ALSPAC cohorts (at 6x sequence coverage), and the exome sequence (protein coding regions and related conserved sequence) of 6000 samples selected for extreme phenotypes. Our studies will focus primarily on cardiovascular-related quantitative traits, obesity and related metabolic traits, neurodevelopmental disorders and a limited number of extreme clinical phenotypes that will provide proof-of-concept for future familial trait sequencing. We will analyse directly quantitative traits in the cohorts and the selected traits in the extreme samples, and also use imputation down to 0.1% allele frequency to extend the analyses to further sample sets with genome wide genotype data. In each case we will investigate indels and larger structural variants as well as SNPs, and use statistical methods that combine rare variants in a locus or pathway as well as single-variant approaches. This sample set consists of subjects with schizophrenia recruited from psychiatric in-patient and out-patient facilities in Scotland. All diagnoses are based on standard research procedures and family histories are available. Patients have IQ>70 and the cohort includes the following groups: 100 cases with detailed clinical, cognitive and structural and functional neuroimaging phenotypes; 138 familial cases who are the probands of families where DNA has been collected from other affected members; 162 unrelated individuals. In most cases patients and their families may be re contacted to take part in further studies.For further information on this cohort please contact Andrew McIntosh (andrew.mcintosh@ed.ac.uk).

  Study EGAS00001000117

• Copy numbers in resectable gastric cancer treated with surgery alone

  Purpose: Gastric cancer is a heterogeneous disease requiring stratification to recognize its underlying biology and variable clinical outcome. The Cancer Genome Atlas (TCGA) recognizes four molecular subgroups: Epstein-Barr virus positive (EBV+) and microsatellite instable (MSI) with superior survival compared to genomically stable (GS) and chromosomal instable (CIN). Since classification criteria to distinguish GS from CIN were not defined, alternative markers such as Lauren’s histopathology or CDH1/p53 immunohistochemistry are commonly applied. Here we compared survival of gastric cancer subgroups determined by four methods. Experimental Design: EBV- and microsatellite stable tumors from a total of 309 patients treated with surgery alone were assigned to subgroups by: (i) specific copy number aberrations as determined by TCGA (GS or CIN), (ii) genome instability index (GII; high or low), (iii) Lauren’s classification (diffuse or intestinal), and (iv) CDH1/p53 immunohistochemistry (IHC; aberrant CDH1, normal-, or aberrant p53 expression). Subgroups were associated with cancer-related survival (CRS). Results: Five-year CRS was 42.0% for diffuse and 49.5% for intestinal type tumors, and 57.8% for GS and 41.6% for CIN tumors. Classification by GII or CDH1/p53 IHC did not correlate with CRS. The combination of TCGA and Lauren classifications resulted in four distinct subgroups. Five-year CRS for GS-intestinal (n=24), GS-diffuse (n=57), CIN-intestinal (n=142) and CIN-diffuse (n=86) was 61.4%, 56.5%, 47.6%, and 31.5%, respectively. Conclusions: TCGA’s GS and CIN have additional prognostic value to Lauren’s diffuse and intestinal subgroups in gastric cancer. GS-intestinal, GS-diffuse, CIN-intestinal and CIN-diffuse constitute biologically distinct entities and are suggested as stratification variables for future studies.

  Study EGAS00001007394

• Adipose Tissue Omics In Obesity

  This project used a multi-omics approach to study the adipose tissue transcriptome in humans with and without obesity. Our human cohort included males and females between the ages of 18-80 who underwent elective abdominal surgery at the University of Michigan and the Ann Arbor Veterans Affairs Healthcare System.Patients with advanced cancer or immuncompromised status were excluded. Visceral adipose tissue (VAT/omental) and subcutaneous adipose tissue (SAT/abdominal wall) were collected from subjects with obesity (BMI>=35) at the beginning of elective surgical procedures, placed on ice, and transported back to the laboratory for immediate processing. For adipose tissue stromal cells (ASC) isolation, adipose tissue was digested with Type II collagenase (2 mg/mL in PBS/2% BSA) at 37oC, 60min, centrifuged at 250 rcf, and the stromal-vascular cell pellet was retrieved, plated overnight, and the adherent cells passaged three times to enrich for ASC, which were then frozen in DMEM/F12, 15% fetal calf serum, and 10% DMSO in liquid nitrogen until use. Single nuclear sequencing was performed on preparations from intact adipose tissue. Bulk RNA sequencing and single cell sequencing were performed on ASC isolated from intact adipose tissue and cultured in 2D and 3D culture systems. We currently apply bulk, single cell, and single nuclear sequencing analyses to these tissues. One component of this project studies single nuclear sequencing in nuclei isolated from intact adipose tissues from human subjects with obesity, focusing on depot comparisons (VAT vs. SAT). This cohort also permits comparisons of adipose tissue transcriptomes between male and female subjects, controlling for age and BMI. Primary findings to date include identification of multiple ASC, adipocyte, and endothelial cell (EC) subpopulations, T-cell, and macrophage (MAC) populations that are in concordance with and expand upon other published datasets. Of two dominant ASC subpopulations, one (inflammatory-mesothelial, IM- ASC) is present in VAT, but absent in SAT, while the other (fibroadipogenic, FA-ASC) is present in both VAT and SAT. We identified multiple EC subtypes with features of lymphatic, venous, and arterial EC, and a PRDM16 expressing population with features of an EC progenitor. Immune cell populations match recent experimental validation of lipid-activated macrophage (LAM) phenotypes, TIM4 macrophages, and a prominent population of MRC1/CD206+ resident AT macrophages with expression signatures related to glucocorticoid activation. These data support depot-specific differences in ASC subpopulations and previously unrecognized EC heterogeneity within human AT, with the potential to shed light on functional differences in AT depot and disease state. Planned future studies include ATAC-Seq and other omics analyses. Another component of this project studies transcriptional responses of ASC in vitro to various stimuli, including different matrix environments. Current data includes bulk RNA Sequencing of human ASC from VAT and SAT differentiated into mature adipocytes in hydrogels of differing stiffness (3%, 5%, 10%) to define transcriptional responses to matrix environments of different stiffness. Primary findings to date include enrichment of adipogenesis and lipid and oxidative metabolic gene pathways in adipocytes in 5% relative to 3% hydrogels, while fibrotic gene pathways have been enriched in 3% hydrogels. These data demonstrate that intermediate density matrix promotes a more adipogenic, less fibrotic adipocyte phenotype geared towards increased lipid and aerobic metabolism. Planned future studies include expansion of intact tissues from our cohort studied with single nuclear sequencing, as well as further study of ASC responses in vitro to different biologic stimuli, including different matrix environments.

  Study phs003390