11236 results for "fc coins to buy Visit Buyfc26coins.com FC 26 kolikoni ilmestyivät juuri kun pelasin. Täydellinen ajoitus!.iZqe"

in 27.63 milliseconds.

• HPRU in Respiratory Infections DAC

  DAC to oversee data owned from the HPRU in Respiratory Infections at Imperial College London

  Dac EGAC50000000307

• TFTAK Data Access Committee

  The TFTAK Data Access Committee (TFTAK DAC) oversees access to data generated by TFTAK research projects.

  Dac EGAC50000000885

• RNA sequencing of subchondral bone from patients that underwent a joint replacement surgery due to osteoarthritis.

  Study EGAS00001004476

• Targeted exome DNA sequencing analysis of POETIC Good/Poor Responders to aromatase inhibitors based on change in Ki67

  Study EGAS00001007303

• The study of response to EGFR Blockade in Colorectal Cancer

  Dataset EGAD00001001628

• The study of response to EGFR Blockade in Colorectal Cancer

  Dataset EGAD00001001674

• Chordoma Extension (known cancer genes)

  Extension analysis to pursue candidate genes of interest in chordoma

  Dataset EGAD00001001239

• Novel Approach to High-Throughput Identification and Characterization of Neoantigens

  This study focuses on the development of novel approach for the screening, identification and characterization of neoantigen-specific T-cell receptors (TCRs). The developed method consists of collecting targeted RNA-Seq from a T-cell specific gene panel via 3' end Illumina sequencing combined to Oxford Nanopore based full-length TCR sequencing post T-cell activation. The data generated during this study demonstrates feasibility of the approach on a Jurkat control cell line as well as T-cells isolated from the blood of 3 independent healthy donors.

  Study phs002372

• Evaluation of Local Response of Prostate Cancer to Irradiation Using Multiparametric MRI and MR-Guided Biopsies

  The purpose of this study was to determine the rate of local recurrence in patients with intermediate and high risk prostate cancer treated with radiotherapy. In this study, multiparametric MRI was first performed, and biopsy tissue was acquired from cancerous regions detected on MRI. Blood samples were also taken. DNA and RNA were extracted from tissue taken at baseline. DNA was used for whole exome sequencing (WES). RNA was used for gene expression microarray. Each patient then received radiation therapy with androgen deprivation therapy.

  Study phs001821

• Whole-genome methylation profiling of menstrual stem cells identifies novel biomarkers for endometriosis

  Endometriosis, despite its high prevalence, is underdiagnosed and poorly managed due to lack of clinically validated biomarkers and pathophysiological insight. Menstrual bloodderived stem cells (MenSCs) have been implicated in disease pathogenesis, but their diagnostic potential remains unexplored. We conducted a clinical study (n=42; 19 endometriosis, 23 controls) to assess whether DNA methylation profiles of freshly isolated MenSCs can identify disease-specific biomarkers. Whole-genome methylation sequencing revealed differentially methylated regions (DMRs) enriched in genes linked to hallmarks of endometriosis (e.g., inflammation, tissue remodelling, development). These DMRs robustly distinguished cases from controls, independent of technical and clinical variables. Machine learning models trained and validated on these DMRs achieved high diagnostic performance (specificity 83%, sensitivity 79%). Integration with an independent single-cell RNA sequencing dataset showed that the DMRs may modulate gene expression, further supporting their biological relevance. These findings position MenSC DNA methylation profiling as a promising, non-invasive approach for early endometriosis diagnosis and personalised care.

  Dataset EGAD50000002353