19276 results for "Buy fc 26 coins Buyfc26coins.com is EA Sports official for FC 26 coins This is the best service ever..VBsp"

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• Normal sample for patient SA224

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA224

  Dataset EGAD00001009548

• Normal sample for patient SA214

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA214

  Dataset EGAD00001009547

• Normal sample for patient SA212

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA212

  Dataset EGAD00001009546

• Normal sample for patient SA211

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA211

  Dataset EGAD00001009545

• Normal sample for patient SA101

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA101

  Dataset EGAD00001009544

• Tumour sample for patient SA285

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA285

  Dataset EGAD00001009543

• Tumour sample for patient SA294

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA294

  Dataset EGAD00001009542

• Tumour sample for patient SA399

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA399

  Dataset EGAD00001009541

• Tumour sample for patient SA284

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA284

  Dataset EGAD00001009540

• Tumour sample for patient SA277

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA277

  Dataset EGAD00001009539

• Tumour sample for patient SA271

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA271

  Dataset EGAD00001009538

• Tumour sample for patient SA237

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA237

  Dataset EGAD00001009537

• Tumour sample for patient SA233

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA233

  Dataset EGAD00001009536

• Tumour sample for patient SA231

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA231

  Dataset EGAD00001009535

• Tumour sample for patient SA229

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA229

  Dataset EGAD00001009534

• Tumour sample for patient SA228

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA228

  Dataset EGAD00001009533

• Tumour sample for patient SA226

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA226

  Dataset EGAD00001009532

• Tumour sample for patient SA225

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA225

  Dataset EGAD00001009531

• Tumour sample for patient SA224

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA224

  Dataset EGAD00001009530

• Tumour sample for patient SA214

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA214

  Dataset EGAD00001009529

• Tumour sample for patient SA212

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA212

  Dataset EGAD00001009528

• Tumour sample for patient SA101

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA101

  Dataset EGAD00001009527

• Tumour sample for patient SA278

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA278

  Dataset EGAD00001009526

• Tumour sample for patient SA234

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA234

  Dataset EGAD00001009525

• Tumour sample for patient SA230

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA230

  Dataset EGAD00001009524

• Tumour sample for patient SA211

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA211

  Dataset EGAD00001009523

• Tumour sample for patient SA232

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA232

  Dataset EGAD00001009522

• Tumour sample for patient SA597

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA597

  Dataset EGAD00001009521

• Tumour sample for patient SA296

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA296

  Dataset EGAD00001009520

• Tumour sample for patient SA420

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA420

  Dataset EGAD00001009519

• Tumour sample for patient SA409

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA409

  Dataset EGAD00001009518

• Tumour sample for patient SA533

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA533

  Dataset EGAD00001009517

• WGS data for manuscript titled: Multi-omic features of oesophageal adenocarcinoma in patients treated with preoperative neoadjuvant therapy

  WGS data for manuscript titled: Multi-omic features of oesophageal adenocarcinoma in patients treated with preoperative neoadjuvant therapy

  Dataset EGAD00001008646

• A95628B

  Whole genome sequencing for single cells for library A95628B 1335 samples; filetype=bam

  Dataset EGAD00001008221

• A95618A

  Whole genome sequencing for single cells for library A95618A 876 samples; filetype=bam

  Dataset EGAD00001008220

• A96190A

  Whole genome sequencing for single cells for library A96190A 1833 cells; filetype=bam

  Dataset EGAD00001007620

• A95668B

  Whole genome sequencing for single cells for library A95668B 1905 cells; filetype=bam

  Dataset EGAD00001007609

• A95623A

  Whole genome sequencing for single cells for library A95623A 1897 cells; filetype=bam

  Dataset EGAD00001007607

• A96178A

  Whole genome sequencing for single cells for library A96178A 788 cells; filetype=bam

  Dataset EGAD00001007115

• Raw DNA and RNA data from breast cancer organoids, control samples and biopsies

  Whole genome sequencing data for primary tumors, matching control material from blood and their corresponding organoid. Whole transcriptome data for organoids.

  Dataset EGAD00001003751

• Genome Landscape of High-Grade Serous Ovarian Cancer

  Patients with high-grade serous ovarian cancer (HGSC) have experienced little improvement in overall survival, and standard treatment has not advanced beyond platinum-based combination chemotherapy, during the past 30 years. To understand the drivers of clinical phenotypes better, here we use whole-genome sequencing of tumour and germline DNA samples from 92 patients with primary refractory, resistant, sensitive and matched acquired resistant disease. We show that gene breakage commonly inactivates the tumour suppressors RB1, NF1, RAD51B and PTEN in HGSC, and contributes to acquired chemotherapy resistance. CCNE1 amplification was common in primary resistant and refractory disease. We observed several molecular events associated with acquired resistance, including multiple independent reversions of germline BRCA1 or BRCA2 mutations in individual patients, loss of BRCA1 promoter methylation, an alteration in molecular subtype, and recurrent promoter fusion associated with overexpression of the drug efflux pump MDR1.

  Study EGAS00001000397

• Improved detection of colibactin-induced mutations by genotoxic E. coli in organoids and colorectal cancer

  Co-culture of intestinal organoids with a colibactin-producing pks+ E. coli strain (EcC) revealed mutational signatures also found in colorectal cancer (CRC). E. coli Nissle 1917 (EcN) remains a commonly used probiotic, despite harboring the pks operon and inducing double strand DNA breaks. We determine the mutagenicity of EcN and three CRC-derived pks+ E. coli strains with an analytical framework based on sequence characteristic of colibactin-induced mutations. All strains, including EcN, display varying levels of mutagenic activity. Furthermore, a machine learning approach attributing individual mutations to colibactin reveals that patients with colibactin-induced mutations are diagnosed at a younger age and that colibactin can induce a specific APC mutation. These approaches allow the sensitive detection of colibactin-induced mutations in ~12% of CRC genomes and even in whole exome sequencing data, representing a crucial step towards pinpointing the mutagenic activity of distinct pks+ E. coli strains.

  Study EGAS50000000212

• Spatially resolved niche and tumor microenvironmental alterations in gastric cancer peritoneal metastases

  Peritoneal metastases (PM) in gastric cancer (GC) portend a poor prognosis, yet our understanding of tumor microenvironmental (TME) characteristics associated with GCPM remain limited. Here, we analyzed intrinsic genomic alterations and transcriptomic programs predictive of GCPM in a prospective cohort of 248 patients, identifying CDH1, PIGR, and ELF3 mutations as predictors. By inspecting the spatial dynamics of the TME, we find that tumor compartment infiltration of pro-tumorigenic cell types such as inflammatory cancer-associated fibroblasts (CAFs) predict peritoneal recurrence. Next, in a cross-sectional study of 205 samples from 55 patients, distinct pathways and immune compositions in GCPM relative to liver metastases highlight the TME's significance in transcoelomic metastases. Notably, several putative therapeutic targets exhibited distinct expression patterns between PTs and PMs. Our findings highlight transcriptomic variations and niche reprogramming in the GCPM peritoneal environment, revealing roles of myeloid dendritic cells, effector memory CD8+ T cells, and CAFs in metastatic progression.

  Study EGAS50000000501

• Spatial and temporal transcriptomics of medulloblastoma with chromothripsis identifies multiple genetic clones that resist to treatment and lead to relapse

  From all paediatric brain tumours, medulloblastomas with chromothripsis, a form of genome instability leading to massive genome rearrangements, are particularly aggressive. To dissect the complex biology underlying the aggressiveness of chromothriptic medulloblastomas, we applied spatial transcriptomics to i) chromothriptic and non-chromothriptic medulloblastomas from the same molecular subgroup (n=13) and ii) patient-derived xenografts from chromothriptic medulloblastoma, from the minimal residual disease stage to regrown tumours (n=11). Chromothriptic medulloblastomas showed higher spatial intra-tumour heterogeneity, proliferation and stemness, but lower immune infiltration and differentiation, as compared with non-chromothriptic medulloblastomas. Spatial mapping of genetic clones identified phenotypic features such as degree of differentiation, proliferation and immune infiltration enriched in specific clones. Cells from multiple genetic clones resisted treatment and gave rise to relapse in patient-derived xenografts of chromothriptic medulloblastoma. We identified a potential role of tumour microtubes in treatment resistance in chromothriptic medulloblastoma.

  Study EGAS00001007128

• Haemoglobin_E_beta_thalassaemia_in_a_patient_group_from_Sri_Lanka

  Exome sequencing of 32 patient samples from Sri Lanka with the condition haemoglobin E beta thalassaemia

  Study EGAS00001000626

• RNA-sequencing from duodenal bipsies of Celiac disease patients

  Total RNA was extracted from the PaxFPE biopsy specimens (n = 116)

  Study EGAS50000000337

• Genomic profiling of two pathogenic germline truncating variants of BRCA2 confer different haploinsufficiency phenotype

  Observation of the loss of heterozygosity of BRCA2

  Study EGAS50000000613

• MIBS MGS

  Metagenomic sequencing of the human gut in Maastricht IBS studies, cases and controls.

  Study EGAS00001001924

• RNA-seq of human embryonic heart, lung, and cerebellum

  Characterization of cell types in the human embronic heart, lung, and cerebellum.

  Study EGAS00001004375

• BAM files ChIP-Seq

  Data from the paper Context-specific Effects of TGFβ/SMAD3 in Cancer Are Modulated by the Epigenome. Tufegdzic et al, Cell Reports 2015

  Dataset EGAD00001001669