19073 results for "Buy fc coins Buyfc26coins.com is EA Sports official for FC 26 coins They are the best FC seller..nEoY"

in 33.05 milliseconds.

• Correction of a Factor VIII genomic inversion with designer recombinases

  PromethION-based whole genome sequencing of endothelial cells differentiated from patient derived induced pluripotent stem cells (iPSCs) of a hemophilic donor, transiently treated with a Cre recombinase, a RecF8 recombinase, and untreated cells. The dataset contains fastq files with all sequencing reads passing the standard quality filtering.

  Dataset EGAD00001007923

• Whole exome sequencing analysis on patient-derived cervical cancer tissues and respective tumoroids

  Whole exome sequencing (WES) was performed on the matched tumor and organoid pairs from 7 cervical cancer patients. The DNA was sequenced on NovaSeq6000 platform with 8Gb sequencing coverage. WES data was mapped against human reference genome GRCh38 by using BWA (v0.7.5) mapping tool.

  Dataset EGAD00001006166

• RNA sequencing of paediatric glioblastoma in the ICGC PedBrain project

  RNA sequencing of paediatric glioblastoma in the ICGC PedBrain project

  Dataset EGAD00001001944

• Whole Genome Sequencing of Mutifocal HCC tisue

  The differentiation of distinct multifocal hepatocellular carcinoma (HCC): multicentric disease vs. intrahepatic metastases, in which the management and prognosis varies substantively, remains problematic. We aim to stratify multifocal HCC and identify novel diagnostic and prognostic biomarkers by performing whole genome and transcriptome sequencing, as part of a multi-omics strategy.

  Dataset EGAD00001003348

• Breast Cancer Sequential Sampling Targeted Capture

  This study aims to target capture sequence regions of interest from DNA derived from breast cancer patients who received neo-adjuvant chemotherapy. All patients had multiple biopsies performed before chemotherapy. Patients who had residual disease after the course of treatment underwent a further biopsy. We aim to characterise the mutations involved.

  Dataset EGAD00001000784

• Recurrent COPA mutation drives R-spondin-independent Wnt activation in intestinal tumors

  The majority of intestinal tumors harbor mutations in canonical Wnt pathway genes such as APC, whereas the lack of such alterations in a subset of tumors implies alternative tumorigenic routes. Here, we identify recurrent in-frame deletion in COPA, frequently co-occurring with USP9X truncating mutation, in small intestinal adenoma and adenocarcinoma. Patient-derived and CRISPR-engineered small intestinal organoids carrying COPA in-frame deletions exhibit R-spondin-independent yet Wnt ligand-dependent growth, maintaining LGR5 expression without canonical Wnt drivers. Mechanistically, COPA mutation stabilizes frizzled co-receptor LRP6 irrespective of R-spondin, sustaining Wnt pathway activation under growth factor-restricted conditions. USP9X loss further potentiates this phenotype. Unlike canonical Wnt pathway members, COPA encodes the alpha-subunit of coatomer complex I, which engages in vesicle trafficking with little prior linkage to intestinal tumorigenesis. Our findings establish COPA mutation as a novel and atypical intestinal tumor driver and implicate USP9X loss as a cooperating lesion.

  Study JGAS000868

• Oncogenic cooperation in a human de novo T-ALL model

  We previously modelled T-cell acute lymphoblastic leukemia (T-ALL) by over-expressing four oncogenes (activated NOTCH1, LMO2, TAL1, and BMI1) in healthy human umbilical cord blood cells through lentiviral transduction (Kusakabe et al, Nat Commun 10, 2913 (2019). https://doi.org/10.1038/s41467-019-10510-8). We have now tested individual effects of the four oncogenes by transducing human cells with all possible combinations of one, two, three, and four oncogenes. We also tested the effects of additional known T-ALL oncogenes including HOXA9, LYL1, MEF2C, NXK2.1, TLX1, and TLX3. In addition to culture in vitro on OP9-DL1 feeders, we also injected transduced cells into immunodeficient NSG mice. We observed differing abilities of the various oncogene combinations to support growth in vitro and frank leukemia in vivo. This study includes RNA-seq data from samples of transduced cells cultured in vitro as well as cells harvested from clinically moribund mice after development of leukemia in vivo.

  Study EGAS00001006055

• The ACS study

  Dac EGAC00001002140

• Exome Sequencing for Head and Neck Cancer Susceptibility

  This study seeks to find low frequency or rare genetic variants in genes carried by subjects from families with unexplained familial risk of head and neck cancer. Whole exome sequencing was used to identify genetic variation in head and neck cancer cases.

  Study phs002571

• RNAseq of pre- and post-5AZA-treated head and neck cancer patients refractory to anti-PD-1 therapy

  RNA sequencing (RNA-seq) was performed on baseline (before low-dose 5-aza treatment) and on-treatment (low-dose 5-aza treatment for 5 or 10 days) tumor samples from eight participants with head and neck cancer who were refractory to anti-PD-1 therapy. RNA library preparations, sequencing reactions, and initial bioinformatics analyses were conducted at GENEWIZ, LLC. In total, 16 150-bp pair-end RNAseq data were generated.

  Dataset EGAD50000001010

• Clinical data and mapping file

  Patient demographic characteristics, treatment, and survival data for IMbrave151 (N = 162), with one patient per line. Mapping file to map anonymized subject IDs to RNAseq IDs

  Dataset EGAD50000000569

• Sex Differences in MAGEL2 Gene Promoter Methylation in High Functioning Autism - Trends from a Pilot Study Using Nanopore Cas9 Targeted Long Read Sequencing

  Using DNA extracted from peripheral blood, Cas9-targeted nanopore DNA sequencing was used to analyze MAGEL2 gene, including its entire regulatory construct (chr15:23639316-23651466), for sequence variation and 5-methyl-cytosine (5mC) modification in a cohort of adults with HFA compared to sex- and age-matched NC.

  Dataset EGAD50000000726

• bfast CohortD clinical data

  Clinical data for BFAST Cohort D, including time-to-event, tumor response, and baseline prognostics data.

  Dataset EGAD50000000149

• bfast CohortD OSPL

  ctDNA sample data (one sample per line) for BFAST Cohort D including sample-level summaries like tumor fraction (cTF).

  Dataset EGAD50000000147

• PBMC all cell metadata

  Cell annotation for single cells of PBMC collected from 113 patients, including UMAP coordinates and annotation.

  Dataset EGAD50000000145

• CD8 T cell PBMC metadata

  Cell annotation for single CD8 T cells of PBMC collected from 113 patients, including UMAP coordinates and annotation

  Dataset EGAD50000000144

• Clinical data IMvigor130 cohort

  Clinical data for IMvigor130 cohort of patients, including treatment, response, survial time, and tumor PDL1-IC staining score.

  Dataset EGAD50000000143

• Sequencing data for oesophageal and related samples - Linossi et al

  Data supporting: "Utility of ctDNA assessment after six weeks of immunotherapy to predict radiological response in advanced oesophageal cancer" Linossi et al

  Dataset EGAD00001015434

• RNAseq in pleural mesothelioma primary cell lines

  Pleural mesothelioma (PM) requires new treatments. Drug repurposing offers a potential approach to finding effective therapies. This study aimed to explore new therapeutic options for PM using RNA sequencing. RNA sequencing was performed on 58 patient-derived PM cell lines. Drug screening of over 1300 compounds was conducted on 11 lines, with further testing of selected drugs on 48 lines. Top candidates were validated in 3D culture and mouse models.

  Dataset EGAD00001015408

• scRNA-seq

  This dataset gather scRNAseq data performed for MM.1S cell line in control and dex conditions at 4h and 24h

  Dataset EGAD00001011139

• Bulk ATAC-Seq Illumina NextSeq 500 (10M reads)

  Human data for chromatin accessibility (ATAC-Seq) in eight B-cell precursors: HSC, CLP, pro-B, pre-B, Immature B, Transitional B, Naive B CD5-, Naive B CD5+ cells

  Dataset EGAD00001010908

• Bulk RNA-Seq

  Human data for transcriptome (bulk RNA-Seq) in eight B-cell precursors: HSC, CLP, pro-B, pre-B, Immature B, Transitional B, Naive B CD5-, Naive B CD5+ cells

  Dataset EGAD00001010906

• Drug-induced epigenomic plasticity reprograms circadian rhythm regulation to drive prostate cancer towards androgen-independence

  ChIP-seq for AR, FOXA1 and H3K27ac in primary prostate tumors before and after 3 months of neoadjuvant enzalutamide treatment. RNA-seq expression data of primary prostate tumors before and after 3 months of neoadjuvant enzalutamide treatment.

  Dataset EGAD00001008562

• McGill EMC Community projects Release 7 for cell line "lung epithelial"

  Complete reference epigenome (as defined by IHEC) of a lung epithelial cell line with non-small Cell Lung Adenocarcinoma

  Dataset EGAD00001007679

• Valid reads

  Valid reads obtained after analyzing in situ Hi-C data of 16 normal B cells (3 naive B cells, 3 germinal center B cells, 3 plasma cells, and 3 memory B cells, together with a merge file for each subpopulation), 7 chronic lymphocytic leukemias (2 unmutated IGHV and 5 mutated IGHV), and 5 mantle cell lymphomas (2 conventional and 3 leukemic non-nodal).

  Dataset EGAD00001006486

• Sequencing data for oesophageal and related samples - OACs release 6 (RNA)

  Dataset EGAD00001005375

• A96225C

  Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96225C 1034 samples; filetype=bam

  Dataset EGAD00001005355

• A96211C

  Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96211C 1397 samples; filetype=bam

  Dataset EGAD00001005354

• A96199B

  Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96199B 1170 samples; filetype=bam

  Dataset EGAD00001005353

• A96199A

  Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96199A 843 samples; filetype=bam

  Dataset EGAD00001005348

• A96193B

  Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96193B 2410 samples; filetype=bam

  Dataset EGAD00001005347

• A96226B

  Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96226B 1274 samples; filetype=bam

  Dataset EGAD00001005345

• A96172B

  Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96172B 1694 samples; filetype=bam

  Dataset EGAD00001005340

• A96146A

  Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96146A 1195 samples; filetype=bam

  Dataset EGAD00001005338

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0741_SA609X6

  55 samples; filetype=bam

  Dataset EGAD00001004822

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0740_SA609X6

  60 samples; filetype=bam

  Dataset EGAD00001004821

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0739_SA609X6

  52 samples; filetype=bam

  Dataset EGAD00001004820

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0738_SA609X6

  48 samples; filetype=bam

  Dataset EGAD00001004819

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0650_SA532X6

  71 samples; filetype=bam

  Dataset EGAD00001004818

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0544_SA532X6

  68 samples; filetype=bam

  Dataset EGAD00001004817

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0680_SA501X10A

  61 samples; filetype=bam

  Dataset EGAD00001004816

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0582_SA501X10A

  45 samples; filetype=bam

  Dataset EGAD00001004815

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0472_SA501X7A

  50 samples; filetype=bam

  Dataset EGAD00001004814

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0443_SA501X7A

  48 samples; filetype=bam

  Dataset EGAD00001004813

• Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data for library px0837_SA501X2

  40 samples; filetype=bam

  Dataset EGAD00001004812

• Sequencing data for oesophageal and related samples - Abujudeh et al (WGS, fastSeq)

  Data supporting: "Low-cost and clinically applicable copy number profiling using repeat DNA." Abujudeh et al. DNA WGS (BAM files) DNA fastSeq (fastq files) Tumours, Barrett's, normals.

  Dataset EGAD00001004289

• Clinical sequencing in multiple myeloma

  DNA (n=1281) and RNA (n=767) were extracted from bone marrow aspirates where CD138+ selection had been performed to enrich plasma cells from patients with monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), or multiple myeloma (MM). DNA and/or RNA were sent to Foundation Medicine where targeted sequencing was performed using their Foundation 1 Heme panel. Resulting BAM files were returned along with annotations for somatic events including single nucleotide mutations, indels and structural rearrangements.

  Dataset EGAD00001004113

• Sequencing data for oesophageal and related samples - Normals release 3 (RNA)

  Dataset EGAD00001003902

• Japanese liver cancer RNAseq

  RIKEN collection of RNA-seq reads for 458 liver cancer samples and matched normal liver from 247 donors.

  Dataset EGAD00001001880

• Sequencing data for oesophageal and related samples - Normals release 1 (RNA)

  Dataset EGAD00001002258