19459 results for "Buy fc 26 coins Buyfc26coins.com is EA Sports official for FC 26 coins This is the best service ever..VBsp"

in 193.21 milliseconds.

• Identification of fungal species in brain tissue from Alzheimer's disease

  Identification of fungal species present in the central nervous system tissue from Alzheimer's disease patients by next-generation sequencing.

  Study EGAS00001002228

• KLB mutations in congenital hypogonadotropic hypogonadism

  To test if patients with congenital hypogonadotropic hypogonadism harbor mutations in FGF21 and KLB (encoding the co-receptor of FGF21)

  Study EGAS00001002568

• Fine-Scale Genomic Analyses Of Admixed Individuals Reveal Unrecognized Genetic Ancestry Components In Argentina

  Study the sub-continental origins of African, European and Native American genetic ancestries of Argentinean populations.

  Study EGAS00001004492

• Whole exome sequencing of trio with primary immunodeficiency (IL2RB)

  Whole exome paired-end sequencing data was performed on a trio (patient + parents) who has primary immunodeficiency to identify the genetic cause of the immunodeficiency. Analysis revealed a novel homozygous mutation in IL2RB.

  Dataset EGAD00001004963

• ChIP-seq peaks of H3K27ac

  ChIP-seq peaks of H3K27ac. The dataset includes FASTQ files, BAM files, and analyses of the ChIP-seq peaks of H3K27ac determined using MACS2

  Dataset EGAD00001008964

• The Extracellular RNA Quality Control (exRNAQC) study (phase 2)

  mRNA capture sequencing and small RNA sequencing data (FASTQ files) of the exRNAQC study phase 2 (interaction study)

  Dataset EGAD00001009724

• WGS of a pair of monozygotic twins with Castleman disease and an unaffected sibling.

  The affected twins have their lymph nodes and buccal swabs sequenced with WGS. The unaffected sibling have his/her buccal swab sequenced with WGS as control too.

  Dataset EGAD00001011118

• E-cadherin inactivation shapes tumor microenvironment specificities in invasive lobular carcinoma

  Invasive lobular breast carcinoma (ILC) shows specific stromal features, T lymphocyte infiltration (TIL) being associated with poor prognosis. Here, we reveal the involved mechanism by performing single cell RNA sequencing, combined immunohistochemistry, deconvolution of bulk RNA sequencing from large retrospective ILC series, and functional assays using primary cells. We show that ILC accumulates FAP+ inflammatory cancer-associated fibroblasts (iCAF) through a previously undescribed mechanism mediated by E-cadherin/CDH1 on CAF plasticity. Indeed, CDH1 inactivation in ILC cancer cells prevents differentiation of iCAF into myofibroblastic CAF (myCAF), leading to iCAF accumulation. In turn, iCAF attract TILs into the tumor center and shape their spatial organization in ILC. Subsequently, CDH1-inactivated ILC cancer cells promote immune escape by lack of retention and activation of ITGAE-expressing resident memory CD8+ T lymphocytes (TRM). Hence, our study uncovers reciprocal interactions between CDH1-inactivated cancer cells, iCAF and CD8+ TRM, gaining insight into the underlying mechanism associated with the distinctive stromal reaction observed in ILC and revealing why and how TILs have a poor prognosis in ILC patients, a mechanism that can be generalized to other CDH1-inactivated cancer types.

  Study EGAS50000001760

• Oncoprint GSCCs

  Glioblastoma (GBM) remains the most malignant primary brain tumor, with a median survival rarely exceeding 2 years. Tumor heterogeneity and an immunosuppressive microenvironment are key factors contributing to the poor response rates of current therapeutic approaches. GBM-associated macrophages (GAMs) often exhibit immunosuppressive features that promote tumor progression. However, their dynamic interactions with GBM tumor cells remain poorly understood. Here, we used patient-derived GBM stem cell cultures and combined single-cell RNA sequencing of GAM-GBM co-cultures and real-time in vivo monitoring of GAM-GBM interactions in orthotopic zebrafish xenograft models to provide insight into the cellular, molecular, and spatial heterogeneity. Our analyses revealed substantial heterogeneity across GBM patients in GBM-induced GAM polarization and the ability to attract and activate GAMs – features that correlated with patient survival. Differential gene expression analysis, immunohistochemistry on original tumor samples, and knock-out experiments in zebrafish subsequently identified LGALS1 as a primary regulator of immunosuppression. Overall, our work highlights that GAM-GBM interactions can be studied in a clinically relevant way using co-cultures and avatar models, while offering new opportunities to identify promising immune-modulating targets.

  Study EGAS00001007481

• Single-cell profiling of co-cultures of GSCCs and macrophages

  Glioblastoma (GBM) remains the most malignant primary brain tumor, with a median survival rarely exceeding 2 years. Tumor heterogeneity and an immunosuppressive microenvironment are key factors contributing to the poor response rates of current therapeutic approaches. GBM-associated macrophages (GAMs) often exhibit immunosuppressive features that promote tumor progression. However, their dynamic interactions with GBM tumor cells remain poorly understood. Here, we used patient-derived GBM stem cell cultures and combined single-cell RNA sequencing of GAM-GBM co-cultures and real-time in vivo monitoring of GAM-GBM interactions in orthotopic zebrafish xenograft models to provide insight into the cellular, molecular, and spatial heterogeneity. Our analyses revealed substantial heterogeneity across GBM patients in GBM-induced GAM polarization and the ability to attract and activate GAMs – features that correlated with patient survival. Differential gene expression analysis, immunohistochemistry on original tumor samples, and knock-out experiments in zebrafish subsequently identified LGALS1 as a primary regulator of immunosuppression. Overall, our work highlights that GAM-GBM interactions can be studied in a clinically relevant way using co-cultures and avatar models, while offering new opportunities to identify promising immune-modulating targets.

  Study EGAS00001007482

• The evolutionary landscape of colorectal tumorigenesis

  The genetic events that cause colorectal adenomas to progress to carcinomas remain largely undetermined. Using multi-region genome/exome sequencing of 24 benign and malignant colorectal tumours, we probe the evolutionary fitness landscape occupied by these neoplasms. Unlike carcinomas, advanced adenomas frequently harbour sub-clonal driver mutations, hence lack selective sweeps, and have relatively high genetic heterogeneity. Carcinomas are distinguished from adenomas not by nucleotide-level mutations (drivers or burden), but by widespread aneusomies that are usually clonal and often accrue in a “punctuated” fashion. Adenomas evolve across an undulating fitness landscape, whereas carcinomas occupy a sharper fitness peak, probably owing to stabilising selection.

  Study EGAS00001003066

• Investigating genomic intratumor heterogeneity in colorectal carcinoma

  To investigateintertumor heterogeneity of colorecatal carcinoma, we profiled the genome and epigenome in multiple regions within each of nine colorectal tumors.

  Study JGAS000060

• Multiple Myeloma GWAS Meta-analysis

  Meta-analysis of Multiple Myeloma genome-wide association study datasets. Included are meta-analyses with and without the UK Biobank dataset.

  Study EGAS50000000292

• CIRCLE-seq of PDO

  CIRCLE-seq data of PDAC 1 patient-derived organoid (PDO) - Unmapped reads, libraries were sequenced using the Illumina NextSeq500 with the NextSeq 500/550 Mid Output Kit v2.5 (300 Cycles), generating around 10M paired end 150bp reads per sample

  Dataset EGAD50000000281

• COIN_CRC_GWAS

  Genotype data of 1,950 individuals from the COIN and COIN-B trials of advanced/metastatic colorectal cancer. Data provided in plink format, and has been quality controlled. Control data used was from the WTCCC2 project National Blood Donors (NBS) Cohort (EGAD00000000024).

  Dataset EGAD00010002186

• The genomic landscape of cutaneous squamous cell carcinoma based on 40 paired normal and tumour whole-exome sequencing samples

  40 paired normal and tumour whole-exome sequencing samples was used to investigate the genomic landscape of cutaneous squamous cell carcinoma

  Dataset EGAD00001003555

• Genomic variant calling of 32 Chinese SRCCs

  Whole Genome Sequencing has been applied in 32 SRCC patients and the raw data have been subjected to standard procedures. Files with genomic variant calling were obtain at the last step.

  Dataset EGAD00001004045

• ChIP-seq and Hodgkin lymphoma

  ChIP-seq data (H3K4Me3, H3K27Ac histone modifications) of Hodgkin lymphoma cell line L-428. Samples were processed as previously described (Sud et al., 2018). The files are in bam format, aligned to build 37 of the human genome.

  Dataset EGAD00001004322

• Dataset of CageKid Blood and Tumor DNA samples

  The data contains genome sequencing of clear cell renal cell carcinomas and normal kidney tissues. The samples were collected from patients from different European countries.

  Dataset EGAD00001002892

• SCA1 and control cerebral organoids

  3' RNA-sequencing data of cerebral organoids from controls and individuals with SCA1 was performed at day 31 and day 60 of organoid formation. Matched case-control cerebral organoids were used (Ctrl A+SCA1 A and Ctrl B+SCA1 B) as well as isogenic cerebral organoids, CRISPR/Cas9 gene-edited from Ctrl A (SCA1-/CAG and SCA1CAG/CAG). Biological triplicates were assessed for all lines at both time points.

  Dataset EGAD50000002473

• BAM-format HiFi whole genome sequencing reads (PacBio Revio) from stabilized human saliva

  HiFi whole‑genome sequencing data from a single human saliva sample collected and stabilized using an Oragene device. Sequencing was performed on a SMRT® Cell using PacBio Revio™ SPRQ chemistry. Sequencing produced >100 Gb of HiFi reads yielding >30× genome coverage suitable for comprehensive variant and methylation analysis. Dataset includes long‑read HiFi sequences in BAM format, containing both aligned and unaligned reads.

  Dataset EGAD50000002398

• 10X single-cell Multiome (RNA+ATAC) of bone marrow-derived HSPC

  10X genomics chromium single-cell ATAC+RNA (Multiome) was use to prepare single-nucleus RNA- and ATAC-seq libraries, sequenced on an Illumina NovaSeq 6000 platform. BAM files are provided. Samples from 6 donors were sequenced after sorting for primitive HSPCs in 5 libraries; each library comprises a single donor, except one with cells from 1 male and 1 female donor.

  Dataset EGAD50000002326

• B cells (CD19) RNAseq dataset of JIA patients with known uveitis status.

  CLUSTER consortium RNA sequencing dataset from UK JIA patient cohort with documented uveitis status. Peripheral blood mononuclear cells (PBMCs) were isolated from blood samples and cryopreserved. Samples were subsequently thawed and flow-sorted for CD19+ B cells prior to RNA sequencing. Clinical metadata includes patient demographics and uveitis status at time of sampling.

  Dataset EGAD50000001616

• IgM VDJ repertoire sequencing of 3 healthy donors using 8 different PCR conditions

  Peripheral blood mononuclear cells (PBMCs) were sampled from 3 healthy donors to sequence IgM heavy chain V(D)J repertoire libraries. Libraries were generated by targeting IgM heavy chain V(D)Js with a 5’MTPX primerset and sequenced on an Illumina MiSeq machine. Each donor was sequenced 8 times, varying only PCR amplification conditions, for a total of 24 sequencing libraries and therefore 48 paired-end fastq files.

  Dataset EGAD50000001510

• ATAC_TALL_t_14_16_translocation

  ATAC-sequence for patients with t(14;16) translocated T-ALL and control T-ALL patients

  Dataset EGAD50000001784