15403 results for "1 mil coins fc 26 Visit Buyfc26coins.com for latest FC 26 coins news..buoc"

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• Solve-RD_EuroNMD_cohort-1_DF1+2_V1

  Solve-RD data submitted to the ERN-EuroNMD cohort for re-analysis (Data freeze 1+2) v1

  Dataset EGAD00001009768

• fap_colon

  (A)FAP Colon Crypt - EPIC Methylation Array

  Dataset EGAD00010002198

• endometrium

  Endometrium Gland - EPIC Methylation Array

  Dataset EGAD00010002199

• hyper_hypo_methylation_proportion_Roadmap

  Proportion of hyper- and hypomethylated positions at Roadmap annotations. Data from 8 individuals.

  Dataset EGAD00010002416

• REL-2017-07-2016

  HipSci - Battens Disease - Genotyping Array - July 2017

  Dataset EGAD00010001366

• REL-2017-07-2015

  HipSci - Retinitis Pigmentosa - Genotyping Array - July 2017

  Dataset EGAD00010001364

• REL-2017-07-2014

  HipSci - Macular Dystrophy - Genotyping Array - July 2017

  Dataset EGAD00010001362

• REL-2017-07-07

  HipSci - Hypertrophic Cardiomyopathy - Genotyping Array - July 2017

  Dataset EGAD00010001356

• REL-2017-07-2010

  HipSci - Congenital Hyperinsulinia - Genotyping Array - July 2017

  Dataset EGAD00010001354

• REL-2017-07-2009

  HipSci - Alport Syndrome - Genotyping Array - July 2017

  Dataset EGAD00010001352

• REL-2017-07-2007

  HipSci - Kabuki Syndrome - Genotyping Array - July 2017

  Dataset EGAD00010001348

• REL-2017-07-2008

  HipSci - Usher Syndrome - Genotyping Array - July 2017

  Dataset EGAD00010001350

• Tumor sample of a serious ovarian carcinoma

  Tumor sample of a serious ovarian carcinoma

  Dataset EGAD00001000139

• Blood sample of serious ovarian carcinoma patient

  Blood sample of serious ovarian carcinoma patient

  Dataset EGAD00001000140

• EGAD00000000019

  840 families where both parents have been genotyped together with the child with severe malaria

  Dataset EGAD00000000019

• Single-cell profiling reveals mechanisms of response to anti-PD-L1 versus anti-PD-L1 combined with anti-CTLA4 in head and neck squamous cell carcinoma

  Cancer patients often receive a combination of PD-(L)1 and CTLA4 inhibitors, but the mechanisms underlying their concerted actions remain unclear. We conducted a neoadjuvant study in head and neck squamous cell carcinoma (HNSCC) involving anti-PD-L1 monotherapy versus anti-PD-L1/anti-CTLA4 combination. Single-cell profiling of on- versus pre-treatment biopsies confirmed T-cell expansion as response biomarker. We identified a type 1 immune response accompanying T-cell expansion on-treatment across treatment arms, and herein characterized co-localized IgG plasma cell expansion as important contributor. In pre-treatment biopsies, similar features correlated with expansion upon anti-PD-L1, but not anti-PD-L1/anti-CTLA4. By profiling tumor-draining lymph nodes, we found the addition of anti-CTLA4 to trigger activation and subsequent trafficking of CD4+ T-cells via the blood, to become T-helper 1 cells in the tumor. anti-PD-L1/anti-CTLA4 indeed facilitated co-localized expansion of CD4+ and CD8+ T-cells in tumors versus mostly CD8+ T-cells with anti-PD-L1 alone. Hence, we identify complimentary mechanisms underlying anti-PD-L1/anti-CTLA4 therapy in HNSCC.

  Study EGAS50000000037

• Diverse mutational landscapes in human lymphocytes

  A lymphocyte suffers many threats to its genome, including programmed mutation during differentiation, antigen-driven proliferation and residency in diverse microenvironments. After developing protocols for single-cell lymphocyte expansions, we sequenced whole genomes from 717 normal naive and memory B and T lymphocytes and hematopoietic stem cells. All lymphocyte subsets carried more point mutations and structural variants than haematopoietic stem cells – the extra mutations were mostly acquired during differentiation, with burdens higher in memory than naive lymphocytes, although T cells also had a higher rate of mutation accumulation throughout life. Off-target effects of immunological diversification accounted for most of the additional differentiation-associated mutations in lymphocytes. Memory B cells acquired, on average, 18 off-target mutations genome-wide for every one on-target IGV mutation during the germinal centre reaction. Structural variation was 16-fold higher in lymphocytes than stem cells, with ~15% of deletions being attributable to off-target RAG activity. Mutational processes associated with ultraviolet light exposure and other sporadic mutational processes generated hundreds to thousands of mutations in some memory lymphocytes. The mutation burden and signatures of normal B lymphocytes were broadly comparable to those seen in many B-cell cancers, suggesting that malignant transformation of lymphocytes arises from the same mutational processes active across normal ontogeny. The mutational landscape of normal lymphocytes chronicles the off-target effects of programmed genome engineering during immunological diversification and the consequences of differentiation, proliferation and residency in diverse microenvironments.

  Dataset EGAD00001008107

• UK BioBank Imputed dataset 2018

  UK BioBank Imputed Dataset

  Dataset EGAD00010001474

• colon

  Normal Colon Crypt - EPIC Methylation Array

  Dataset EGAD00010002200

• REL-2017-07-2006

  HipSci - Hereditary Spastic Paraplegia - Genotyping Array - July 2017

  Dataset EGAD00010001346

• REL-2017-07-2005

  HipSci - Hereditary Cerebellar Ataxias - Genotyping Array - July 2017

  Dataset EGAD00010001344

• REL-2017-07-1273

  HipSci - Monogenic Diabetes - Genotyping Array - July 2017

  Dataset EGAD00010001334

• papuan-U-1

  Papuan Genotyping

  Dataset EGAD00010001326

• EGAD00010000654

  Control samples using SNP 6.0 Arrays

  Dataset EGAD00010000654

• EGAD00010000656

  Case samples using SNP 6.0 Array

  Dataset EGAD00010000656