660 results for ""option,com_discussions"+y+19"

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• colorectal_epigenome

  Three different types of samples were used: 19 normal adjacent, 17 adenoma and 19 colorectal tumor tissue samples. This included 10 pairs of colorectal cancer and normal samples and 1 pair of adenoma-normal samples of the same patient. Tissue specimens were formalin-fixed paraffin-embedded (FFPE). DNA was isolated using the QIAamp FFPE Tissue kit (Qiagen, Hilden, DE) according to the manufacturer’s instructions. The processed DNA was run on the Illumina Human MethylEPIC® v1.0 BeadChip array.

  Dataset EGAD00010002726

• Potent neutralizing antibodies against SARS-CoV-2

  The COVID-19 pandemic urgently needs therapeutic and prophylactic interventions. Here we report the rapid identification of SARS-CoV-2 neutralizing antibodies by high-throughput single-cell RNA and VDJ sequencing of antigen-enriched B cells from 60 convalescent patients.

  Study EGAS00001004412

• Unifying recovery dynamics in heterogeneous diseases exemplified by COVID-19

  To model recovery dynamics, using severe COVID-19 as the example, we align heterogeneous recovery trajectories via a novel computational scheme applied to longitudinally sampled blood transcriptomes. We thus generate pseudotime trajectories, which we then link to cellular and molecular mechanisms based on cell deconvolution analysis and molecular pathway prediction, thus presenting a unique framework for studying recovery processes over time.

  Dataset EGAD00001008331

• The BNT162b2 mRNA COVID-19 vaccine induces long-term effects on both adaptive and innate immune responses

  This dataset contains bulk RNA sequencing at different timepoints post-BNT162b2 mRNA COVID-19 vaccination. Stimulation experiments were performed at each of the timepoints (RPMI, Influenza, R848 and Influenza stimuli), resulting in 242 libraries distributed over 4 stimulations and 4 timepoints. Libraries were sequenced on the DBNSEQ platform.

  Dataset EGAD00001011042

• Exome sequencing of uterine leiomyosarcomas

  Uterine leiomyosarcomas (ULMSs) are aggressive smooth muscle tumors associated with poor clinical outcome. Despite previous cytogenetic and molecular studies, their molecular background has remained elusive. To examine somatic variation in ULMS, we performed exome sequencing on 19 tumors. Altogether 43 genes were mutated in at least two ULMSs. Most frequently mutated genes included tumor protein P53 (TP53; 6/19; 33%), alpha thalassemia/mental retardation syndrome X-linked (ATRX; 5/19; 26%), and mediator complex subunit 12 (MED12; 4/19; 21%). Unlike ATRX mutations, both TP53 and MED12 alterations have repeatedly been associated with ULMSs. All the observed ATRX alterations were either nonsense or frameshift mutations. ATRX protein levels were reliably analyzed by immunohistochemistry in altogether 44 ULMSs, and the majority of tumors (23/44; 52%) showed clearly reduced expression. Loss of ATRX expression has been associated with alternative lengthening of telomeres (ALT), and thus the telomere length was analyzed with telomere-specific fluorescence in situ hybridization. The ALT phenotype was confirmed in all ULMSs showing diminished ATRX expression. Exome data also revealed one nonsense mutation in death-domain associated protein (DAXX), another gene previously associated with ALT, and the tumor showed ALT positivity. Aberrant expression of both TP53 and ATRX were associated with poor overall survival. In conclusion, exome sequencing revealed that TP53, ATRX, and MED12 are frequently mutated in ULMSs. ALT phenotype was commonly seen in tumors, indicating that ATR inhibitors, which were recently suggested as possible new drugs for ATRX-deficient tumors, could provide a potential novel therapeutic option for ULMS.

  Study EGAS00001001612

• Exomic profiling of uterine leiomyosarcomas

  Dataset EGAD00001001860

• Longitudinal Single Cell Atlas of COVID-19 Identifies an Early, Transient Prognostic Signature

  Dac EGAC00001002271

• Stability of gut microbiome after COVID-19 vaccination in healthy and immuno-compromised individuals

  Dac EGAC50000000123

• Induction of trained immunity by influenza vaccine: impact on COVID-19

  Study EGAS00001005446

• Swarm Learning to identify COVID-19, tuberculosis and leukemia patients based on blood transcriptomes

  Dac EGAC00001001639