13384 results for ""60+mice"+"6+weeks"+diet+study+2014+2017+DOI"

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• Comparison Across Multiple Types of Sleep Deprivation

  This study is designed to assess neurobehavioral performance, as well as molecular and physiological changes associated with variations in timing and quantity of sleep. Gene expression changes associated with neurobehavioral (cognitive) performance were assessed in a time-series among individuals randomly assigned to four separate sleep conditions during a 10-day inpatient study: a well-rested control, sleep restriction with nighttime sleep, sleep restriction with daytime sleep to roughly simulate shiftwork schedules, and total (acute) sleep deprivation.

  Study phs003924

• Genomic profiling of fragile X syndrome unmethylated full mutation carriers

  Whole genome sequencing of two unrelated FMR1 unmethylated full mutation carriers. The existence of rare, unmethylated full mutation carriers who carry the mutation that causes fragile X syndrome but do not gain methylation at the locus offers a rare opportunity to study the mechanisms underlying fragile X syndrome. This study aims to investigate the genomic variants in these individuals alongside transcriptomic data to elucidate underlying genomic variants behind transcriptomic differences observed in UFM individuals.

  Study EGAS50000000648

• Genomic Profiling of an anti-PD-L1 treated cohort of Newly Diagnosed GBM patients

  Checkpoint inhibitor therapy has limited efficacy in the outcomes of patients with glioblastoma (GBM). This study involves whole exome sequencing of newly diagnosed glioblastoma patients treated with concurrent atezolizumab, radiation therapy, and temozolomide. By analyzing 29 tumor-normal pairs, the study aims to explore the correlation between tumor genomics and the efficacy of PD-L1 blockade treatment outcomes and further identify which patients may benefit more from such therapy.

  Study EGAS50000000783

• Predicting resistance to chemotherapy using chromosomal instability signatures

  The aim of this study is to assess whether three chromosomal instability signature biomarkers are capable of predicting resistance to standard chemotherapies, namely platins, taxanes and anthracyclines. As part of this study we compiled a proof of principle cohort of ovarian cancers treated with these therapies, profiled using the Illumina TSO500 panel. Analysis of these data demonstrated that accurate biomarker calling can be computed from these gene panel data.

  Study EGAS50000000992

• scRNAseq of acute myeloid leukemia

  This study analyzes T-cell transcriptional state in acute myeloid leukemia (AML) and healthy donors. The goal of the study is to correlate T-cell transcriptional states abundances with response to chemotherapy. 12 samples (5 baseline and post-treatment, 2 baseline-only) from AML patients and 3 samples from healthy donors were collected and sequenced on Illumina platforms. The files were created using the GRCh38 reference through CellRanger count (10xGenomics).

  Study EGAS50000000357

• Flexible and rapid validation of structural variants using adaptive sampling

  The goal of the study is to confirm and further characterize structural variants and complex genomic rearrangements using adaptive sampling with Oxford Nanopore Sequencing. Individuals with known structural variants were included in the study and the known rearrangement regions were targeted in the sequencing experiments. In addition to long-read coverage over the targeted regions (around 25X coverage), the rest of the genome is covered by short off-target reads (around 5X coverage).

  Study EGAS50000001279

• Tenk10k Phase 1: Whole Genome Sequencing

  TenK10K Phase 1 is a dataset of matched human whole-genome sequencing (WGS) from 1,925 individuals, and single-cell RNA sequencing (scRNA-seq) from over 5 million peripheral blood mononuclear cells across 28 immune cell types. Single-cell ATAC sequencing was additionally performed on a subset of 922 individuals. This EGA study consists of the WGS data from 1,925 individuals while a separate EGA study comprises the scRNA-seq and scATAC-seq data.

  Study EGAS50000001654

• Whole exome sequencing of Zimbabwean patients with suspected Mendelian disorders

  This study presents whole exome sequencing data from Zimbabwean individuals with suspected Mendelian disorders, including sickle cell disease, Fanconi anemia, haemophilia, and muscular dystrophy. The dataset includes both affected individuals and family members to support inheritance-based analyses. Variant calling was performed using the Illumina DRAGEN pipeline, with downstream variant prioritisation and interpretation conducted using the Zi-Mendelian bioinformatics pipeline. This study supports rare disease genomics and precision medicine efforts in African populations.

  Study EGAS50000001708

• Shot-gun stool metagenomics and colorectal cancer risk.

  This study aims to identify metagenomics biomarkers in colorectal cancer (CRC). The study includes 156 samples of shot-gun stool metagenomics, corresponding to 51 patients with CRC, 54 patients with high-risk adenoma, and 51 healthy controls. The sequencing libraries were prepared with 2 µg of total DNA using the Nextera XT DN Sample Prep Kit (Illumina, San Diego, CA, USA). Sequencing was performed at 150 nucleotides, paired-end, using an Illumina HiSeq 4000 platform.

  Study EGAS00001007025

• TRACERx 100: RNAseq data from the first 100 TRACERx tumours

  TRACERx (TRAcking Cancer Evolution through therapy (Rx)) is a prospective cohort study designed to investigate intratumor heterogeneity (ITH) in relation to clinical outcome, and to determine the clonal nature of driver events and evolutionary processes in early stage non-small cell lung cancer (NSCLC). This study looks at the multi-region RNAseq data from the TRACERx100 cohort with high enough quality RNA available. There is RNAseq data from 164 regions (64 patients).

  Study EGAS00001003458