Evaluation of the gene expression changes induced by 17-?-ethynyl estradiol in the immature uterus/ovaries of the rat using high density oligonucleotide arrays

2005 ◽  
Vol 74 (2) ◽  
pp. 164-184 ◽  
Author(s):  
Jorge M. Naciff ◽  
Suzanne M. Torontali ◽  
Gary I. Overmann ◽  
Gregory J. Carr ◽  
Jay P. Tiesman ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Density ◽  
Oligonucleotide Arrays ◽  
Ethynyl Estradiol

Gene expression in PBMC from severe atopic dermatitis patients assessed by high-density oligonucleotide arrays

2002 ◽  
Vol 109 (1) ◽  
pp. S111-S111
Author(s):  
Masayuki Heishi ◽  
Shinji Kagaya ◽  
T Katsunuma ◽  
Akira Akasawa ◽  
Akiko Nakada ◽  
...  
Keyword(s):  
Gene Expression ◽  
Atopic Dermatitis ◽  
High Density ◽  
Severe Atopic Dermatitis ◽  
Oligonucleotide Arrays

Comparison of human adult and fetal expression and identification of 535 housekeeping/maintenance genes

2000 ◽  
Vol 2 (3) ◽  
pp. 143-147 ◽  
Author(s):  
JANET A. WARRINGTON ◽  
ARCHANA NAIR ◽  
MAMATHA MAHADEVAPPA ◽  
MAYA TSYGANSKAYA
Keyword(s):  
Gene Expression ◽  
Individual Variation ◽  
Fetal Development ◽  
Cellular Function ◽  
High Density ◽  
Oligonucleotide Arrays ◽  
Expression Levels ◽  
Human Adult ◽  
Normal Individuals ◽  
Gene Expression Levels

Warrington, Janet A., Archana Nair, Mamatha Mahadevappa, and Maya Tsyganskaya. Comparison of human adult and fetal expression and identification of 535 housekeeping/maintenance genes. Physiol Genomics 2: 143–147, 2000.—Gene expression levels of about 7,000 genes were measured in 11 different human adult and fetal tissues using high-density oligonucleotide arrays to identify genes involved in cellular maintenance. The tissues share a set of 535 transcripts that are turned on early in fetal development and stay on throughout adulthood. Because our goal was to identify genes that are involved in maintaining cellular function in normal individuals, we minimized the effect of individual variation by screening mRNA pooled from many individuals. This information is useful for establishing average expression levels in normal individuals. Additionally, we identified transcripts uniquely expressed in each of the 11 tissues.

scholarly journals Assessing the Conservation of Mammalian Gene Expression Using High-Density Exon Arrays

2007 ◽  
Vol 24 (7) ◽  
pp. 1577-1577
Author(s):  
Y. Xing ◽  
Z. Ouyang ◽  
K. Kapur ◽  
M. P. Scott ◽  
W. H. Wong
Keyword(s):  
Gene Expression ◽  
High Density ◽  
Exon Arrays ◽  
Mammalian Gene ◽  
Mammalian Gene Expression

scholarly journals High-Density Blood Transcriptomics Reveals Precision Immune Signatures of SARS-CoV-2 Infection in Hospitalized Individuals

2021 ◽  
Vol 12 ◽  
Author(s):  
Jeremy W. Prokop ◽  
Nicholas L. Hartog ◽  
Dave Chesla ◽  
William Faber ◽  
Chanise P. Love ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune Response ◽  
Viral Infections ◽  
Secretory Granules ◽  
Mitotic Cell ◽  
Hospitalized Patients ◽  
High Density ◽  
Type I ◽  
Secondary Infections ◽  
Blood Transcriptomics

The immune response to COVID-19 infection is variable. How COVID-19 influences clinical outcomes in hospitalized patients needs to be understood through readily obtainable biological materials, such as blood. We hypothesized that a high-density analysis of host (and pathogen) blood RNA in hospitalized patients with SARS-CoV-2 would provide mechanistic insights into the heterogeneity of response amongst COVID-19 patients when combined with advanced multidimensional bioinformatics for RNA. We enrolled 36 hospitalized COVID-19 patients (11 died) and 15 controls, collecting 74 blood PAXgene RNA tubes at multiple timepoints, one early and in 23 patients after treatment with various therapies. Total RNAseq was performed at high-density, with >160 million paired-end, 150 base pair reads per sample, representing the most sequenced bases per sample for any publicly deposited blood PAXgene tube study. There are 770 genes significantly altered in the blood of COVID-19 patients associated with antiviral defense, mitotic cell cycle, type I interferon signaling, and severe viral infections. Immune genes activated include those associated with neutrophil mechanisms, secretory granules, and neutrophil extracellular traps (NETs), along with decreased gene expression in lymphocytes and clonal expansion of the acquired immune response. Therapies such as convalescent serum and dexamethasone reduced many of the blood expression signatures of COVID-19. Severely ill or deceased patients are marked by various secondary infections, unique gene patterns, dysregulated innate response, and peripheral organ damage not otherwise found in the cohort. High-density transcriptomic data offers shared gene expression signatures, providing unique insights into the immune system and individualized signatures of patients that could be used to understand the patient’s clinical condition. Whole blood transcriptomics provides patient-level insights for immune activation, immune repertoire, and secondary infections that can further guide precision treatment.

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