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Maternal influences on the transmission of leukocyte gene expression profiles in population samples (Red Cross Donors)

ABSTRACT: This is a companion study to (GSE21342). Peripheral blood leukocyte samples were obtained with consent from 100 red cross blood donors sampled cross-sectionally across the city of Brisbane, Australia. After correction for RNA integrity values, individuals fall into major profiles of expression variation suggesting environmental and cultural influences on immune gene expression. 100 individuals, 50 men and 50 women, were sampled with permission of the Red Cross Society of Australia and under informed consent. The age of individulas were between 18 and 68 (mean 44). BMI ranged from 17.7 to 51.3 with a mean of 26.6. Collection was carried out by EM at mobile Red Cross vans at 10 locations (Bellbowrie, Capalaba, Dayboro, Eagle Farm, Kenmore, Mount Ommaney, South Brisbane, St Lucia, Virginia, and Woolloongabba) distributed across the city.

ORGANISM(S): Homo sapiens

SUBMITTER: Jinhee Kim

PROVIDER: E-GEOD-21311 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Maternal influences on the transmission of leukocyte gene expression profiles in population samples (Red Cross Donors)

Project description:This is a companion study to (GSE21342). Peripheral blood leukocyte samples were obtained with consent from 100 red cross blood donors sampled cross-sectionally across the city of Brisbane, Australia. After correction for RNA integrity values, individuals fall into major profiles of expression variation suggesting environmental and cultural influences on immune gene expression.

2011-01-01 | GSE21311 | GEO

Maternal influences on the transmission of leukocyte gene expression profiles in population samples (mother and child)

Project description:This study contrasts the expression profiles of peripheral blood leukocytes from third trimester pregnant mothers, with cord blood leukocytes from their newborn children. It is a companion to (GSE21311). After normalization for RNA integrity, major principal components of the variation were found to distinguish individuals. Transmission of gene expression profiles from mother to child was documented, along with differences between gestational diabetic, obese, and normal weight mothers and their children. 56 individulas (Brisbane, Australia) were sampled for the mother-newborn study, under informed consent. 19 mothers sample were collected in the last month of pregnancy (between 30th and 36th week of pregnancy) and 37 cord blood samples were obtained at birth from newborn babies. Mothers having BMI values over 30 before pregnancy were classified as obese. From the 37 newborn babies, 10 were born to obese mothers, 8 to gestational diabetic mothers (with a wide range of body mass indices), and 19 to normal-weight mothers. There were 16 mother-newborn pairs in the dataset. RNA from each was hybridized to an Illumina HT12 array.

2011-01-01 | E-GEOD-21342 | biostudies-arrayexpress

Maternal influences on the transmission of leukocyte gene expression profiles in population samples

Project description:This SuperSeries is composed of the following subset Series: GSE21311: Maternal influences on the transmission of leukocyte gene expression profiles in population samples (Red Cross Donors) GSE21342: Maternal influences on the transmission of leukocyte gene expression profiles in population samples (mother and child) Refer to individual Series

2011-01-01 | E-GEOD-21345 | biostudies-arrayexpress

Using Blood-Informative Transcripts in Geographical Genomics: Impact of Lifestyle on Gene Expression in Fijians

Project description:This study explores the impact of lifestyle and environment on gene expression through whole transcriptome profiling of peripheral blood samples in Fijian population (native Melanesians and Indians) living in the rural and urban areas. 41 individuals (14 urban Melanesians, 10 rural Melanesians and 17 urban Indians) of both gender were sampled under informed consents. Only healthy individuals aged between 18 and 65 were sampled. RNA from each sample was hybridized to an Illumina array. No replicates were done in this study

2012-12-31 | E-GEOD-41233 | biostudies-arrayexpress

The genomic distribution of sex-biased genes in Drosophila serrata: X-chromosome demasculanisation, feminisation, and hyper-expression in both sexes

Project description:Data from whole-body, head, thorax, abdomen, ovaries, testes and accessory glands was used to assess possible causes of a non-random distribution of sex-biased genes (sexually dimorphic expression). All samples were derived from virgin adult flies. We measured gene expression of male and female Drosophila serrata from 43 lines (whole-body) and multiple tissues sampled from outbred laboratory stock. All flies were originally samples from Brisbane, Queensland, Australia. Data from two replicates for each sex/line are presented, plus 3-5 replicates per sex/tissue. 24 adult whole-body samples were not used in analyses due to poor quality, giving a total of 176 arrays.

2013-11-05 | E-GEOD-45801 | biostudies-arrayexpress

Project description:Angiostrongylus mackerrasae from Brisbane, Queensland, Australia

| PRJNA594091 | ENA

Saa2016 - Mammalian methionine cycle - approximate bayesian computation

Project description:Construction of feasible and accurate kinetic models of metabolism: A Bayesian approach Pedro A. Saa, Lars K. Nielsen* Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia *Corresponding author Email: lars.nielsen@uq.edu.au Reference methionine cycle model (i.e., true model) used for parameter estimation. This model is almost entirely based on the kinetic reconstruction of Korendyaseva et al. (2008). Korendyaseva TK, Kuvatov DN, Volkov Va, Martinov MV, Vitvitsky VM, Banerjee R, Ataullakhanov FI (2008) An allosteric mechanism for switching between parallel tracks in mammalian sulfur metabolism. Plos Comput Biol 4: e1000076

2016-07-17 | MODEL1603150000 | BioModels

FAIRE-chip in CHRF-288-11 and K562 cells

Project description:Maps of open chromatin in a megakaryocytic (CHRF-288-11) and an erythroblastoid (K562) cell line using the formaldehyde-assisted isolation of regulatory elements (FAIRE) method. We profiled chromatin structure at 62 non-redundant genetic loci representing all known associations (as of November 2009, CEU population) with 11 cardiovascular traits: coronary artery disease (CAD), (early-onset) myocardial infarction (MI), mean platelet volume (MPV), platelet counts (PLT), platelet signaling (PLS), white blood cell counts (WBC), red blood cell counts (RBC), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), systolic blood pressure (SBP), diastolic blood pressure (DBP), hypertension (HYP). A total of 4 experiments: FAIRE using two different cross-linking times (8 and 12 min) in two cell types (CHRF-288-11 and K562 cells).

2011-07-01 | E-GEOD-25716 | biostudies-arrayexpress

Kidney development time course

Project description:Array Design; Mouse Compugen 22K Spotted Oligo Author; Sean Grimmond Common Reference (Yes/No, ID); Yes Mouse universal Reference (Stratagene) Concentration; 100 Data processing/normalization; Lowess Normalisation GeneSpring) Developmental Stage; embryonic Diseased/Normal; normal Dye Swap; red/green Experiment Type; time course Genetic Characteristic; Wild type Image Analysis Software; Imagene5.5 (Biodiscovery) Labeling Protocol; Amino Allyl Message Amp- Ambion Organ/Organism part; kidney Organism; Mus Musculus RNA type; aRNA Message Amp-ambion Tissue Type; Pool of whole organs Organization; IMB, Uni of QLD, Brisbane Australia Sample Source; primary tissue Sampling Method; Dissection of whole organ Sex; Pool of both sexes Strain/Cell-line; CD1 Series_overall_design: To account for dye swap, the signal channel and control channel measurements for each sample were reversed. A Lowess curve was fit to the log-intensity versus log-ratio plot. 20.0% of the data was used to calculate the Lowess fit at each point. This curve was used to adjust the control value for each measurement. If the control channel was lower than 10 then 10 was used instead. Specific samples were normalized to one another: sample(s) 1-38 were normalized against the median of the control sample(s) 1-38. Each measurement for each gene in those specific samples was divided by the median of that gene's measurements in the corresponding control samples. Keywords: time-course

2010-06-09 | E-GEOD-2282 | biostudies-arrayexpress

Kidney development time course

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