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Series GSE87656 Query DataSets for GSE87656
Status Public on Dec 05, 2017
Title Leukocyte gene regulation and patterns of natural language use.
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Analysis of transcript abundance estimates as a function of demographic, psychometric, and language use features.
 
Overall design Gene expression profiling was conducted on peripheral blood samples collected from healthy adults in the Atlanta metropolitan area. In addition to background characteristics (age, sex, race/ethnicity, body mass index/BMI, smoking history), participants were also assessed for patterns of natural language use (using the electronically activated recorder system with data processing by Linguistic Inquiry and Word Count software; Mehl, MR, et al. (2001) The Electronically Activated Recorder (EAR): a device for sampling naturalistic daily activities and conversations Behavior Research Methods, Instruments, & Computers 33, 517-523; Pennebaker, JW, Booth, RJ & Francis, ME (2007) Linguistic Inquiry and Word Count: LIWC 2007, www.liwc.net) and self-report psychometric measures of stress (Cohen, S, Kessler, RC & Underwood Gordon, L (1995) Perceived Stress Scale. In Measuring stress: A guide for health and social scientists (Oxford University Press, New York)), anxiety (Beck, AT, Epstein, N, Brown, G & Steer, RA (1988) An inventory for measuring clinical anxiety: Psychometric properties Journal of Consulting and Clinical Psychology 56, 893-897), depression (Beck, A, Steer, R & Brown, G (1996) Beck Depression Inventory - Second Edition manual (Psychological Corporation, San Antonio TX)) and loneliness (Russell, D, Peplau, LA & Cutrona, CE (1980) The revised UCLA Loneliness Scale: concurrent and discriminant validity evidence J Pers Soc Psychol. 39, 472-80). Analyses also controlled for variations in the prevalence of distinct leukocyte subsets as indicated by the relative abundance of mRNA encoding CD3D, CD4, CD8A, CD19, CD56/NCAM1, CD16/FCGR3A, and CD14 (each standardized to mean=0/standard deviation=1 for analysis). Derived language metrics include total words spoken (WordCount); average sentence length (WordsPerSentence); frequency of recorded samples in which particpants were talking and were alone; the relative prevalence of 8 general categories of function words (adverbs, articles, auxiliary verbs, conjunctions, negations, prepositions, quantifiers, and impersonal pronouns) and 5 sub-categories of personal pronouns (1st person singular (i), 1st person plural (we), 2nd person singular (you), 3rd person singular (shehe), and 3rd person plural (they)); and the categorical-dynamic index (CDI; Pennebaker, JW, et al. (2014) When small words foretell academic success: the case of college admissions essays, PLoS One 9, e115844). Higher values of each scale score indicate greater levels of stress, anxiety, etc. Dichotomous variables were coded 0=no/absent and 1=yes/present. Valid gene expression data are available for 143 participants.
 
Contributor(s) Cole S
Citation(s) 29109260
Submission date Oct 05, 2016
Last update date Dec 05, 2017
Contact name Steve Cole
Organization name UCLA School of Medicine
Department Medicine
Street address 11-934 Factor Bldg, UCLA
City Los Angeles
State/province CA
ZIP/Postal code 90095-1678
Country USA
 
Platforms (1)
GPL10904 Illumina HumanHT-12 V4.0 expression beadchip (gene symbol)
Samples (143)
GSM2337735 101a
GSM2337736 102a
GSM2337737 103a
Relations
BioProject PRJNA345489

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Supplementary file Size Download File type/resource
GSE87656_non_normalized.txt.gz 23.0 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available on Series record
Processed data included within Sample table

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