Potential of proteomics as a bioanalytic technique for quantifying sleepiness

Journal of Clinical Sleep Medicine

Volumn 7, Issue 5, 2011, Pages

  Naidoo, Nirinjini ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ADULT; AFRICAN AMERICAN; BEHAVIOR; BLOOD CELL COUNT; CAUCASIAN; DIZYGOTIC TWINS; DNA EXTRACTION; FEMALE; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; HUMAN; MALE; MASS SPECTROMETRY; MONOZYGOTIC TWINS; PROTEIN ANALYSIS; PROTEIN EXPRESSION; PROTEIN MICROARRAY; PROTEOMICS; QUESTIONNAIRE; SHORT SURVEY; SLEEP DEPRIVATION; SOMNOLENCE; TANDEM MASS SPECTROMETRY; ULTRA PERFORMANCE LIQUID CHROMATOGRAPHY;

BIOLOGICAL MARKERS; DISEASES IN TWINS; DISORDERS OF EXCESSIVE SOMNOLENCE; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEOME; PROTEOMICS; SLEEP DEPRIVATION; TWINS, DIZYGOTIC; TWINS, MONOZYGOTIC;

EID: 80054759847     PISSN: 15509389     EISSN: 15509397     Source Type: Journal    
DOI: 10.5664/JCSM.1354     Document Type: Short Survey

References (4)

1. Committee on Sleep Medicine Policy and Research Board on Health Sciences. Sleep disorders and Sleep Deprivation-An Unmet Public Health Problem. Washington, D.C.: National Academies Press, 2006.
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3. Pawlyk AC, Ferber M, Shah A, Pack AI, Naidoo N. Proteomic analysis of the effects and interactions of sleep deprivation and aging in mouse cerebral cortex. J Neurochem 2007;103:2301-13. (Pubitemid 350173580)
4. Van Dongen HP, Baynard MD, Maislin G, Dinges DF. Systematic interindividual differences in neurobehavioral impairment from sleep loss: evidence of trait-like differential vulnerability. Sleep 2004;27:423-33. (Pubitemid 44138802)