Matches in SemOpenAlex for { <https://semopenalex.org/work/W2118850318> ?p ?o ?g. }
- W2118850318 endingPage "648" @default.
- W2118850318 startingPage "628" @default.
- W2118850318 abstract "Abstract The central nervous system (CNS) is undoubtedly the most complex human organ system in terms of its diverse functions, cellular composition, and connections. Attempts to capture this diversity experimentally were the foundation on which the field of neurobiology was built. Until now though, techniques were either painstakingly slow or insufficient in capturing this heterogeneity. In addition, the combination of multiple layers of information needed for a complete picture of neuronal diversity from the epigenome to the proteome requires an even more complex compilation of data. In this era of high‐throughput genomics though, the ability to isolate and profile neurons and brain tissue has increased tremendously and now requires less effort. Both microarrays and next‐generation sequencing have identified neuronal transcriptomes and signaling networks involved in normal brain development, as well as in disease. However, the expertise needed to organize and prioritize the resultant data remains substantial. A combination of supervised organization and unsupervised analyses are needed to fully appreciate the underlying structure in these datasets. When utilized effectively, these analyses have yielded striking insights into a number of fundamental questions in neuroscience on topics ranging from the evolution of the human brain to neuropsychiatric and neurodegenerative disorders. Future studies will incorporate these analyses with behavioral and physiological data from patients to more efficiently move toward personalized therapeutics. WIREs Syst Biol Med 2011 3 628–648 DOI: 10.1002/wsbm.139 This article is categorized under: Laboratory Methods and Technologies > Genetic/Genomic Methods" @default.
- W2118850318 created "2016-06-24" @default.
- W2118850318 creator A5043316539 @default.
- W2118850318 date "2010-12-31" @default.
- W2118850318 modified "2023-10-09" @default.
- W2118850318 title "Functional genomics of the brain: uncovering networks in the CNS using a systems approach" @default.
- W2118850318 cites W1604444942 @default.
- W2118850318 cites W1610642935 @default.
- W2118850318 cites W1964223615 @default.
- W2118850318 cites W1964522170 @default.
- W2118850318 cites W1965639825 @default.
- W2118850318 cites W1966327575 @default.
- W2118850318 cites W1970871207 @default.
- W2118850318 cites W1970899379 @default.
- W2118850318 cites W1977654090 @default.
- W2118850318 cites W1978075346 @default.
- W2118850318 cites W1979674827 @default.
- W2118850318 cites W1980548655 @default.
- W2118850318 cites W1984203471 @default.
- W2118850318 cites W1985901090 @default.
- W2118850318 cites W1986058895 @default.
- W2118850318 cites W1987504428 @default.
- W2118850318 cites W1988190047 @default.
- W2118850318 cites W1992946093 @default.
- W2118850318 cites W1994206557 @default.
- W2118850318 cites W1997530927 @default.
- W2118850318 cites W1998715453 @default.
- W2118850318 cites W2000766568 @default.
- W2118850318 cites W2002004824 @default.
- W2118850318 cites W2002179012 @default.
- W2118850318 cites W2002287699 @default.
- W2118850318 cites W2003572485 @default.
- W2118850318 cites W2006387633 @default.
- W2118850318 cites W2008944922 @default.
- W2118850318 cites W2009260067 @default.
- W2118850318 cites W2009940492 @default.
- W2118850318 cites W2011633018 @default.
- W2118850318 cites W2011789087 @default.
- W2118850318 cites W2011920499 @default.
- W2118850318 cites W2012332159 @default.
- W2118850318 cites W2014279841 @default.
- W2118850318 cites W2014787267 @default.
- W2118850318 cites W2015170243 @default.
- W2118850318 cites W2017400430 @default.
- W2118850318 cites W2017840637 @default.
- W2118850318 cites W2018045523 @default.
- W2118850318 cites W2020169041 @default.
- W2118850318 cites W2021511482 @default.
- W2118850318 cites W2022734135 @default.
- W2118850318 cites W2023958768 @default.
- W2118850318 cites W2025166218 @default.
- W2118850318 cites W2026357755 @default.
- W2118850318 cites W2026847298 @default.
- W2118850318 cites W2027179362 @default.
- W2118850318 cites W2027753607 @default.
- W2118850318 cites W2028106094 @default.
- W2118850318 cites W2029747645 @default.
- W2118850318 cites W2032208151 @default.
- W2118850318 cites W2035022202 @default.
- W2118850318 cites W2035550923 @default.
- W2118850318 cites W2036583346 @default.
- W2118850318 cites W2036831198 @default.
- W2118850318 cites W2037162373 @default.
- W2118850318 cites W2037562549 @default.
- W2118850318 cites W2039552939 @default.
- W2118850318 cites W2040788632 @default.
- W2118850318 cites W2040827479 @default.
- W2118850318 cites W2041063545 @default.
- W2118850318 cites W2041397120 @default.
- W2118850318 cites W2041703219 @default.
- W2118850318 cites W2044858313 @default.
- W2118850318 cites W2049291669 @default.
- W2118850318 cites W2049734059 @default.
- W2118850318 cites W2052398791 @default.
- W2118850318 cites W2053514780 @default.
- W2118850318 cites W2053917570 @default.
- W2118850318 cites W2054578424 @default.
- W2118850318 cites W2055553707 @default.
- W2118850318 cites W2057117400 @default.
- W2118850318 cites W2059337201 @default.
- W2118850318 cites W2060705109 @default.
- W2118850318 cites W2061560627 @default.
- W2118850318 cites W2064804693 @default.
- W2118850318 cites W2067132969 @default.
- W2118850318 cites W2068930694 @default.
- W2118850318 cites W2070231119 @default.
- W2118850318 cites W2070698988 @default.
- W2118850318 cites W2071466475 @default.
- W2118850318 cites W2071731410 @default.
- W2118850318 cites W2071781936 @default.
- W2118850318 cites W2079870118 @default.
- W2118850318 cites W2080400869 @default.
- W2118850318 cites W2080585999 @default.
- W2118850318 cites W2081837126 @default.
- W2118850318 cites W2084620487 @default.
- W2118850318 cites W2085114914 @default.
- W2118850318 cites W2087786585 @default.
- W2118850318 cites W2088390270 @default.