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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1945 1
1946 1
1947 8
1948 4
1949 2
1950 13
1951 10
1952 13
1953 38
1954 19
1955 24
1956 34
1957 48
1958 59
1959 58
1960 59
1961 72
1962 106
1963 117
1964 145
1965 256
1966 304
1967 293
1968 360
1969 408
1970 351
1971 361
1972 453
1973 631
1974 834
1975 795
1976 871
1977 792
1978 844
1979 979
1980 915
1981 1051
1982 1056
1983 1076
1984 1196
1985 1114
1986 1237
1987 1608
1988 1766
1989 2053
1990 2853
1991 2450
1992 2834
1993 3034
1994 3458
1995 3564
1996 3409
1997 3188
1998 3065
1999 3010
2000 3072
2001 3380
2002 3347
2003 3199
2004 3554
2005 3864
2006 4445
2007 4445
2008 4279
2009 3774
2010 3814
2011 4450
2012 5327
2013 5907
2014 5992
2015 6368
2016 6503
2017 6510
2018 6124
2019 3223
2020 41
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135,720 results
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Page 1
Gene expression inference with deep learning.
Chen Y, et al. Bioinformatics 2016. PMID 26873929 Free PMC article.
MOTIVATION: Large-scale gene expression profiling has been widely used to characterize cellular states in response to various disease conditions, genetic perturbations, etc. ...We used the microarray-based Gene Expression Omnibus dataset, consisting of 111K expression profiles, to train our model and compare its performance to those from other methods. ...
MOTIVATION: Large-scale gene expression profiling has been widely used to characterize cellular states in response to various …
The Effects of Hallucinogens on Gene Expression.
Martin DA and Nichols CD. Curr Top Behav Neurosci 2018 - Review. PMID 28677095
These acute molecular processes also influence gene expression changes, which likely influence synaptic plasticity and facilitate more long-term changes in brain neurochemistry ultimately underlying the therapeutic efficacy of a single administration to achieve long-lasting effects. In this review, we summarize what is currently known about the molecular genetic responses to psychedelics within the brain and discuss how gene expression changes may contribute to altered cellular physiology and behaviors....
These acute molecular processes also influence gene expression changes, which likely influence synaptic plasticity and facilit …
Intrinsic Dynamics of a Human Gene Reveal the Basis of Expression Heterogeneity.
Rodriguez J, et al. Cell 2019. PMID 30554876 Free PMC article.
To understand the relationship between these two phenomena and the dynamic regulation of genes in response to upstream signals, we describe the use of live-cell RNA imaging coupled with Hi-C measurements and dissect the endogenous regulation of the estrogen-responsive TFF1 gene. ...The heterogeneity in inactive times gives rise to the widely observed "noise" in human gene expression and explains the distribution of protein levels in human tissue. ...
To understand the relationship between these two phenomena and the dynamic regulation of genes in response to upstream signals, we describe …
In vivo methods for acute modulation of gene expression in the central nervous system.
Cwetsch AW, et al. Prog Neurobiol 2018 - Review. PMID 29694844 Free PMC article.
Accurate and timely expression of specific genes guarantees the healthy development and function of the brain. Indeed, variations in the correct amount or timing of gene expression lead to improper development and/or pathological conditions. Almost forty years after the first successful gene transfection in in vitro cell cultures, it is currently possible to regulate gene expression in an area-specific manner at any step of central nervous system development and in adulthood in experimental animals in vivo, even overcoming the very poor accessibility of the brain. ...
Accurate and timely expression of specific genes guarantees the healthy development and function of the brain. Indeed, variations in …
Genetics of gene expression in CNS.
Pandey AK and Williams RW. Int Rev Neurobiol 2014 - Review. PMID 25172476 Free PMC article.
By combining classic gene mapping methods-family linkage studies and genomewide association-with high-throughput genomics, it is now possible to define quantitative trait loci (QTLs), single-gene variants, and even single SNPs and indels that control gene expression in different brain regions and cells. ...But at a higher level of analysis, we still do not understand the genetic architecture of gene expression in brain, the consequences of expression QTLs on protein levels or on cell function, or the combined impact of expression differences on behavior and disease risk. ...
By combining classic gene mapping methods-family linkage studies and genomewide association-with high-throughput genomics, it is now …
Testing the gene expression classification of the EMT spectrum.
Jia D, et al. Phys Biol 2019. PMID 30557866
Here, to better characterize the hybrid E/M phenotype (s) and tumor aggressiveness, we integrate two computational methods-(a) RACIPE-to identify the robust gene expression patterns emerging from the dynamics of a given gene regulatory network, and (b) EMT scoring metric-to calculate the probability that a given gene expression profile displays a hybrid E/M phenotype. We apply the EMT scoring metric to RACIPE-generated gene expression data generated from a core EMT regulatory network and classify the gene expression profiles into relevant categories (epithelial, hybrid E/M, mesenchymal). ...
Here, to better characterize the hybrid E/M phenotype (s) and tumor aggressiveness, we integrate two computational methods-(a) RACIPE-to ide …
Nature, nurture, or chance: stochastic gene expression and its consequences.
Raj A and van Oudenaarden A. Cell 2008 - Review. PMID 18957198 Free PMC article.
This variation appears in organisms ranging from microbes to metazoans, and its characteristics depend both on the biophysical parameters governing gene expression and on gene network structure. Stochastic gene expression has important consequences for cellular function, being beneficial in some contexts and harmful in others. ...
This variation appears in organisms ranging from microbes to metazoans, and its characteristics depend both on the biophysical parameters go …
The Influence of the Global Gene Expression Shift on Downstream Analyses.
Xu Q and Zhang X. PLoS One 2016. PMID 27092944 Free PMC article.
The assumption that total abundance of RNAs in a cell is roughly the same in different cells is underlying most studies based on gene expression analyses. ...To evaluate this risk, we conducted a systematic study on the possible influence of the global gene expression shift effect on differential expression analysis and on molecular classification analysis. ...
The assumption that total abundance of RNAs in a cell is roughly the same in different cells is underlying most studies based on gene
Conditional generative adversarial network for gene expression inference.
Wang X, et al. Bioinformatics 2018. PMID 30423066 Free PMC article.
MOTIVATION: The rapid progress of gene expression profiling has facilitated the prosperity of recent biological studies in various fields, where gene expression data characterizes various cell conditions and regulatory mechanisms under different experimental circumstances. Despite the widespread application of gene expression profiling and advances in high-throughput technologies, profiling in genome-wide level is still expensive and difficult. ...
MOTIVATION: The rapid progress of gene expression profiling has facilitated the prosperity of recent biological studies in var …
A benchmark of gene expression tissue-specificity metrics.
Kryuchkova-Mostacci N and Robinson-Rechavi M. Brief Bioinform 2017. PMID 26891983 Free PMC article.
One of the major properties of genes is their expression pattern. Notably, genes are often classified as tissue specific or housekeeping. ...We analyse their capacity to distinguish gene categories, their robustness to the choice and number of tissues used and their capture of evolutionary conservation signal....
One of the major properties of genes is their expression pattern. Notably, genes are often classified as tissue specific or housekeep …
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