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1 EDC-mediated changes in endogenous ER target gene expression.
2 es in the post-transcriptional regulation of gene expression.
3 nhibition of early and immediate early viral gene expression.
4 tors are needed to activate cumulus specific gene expression.
5  be better interpreted as a longer period of gene expression.
6 (pH1N1) virus is not able to inhibit general gene expression.
7 nd repressive functions in the regulation of gene expression.
8  as a result of redox regulation of cytokine gene expression.
9  elements for predictable dynamic control of gene expression.
10  visible both in chromatin accessibility and gene expression.
11 e presentation, such as protein cleavage and gene expression.
12 ch associate with ZNF281, stimulates cardiac gene expression.
13 factor CRP2 was a regulator of smooth muscle gene expression.
14 htly linked to metabolism, proliferation and gene expression.
15  having correlations between copy number and gene expression.
16  are two well-known mechanisms that regulate gene expression.
17  as a nuclear transcriptional coregulator of gene expression.
18 nitiation is a key step in the regulation of gene expression.
19 onstrated differential Muc2 and Muc5ac mucin gene expression.
20 he transcriptional and epigenetic control of gene expression.
21 e stability, and silencing of transposon and gene expression.
22 ting oxidative promoter lesions may modulate gene expression.
23 s both as a repressor and as an activator of gene expression.
24 te a 4.5-kb genomic region and repress HOXA5 gene expression.
25 ding, chromatin status and the regulation of gene expression.
26 essor of the cul-6/cullin gene and other IPR gene expression.
27 nt regulatory networks governing trophoblast gene expression.
28  at promoters is an important determinant of gene expression.
29  mice that had Cre-recombinase driven by OTR gene expression.
30 -transcriptional regulators of mitochondrial gene expression.
31 lambda1, and interferon-stimulated chemokine gene expression.
32  in vivo by reducing c-Jun-mediated SERPINA1 gene expression.
33  their effects on lipid traits by regulating gene expression.
34 pression does not affect cardiac function or gene expression.
35 an increase in CUBILIN, AMNIONLESS and CLCN5 gene expression.
36 otein disrupts enhancer-promoter looping and gene expression.
37 s are not likely to involve changes in basal gene expression.
38 ween metabolism and epigenetic regulation of gene expression.
39 ion of IFI16 also suppressed DeltaICP0 virus gene expression, albeit to a lesser extent than STING.
40                          Whole-transcriptome gene expression analyses on WNT-dependent KDR(+)CD235a(-
41                                              Gene expression analyses suggested that differential exp
42                                              Gene expression analysis also indicated the presence of
43 if identification for ChIP-seq, differential gene expression analysis for RNA-seq, nucleosome positio
44                          We used genome-wide gene expression analysis in clinical samples to identify
45 ring dwgLASSO with conventional differential gene expression analysis method.
46                                              Gene expression analysis of dyW-/- E17.5 muscles identif
47                               Epigenetic and gene expression analysis of The Cancer Genome Atlas AML
48 urther in vitro cell culture experiments and gene expression analysis revealed a major defect in the
49                                              Gene expression analysis revealed a significant decrease
50 notypic screens with large-scale single-cell gene expression analysis to define the heterogeneity wit
51 works and perform network-based differential gene expression analysis to select biomarker candidates
52 tified embryonic Grh targets by ChIP-seq and gene expression analysis.
53 acy of cell states invisible to conventional gene expression analysis.
54                                 Differential gene-expression analysis has allowed us to confirm the r
55 mating the local genetic correlation between gene expression and a complex trait and utilize it to es
56 ct of E2f3a overexpression in this region on gene expression and alternative splicing and performed q
57 important post-transcriptional regulators of gene expression and are implicated in the etiology of se
58 e acetylation to assess their causal role in gene expression and cellular and behavioural phenotypes
59 association between ER and CA-IKKbeta-driven gene expression and clinically relevant invasion and met
60 as shown by up-regulation of NRF-2-dependent gene expression and down-regulation of proinflammatory c
61 mportant epigenetic mechanism that regulates gene expression and downstream biological processes.
62  requires DNA methylation to silence somatic gene expression and dynamic DNA demethylation to activat
63 d and that the estrogenic effects on apoA-IV gene expression and food intake are impaired.
64 between different mechanisms in facilitating gene expression and genome duplication and demonstrate t
65 es a transcriptional repressor implicated in gene expression and has not previously been associated w
66 ture, and thus likely confer inducibility of gene expression and higher responsive dynamics.
67 te that hypothyroidism-associated changes in gene expression and histone acetylation require TRbeta1.
68                                              Gene expression and mutant phenotypic analysis of SWIB5
69 ypes of glioblastoma (GBM) are defined using gene expression and mutation profiles, we identify a uni
70 DDylation by MLN4924 blocked proinflammatory gene expression and NF-kappaB activation while enhancing
71 ode environmental information via changes in gene expression and other biochemical activities to regu
72 elocytic leukemia, inhibits TNFalpha induced gene expression and phosphorylation of NF-kappaB.
73 on, characterized by reduced proinflammatory gene expression and plaque macrophage content.
74 ion of these regions with cell-type-specific gene expression and plasma protein levels sheds light on
75 ng brain mapping analyses of immediate-early gene expression and produced a robust silencing of STN n
76 tivation of mTORC1 reduced hepatic lipogenic gene expression and produced hypotriglyceridemia after 1
77 s results in ERalpha-dependent activation of gene expression and proliferation, in the absence of lig
78                                              Gene expression and protein expression were analyzed wit
79                                         PGRN gene expression and protein levels increased concomitant
80     Although R-loops play important roles in gene expression and recombination at immunoglobulin site
81 erence genes that could be used to normalize gene expression and selected gapdh and rpl32 as the most
82 cterized by enhanced pluripotency-associated gene expression and self-renewal capacity.
83 roinflammatory mediators assessed in splenic gene expression and serum proteins.
84     We discuss cell-intrinsic differences in gene expression and signaling that underlie differences
85 le in developmentally regulated gamma-globin gene expression and the ability to control oxidative str
86 results and raises important questions about gene expression and the epigenetics of Goltz syndrome-as
87                                              Gene expression and the metabolome were studied in the l
88 stently high levels of type I IFN-stimulated gene expression and to increased resistance to all virus
89 ow chromatin regulation modulates stochastic gene expression and transcriptional bursting, with impli
90                       Cell aggregation, gtfP gene expression and water-insoluble glucan production we
91 tion showed comparable increases in fibrotic gene expressions and ROS production but promoted inducti
92 agments successfully knocked down the target gene expression, and a significantly decreased survival
93  shikimic acid accumulation, ABC-transporter gene expression, and cell death were used to select a su
94 pes of genetic variation impacting embryonic gene expression, and their interactions with development
95 ative levels of hepatocyte and cholangiocyte gene expression are determined during differentiation re
96                      Although alterations in gene expression are well known to modulate spermatogenes
97           Early perturbations in tissue-wide gene expression, as observed here, may underpin a profou
98 e and reinforce a distinct role for 6mA as a gene-expression-associated epigenomic mark in eukaryotes
99 eurons, but found no striking differences in gene expression between male and female mice, neither be
100 oss disrupts the normal pattern of embryonic gene expression blocking development at the morula-blast
101 ted monocytes are partially permissive lytic gene expression but did not have long term impact on mon
102 ion disproportionately influences sex-biased gene expression but show that the direction of change is
103                                Regulation of gene expression by alternative splicing plays a pivotal
104               In bacteria, the regulation of gene expression by cis-acting transcriptional riboswitch
105 cripts within it to show that editing alters gene expression by modulating translation (but not RNA s
106  in the 3'UTR composition of mRNAs can alter gene expression by regulating transcript localization, s
107                                 Differential gene expression by SFRP2(+), FMO1(+), and COL11A1(+) fib
108 t findings stemming from the Cap Analysis of Gene Expression (CAGE) demonstrate that promoters and en
109          Further, comparing trait-associated gene expression changes across traits suggests that plei
110 urther associated chromatin aberrations with gene expression changes from a larger cohort of the tumo
111  the current study, we analyzed the temporal gene expression changes in a neuronal mRNA pool during a
112 as a small molecule that partly elicited the gene expression changes in LSCs caused by Tcf1/Lef1 defi
113 irst performed a microarray analysis of mPFC gene expression changes induced by defeat, and biologica
114 tions in the environment lead to distinctive gene expression changes within a cell.
115 d for better sepsis diagnostics, several new gene expression classifiers have been recently published
116  e-cigarette aerosol had a reduced impact on gene expression compared to 3R4F smoke exposure in vitro
117 lternative promoter (AP) usage contribute to gene expression complexity but little is known about the
118  scale, our data indicate that ATRX modifies gene expression concomitantly to H3.3 deposition at a se
119 sents an unprecedented resource to study the gene expression consequences of expressing short hairpin
120  induced protective immunity irrespective of gene expression context.
121 ternal RNA modification that is critical for gene expression control in most organisms.
122                       CellNet takes as input gene expression data and compares them with large data s
123 uick implementation for generating realistic gene expression data from biologically relevant networks
124                         Clinical samples and gene expression data from The Cancer Genome Atlas (TCGA)
125 rstand fundamental biological processes from gene expression data has grown in parallel with the rece
126                                   We present gene expression data supporting the hypothesis that Satb
127       Our results highlight the potential of gene expression data to quantify effects of complex expo
128 s and genes from GWAS summary statistics and gene expression data.
129 ing technologies and decreasing costs, large gene expression datasets are being generated at an accel
130 agnosis and relapse, to investigate temporal gene expression differences and associations with post-A
131            We report genome-wide analysis of gene expression, DNA methylation and small RNAs in the r
132 idated on thousands of cancer samples, using gene expression, DNA methylation, noncoding microRNA, an
133 s in vitro, we assessed membrane trafficking gene expression during encystation in the closely relate
134 pts and the characterization of differential gene expression during flower development.
135 esis to help explain the repression of lytic gene expression during latency.
136 vels concomitantly increased to regulate MOR gene expression during neuronal differentiation of P19 c
137 P)-knock-in mice revealed rapid induction of gene expression during papilloma induction and during wo
138 itical control point in dynamically altering gene expression during stress or disease.
139          Alternative splicing contributes to gene expression dynamics in many tissues, yet its role i
140 velopment by integrating in vivo analysis of gene expression dynamics with a reverse engineering appr
141                                Downstream of gene expression, effectors such as the actomyosin contra
142 the regulatory foundation for spatiotemporal gene expression evolved prior to the divergence of spong
143 L-22, and a H4R antagonist (JNJ7777120), the gene expression H4R and RANKL was determined by real-tim
144 riptional regulators that direct AM-specific gene expression have been established.
145 lar and physiological changes in plants like gene expression, hormonal modulation, induced antioxidan
146 mbalances, suggesting that subtle changes in gene expression impact the robustness of biological netw
147 etic loci were significantly associated with gene expression in 329 left atrial samples.
148 , deficiency of TUT4 and TUT7 does not alter gene expression in a variety of somatic cells.
149 hat the ability of dexamethasone to modulate gene expression in airway epithelial cells coincided wit
150             Noncoding RNAs (ncRNAs) regulate gene expression in all organisms.
151      In vitro, IL-17A enhanced IL-13-induced gene expression in asthma-relevant murine and human cell
152 his bivalent epigenetic control of oncofetal gene expression in cancer cells may offer novel insights
153 s are integrated to modulate hypertrophy and gene expression in cardiomyocytes remain unclear.
154 croM), markedly increase (by 1,000-fold) TNF gene expression in cultured human LAD2 and primary mast
155                                 Heterologous gene expression in E. coli confirmed its functions for h
156 ability to both attract and induce virulence gene expression in EHEC, we propose that DHMA acts as a
157 approach for sequence-specific regulation of gene expression in eukaryotic organisms.
158 -repressor complex to regulate gluconeogenic gene expression in HepG2 cells.
159 , we assessed the effects of isoprene SOA on gene expression in human airway epithelial cells (BEAS-2
160 monstrate both synergistic and combinatorial gene expression in human cells.
161 s that play essential roles in regulation of gene expression in humans.
162  Next, to elucidate the role of keratinocyte gene expression in late events during the viral life cyc
163   RNA-seq analysis demonstrates differential gene expression in Lsh-/- NSPCs and suggests multiple ab
164                            Here, we analyzed gene expression in mammalian stem cells and cells at var
165 ersible thiol-oxidations and their impact on gene expression in Mycobacterium smegmatis under hypochl
166 enome-wide cardiac DNA methylation on global gene expression in myocardial samples from end-stage CCC
167 sion during this 'commitment cycle' prepares gene expression in nascent merozoites to initiate sexual
168  is an important technique for understanding gene expression in non-model organisms.
169 t determination of both elevated and reduced gene expression in physiological and pathological proces
170 of DNA, play a significant role in mediating gene expression in plants, which affects growth, develop
171 ches are widespread RNA motifs that regulate gene expression in response to fluctuating metabolite co
172       Our results suggest that regulation of gene expression in sensory neurons can function in the i
173 rared laser, for reproducible heat-dependent gene expression in small sublineages (one to four cells)
174                                              Gene expression in the hippocampus was increased after b
175 e and to increase proopiomelanocortin (POMC) gene expression in the hypothalamus.
176  factor alpha (TNFalpha) to pro-inflammatory gene expression in the nucleus.
177    This also corresponded with the return of gene expression in the recovery group back to baseline e
178 ition are pre-patterned by HD-ZIPIII and KAN gene expression in the shoot, leading to a model in whic
179 lysaccharide- (LPS) induced pro-inflammatory gene expression in THP-1 macrophages.
180                     XND1 also transactivated gene expression in yeast and plants.
181 tions mediated the effects of age and sex on gene expression, including CD8(+) T cells for age and CD
182 echanism globally orchestrates developmental gene expression, including extremely widespread noncodin
183 ifically upregulate additional regulators of gene expression, including other AP2 transcription facto
184 s and suppressed downstream NF-kappaB target gene expression, including the metastasis-related protei
185 ion, and (iii) specific correlations between gene expression increases, such as: MMP9 correlated with
186 atory effect, rapamycin did not affect HIV-1 gene expression induced by T cell activation in these rC
187 derlies altered patterns of cancer-promoting gene expression.Inflammation is known to affect cancer d
188 Ralpha that can be targeted to block ERalpha gene expression is a critical topic of endocrine therapy
189               Noise-induced heterogeneity in gene expression is an inherent reality for cells.
190 for the prominent genus Bacteroides in which gene expression is controlled by a synthetic inducer.
191                                              Gene expression is extensively regulated at the levels o
192                                              Gene expression is precisely regulated during the inflam
193 genome-wide method capable of capturing both gene expression levels and isoform diversity at the sing
194 n; and showed the lowest metastasis-specific gene expression levels and TP53 mutation rates.
195 ity is differentially recruited to fine-tune gene expression levels in each cardiac chamber.
196 Lastly, we trained a classifier based on the gene expression levels in the non-infected cells, and de
197 heritable genetic factors influence SERPING1 gene expression levels, and that these associations are
198 ve greatly increased our ability to identify gene expression levels, including at specific developmen
199                   Genetic variants affecting gene-expression levels are a major source of phenotypic
200             Here, we performed a correlative gene-expression microarray and in vivo imaging analysis,
201 phenethyl ester (CAPE) disrupts neural crest gene expression, migration, and melanocytic differentiat
202 on IL-13-induced airway hyperresponsiveness, gene expression, mucus hypersecretion, and airway inflam
203            In addition to disease-associated gene expression networks that were restored with ASO tre
204 etwork design in shaping this diversity from gene expression noise.
205                The most pronounced change in gene expression occurred during the vegetative-to-reprod
206 s on HHSteC transdifferentiation assessed by gene expression of ACTA2, TGFB1, COL1A1, SYP1, and FN1,
207                                              Gene expression of AF markers was upregulated with 5-30
208 ic risk score analysis; were associated with gene expression of HHIP and FAM13A in lung tissue, respe
209 l metabolite measurements, immunoblotting or gene expression of relevant enzymes.
210                                  In ovaries, gene expression of RSPO1, LIN28, FOXL2, WNT2B, and ETV5,
211                   We also observed increased gene expression of the pro-inflammatory cytokines IFN-ga
212               Adaptation requires changes in gene expression, often mediated by global regulators of
213 opy number variation data available from the Gene Expression Omnibus, the Broad Institute, The Cancer
214                             Here we identify gene expression outliers, or individuals showing extreme
215 wth by inducing an early myogenesis -related gene expression pattern which includes myogenin and Myf5
216 actions between HNF4A and microbiota promote gene expression patterns associated with human inflammat
217  of epigenetic modifications in pathological gene expression patterns in CCC patients' myocardium.
218 ia NOTCH 1, NOTCH2, and NOTCH3 and resulting gene expression patterns in parental and NOTCH1-expressi
219  These similarities contrast with the unique gene expression patterns observed in sporozoites isolate
220                                              Gene expression patterns specific for maturation were mi
221 s provide a high-quality resource of altered gene expression patterns under severe OXPHOS deficiency
222 -derived 2 related factor 2 (NRF2)-dependent gene expression precedes PPK onset, which can be prevent
223 t reported that caused a muted innate immune gene expression profile and decreased immune cell infilt
224  responsible for Lyme disease, modulates its gene expression profile in response to the environments
225                                              Gene expression profile status was class 1 in 247 tumors
226 -ABL1-like ALL, is a high-risk subset with a gene expression profile that shares significant overlap
227 oss on tumor development, each resulted in a gene expression profile with significant overlap.
228 onfronted an automatically generated RN with gene expression profiles (GEP) from a cohort of multiple
229             Hierarchical clustering based on gene expression profiles delineated brain regions into s
230 s the subcortical regions studied by ENIGMA, gene expression profiles for three pathways were signifi
231  developed using in silico generated mixture gene expression profiles from single stressor data were
232                             We then analyzed gene expression profiles of human breast cancer patients
233                              Here we present gene expression profiles of purified microglia isolated
234 l clustering of participants based on global gene expression profiles revealed that participants with
235  resistant to Gyrodactylus and had different gene expression profiles than lake sticklebacks.
236                         We identified 4 host gene expression profiles, among which catabolic remodeli
237  diverse in their physiology, structure, and gene expression profiles.
238 ts, together with a new dataset of 265 ccRCC gene expression profiles.
239                                              Gene-expression profiles and mutant analyses suggest tha
240  and trimethylated lysine 9 in histone), and gene-expression profiles in naive, effector memory (EM),
241                                 Unsupervised gene expression profiling analysis, including principal
242   Materials and Methods We performed digital gene expression profiling on a cohort of 245 formalin-fi
243 ro and drove experimental metastasis in vivo Gene expression profiling revealed a strong association
244                                              Gene expression profiling revealed primary and metastati
245             Expression analyses and unbiased gene expression profiling studies offer a molecular expl
246 ulated when p16 is inactivated by looking at gene expression profiling studies.
247 tral microscopy, quantitative pathology, and gene expression profiling to analyze TLS formation in hu
248 epression of pre-existing ES cell-associated gene expression program is followed by activation of TS
249  melanoma cells become pigmented and enact a gene expression program of melanocyte differentiation.
250 ent epidermal cells, initiating the follicle gene expression program.
251 l key transcription factors in the Th17 cell gene-expression program.
252                     CtBP modulates oncogenic gene expression programs and is an emerging drug target,
253  combined with mutations that impair plastid gene expression (prors1-1, prpl11-1, prps1-1, prps21-1,
254  epigenetic marks) and continuous data (e.g. gene expression, protein abundance, metabolite levels).
255             We analyse the effects of SVs on gene expression, quantitative traits and intrinsic repro
256 antial common regulation and conservation of gene expression regionally along the length of the intes
257 us strengthening the possibility of a direct gene expression regulation exerted by RALY.
258 rotein interactions are essential for proper gene expression regulation, particularly in neurons with
259 ion factors (TFs) is crucial to the study of gene expression regulation.
260  for understanding their functional roles in gene expression regulation.
261                            This ensures that gene expression remains inactive in the germ-line precur
262  are associated with activated and repressed gene expression, respectively.
263 tudy to determine the stability of reference gene expression (RGE) in mice treated with DNBS.
264 nalysis and information gain identified a 14 gene expression signature related to the 9VF's.
265 toma metastasis in vivo Overall, we identify gene expression signatures and candidate therapeutics th
266                                We identified gene expression signatures and clinical data that are as
267                                              Gene expression signatures are commonly used as predicti
268 ling, and diminish mitochondrial respiratory gene expression, spare respiratory capacity, and ATP lev
269                       Functional imaging and gene expression studies both implicate the medial prefro
270 his system will be useful for functional and gene expression studies of cells in the brain that survi
271                       Chemical profiling and gene expression studies showed that solanapyrone A was s
272 binding, triggering a major reprogramming of gene expression that includes components of the virulenc
273 s generate sharply defined domains of target gene expression through an intrinsic and direct threshol
274                  MicroRNAs (miRNAs) regulate gene expression through interactions with target sites w
275      To elucidate the signaling mechanism, a gene expression time course revealed that VE-cadherin an
276       Here the authors use dCas9-VP64-driven gene expression to construct a 'species-like' barrier to
277                    Computational analysis of gene expression to determine both the sequence of lineag
278 s respond to pathogen-mediated disruption of gene expression to nevertheless initiate protective resp
279  orchestrate interactions with regulators of gene expression, transport proteins, and metabolic pathw
280                                 Induction of gene expression under hypoxia requires transcription fac
281 studies focus on identifying mean effects on gene expression using linear regression, evidence sugges
282                    In each case, we analyzed gene expression using RNA sequencing and assessed differ
283         Thus, to a large extent, patterns of gene expression variants simply reflect the balance betw
284 of regulatory RNAs in bacteria that modulate gene expression via small-molecule-induced conformationa
285 The synergy of diabetes and SM16 in altering gene expression was not observed in the lung.
286                                     Additive gene expression was observed in leaves (3605 genes) and
287                                              Gene expression was predominantly located in the epiderm
288                  The most dramatic impact on gene expression was seen for KMO, whose activity promote
289                                 Differential gene expression was validated using NanoString technolog
290 ole of nuclear surveillance in reprogramming gene expression, we identified transcriptome-wide bindin
291                  Gene copy number impacts on gene expression were detected with 528 genes having corr
292 lly active microbial community and H. pylori gene expression were determined using metatranscriptomic
293 ed that they yield comparable estimations of gene expression when ribosome integrity is not compromis
294  a selective down-regulation of SREBP target gene expression, whereas mRNAs involved in glycolysis, g
295 reaks are crucial to the modulation of early gene expression, which provides a mechanistic link betwe
296                   The H3K27me3 mark silences gene expression, while the H3K4me3 mark prevents the reg
297 vealed that AgNPs induced greater changes in gene expression with relevance to oxidative stress, apop
298 ies in the PAPs resulted in perturbations of gene expression, with Star-PAP impacting lowly expressed
299 e hematopoietic mesoderm revealed strong CDX gene expression within definitive hematopoietic mesoderm
300 about the spatial and temporal regulation of gene expression within neurons.

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