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1 ithin the renal medulla modulates a specific gene expression pattern.
2 lncRNAs) may reprogram cells by altering the gene expression pattern.
3 the identification of a laticifer-associated gene expression pattern.
4 ledge about the mechanisms that control this gene expression pattern.
5 on correlations between epigenetic marks and gene expression pattern.
6 ) mice by improving the white adipose tissue gene expression pattern.
7 sion show that iPSCs retain a donor-specific gene expression pattern.
8 olic hormones, and reversion to a fetal-like gene expression pattern.
9 e enhancers are linearly combined to fit the gene expression pattern.
10 e respective promoter sequences support this gene-expression pattern.
11 ed to increase cell size displayed a similar gene-expression pattern.
12 alpha interplay reveals a geometry-dependent gene-expression pattern.
13 L), the genetic determinants of variation in gene expression patterns.
14 g of the fusion proteins leading to specific gene expression patterns.
15 the hallmarks of cancer is the disruption of gene expression patterns.
16  failure and reversion to fetal splicing and gene expression patterns.
17 resulting in contaminated cells with altered gene expression patterns.
18 genic cell populations possess heterogeneous gene expression patterns.
19 and geochemical conditions largely determine gene expression patterns.
20 d multiplexing targets to manipulate complex gene expression patterns.
21 sting of pleiotropy and tissue-specific risk gene expression patterns.
22  output channels are delineated by different gene expression patterns.
23 ogram that supports the neuron type-specific gene expression patterns.
24 differentiation, which was also reflected in gene expression patterns.
25 semble human disease progression in terms of gene expression patterns.
26 eles would be one evolutionary route for new gene expression patterns.
27 n twelve and nearly thirty thousand distinct gene expression patterns.
28 nding the regulatory mechanisms that control gene expression patterns.
29 form) have examined just a few structures or gene expression patterns.
30 imental data in both Dorsal distribution and gene expression patterns.
31 inations to establish at least four distinct gene expression patterns.
32 y element landscape can result in changes in gene expression patterns.
33  well synchronized changes in morphology and gene expression patterns.
34  that belong to the same cell types based on gene expression patterns.
35 no-CAP patients revealed shared and distinct gene expression patterns.
36 acZ enzyme activity can be used to determine gene expression patterns.
37 re required for coordinating mature neuronal gene expression patterns.
38 ions of gene expression plus spatial maps of gene expression patterns.
39  the immune system tailors pathogen-specific gene expression patterns.
40 chromatin covalent modifications that affect gene expression patterns.
41 n, morphogenesis, and dynamic spatiotemporal gene expression patterns.
42 hereby effectively 'freezing in' the in vivo gene expression patterns.
43 plant morphophysiological responses based on gene expression patterns.
44 mutations but reset leukemic DNA methylation/gene expression patterns.
45 ed with typical mutational, cytogenetic, and gene expression patterns.
46 strepton, reduced the chromosome instability gene expression patterns.
47 risk patients with advanced disease based on gene expression patterns.
48  that exhibited different condition-specific gene expression patterns.
49 expected to result in artifactual changes in gene expression patterns.
50 ators -NFkappaB (p65) and MKL and downstream gene-expression patterns.
51 ith network and pathway analyses to identify gene-expression patterns.
52 tal enhancer and target promoters and alters gene-expression patterns.
53 otypes, electrophysiological properties, and gene-expression patterns.
54 te that best matches each triplet's observed gene expression pattern across many conditions.
55 ntial stability to assess reproducibility of gene expression patterning across 132 structures in six
56                     Comparisons of duplicate gene expression patterns across a wide range of tissues
57 lso analyzed protein domain interactions and gene expression patterns across different tissues.
58 show surprising similarities of the parasite gene expression patterns across infections, despite exte
59 ng techniques are limited to only exploiting gene expression patterns across multiple tissues either
60 cer cells of common origin manifest distinct gene expression patterns after metastasizing to differen
61  tested for evolutionary divergence in brain gene expression patterns after three to four generations
62                                         This gene expression pattern agrees with uncoupled rates of t
63                                  We compared gene expression patterns among primary human gastric cel
64            Results demonstrated variation of gene expression patterns among species and a strong corr
65 e results were well correlated with the same gene expression pattern analysed in the thyroid tissue o
66  show a pre-induction metanephric mesenchyme gene expression pattern and are significantly associated
67 ovide insights into the role that changes in gene expression pattern and epigenetic mechanisms contri
68 ation in CLL was associated with an indolent gene expression pattern and increasingly favorable clini
69                                          The gene expression pattern and localization of the protein
70         We integrated data on baseline liver gene expression pattern and the MELD score to create the
71 nating the relationship between differential gene expression patterns and ABA pathway feedback regula
72 elated with increased chromosome instability gene expression patterns and aneuploidy.
73 x signals from the microenvironment regulate gene expression patterns and cell behavior.
74 cts in scRNA-seq samples by integrating both gene expression patterns and data quality information.
75           Here, we analyzed ecdysone-related gene expression patterns and found that they were consis
76 cterized significant correlations of gene-to-gene expression patterns and gene expression-to-metaboli
77 derived from these areas, attending to their gene expression patterns and histogenesis.
78 ased on the statistical associations between gene expression patterns and patient outcomes, we identi
79 ssue samples were collected and analyzed for gene expression patterns and phosphorylation of signalin
80 , ambroxol, mimics aspects of the identified gene expression patterns and promotes axon regeneration
81 he Earth, has been shown to influence global gene expression patterns and protein levels in cultured
82 s and neural ectoderm cells possess distinct gene expression patterns and signaling networks as indic
83 Gain-enriched modules also showed correlated gene expression patterns and similar transcription facto
84  nine different macaques had distinct MneHV7 gene expression patterns and that the overall number of
85  subcutaneous infections in mice and exhibit gene expression patterns and virulences distinct from th
86 m children with asthma would induce specific gene expression patterns and whether such patterns were
87 mental origin, oncogenic drivers, paralogous gene expression pattern, and chromosomal structure of ea
88 es, characterization of phenotypes including gene expression patterns, and generation of human diseas
89 jects show similar but attenuated changes in gene expression patterns, and no genes meet the signific
90 l and molecular atlases, global and specific gene expression patterns, and transcriptional profiling
91 s characterized by specific surface markers, gene-expression patterns, and distinct functions.
92 AP(S127A) mice had increased CIN25 and CIN70 gene expression patterns, aneuploidy, and defects in mit
93 trained on natural image sets and applied to gene expression pattern annotation tasks yielded superio
94    These alterations in microbiome-sensitive gene expression patterns are associated with daily alter
95 vergent genomes: embryonic cell lineages and gene expression patterns are conserved between distantly
96                                      Precise gene expression patterns are established by transcriptio
97                                      Complex gene expression patterns are mediated by the binding of
98 handling and alterations in Ca(2+)-dependent gene expression patterns are pivotal characteristics of
99     Patients with pure DCIS have a different gene expression pattern as compared to patients with DCI
100                                              Gene expression patterns, assayed by RNA sequencing, sho
101 roach: to predict if a CRM drives a specific gene expression pattern, assess not only how similar the
102                      Neutrophil activity and gene expression patterns associated with cartilage damag
103                                              Gene expression patterns associated with chromosome inst
104 on of Ifnb in wild-type B cells and distinct gene expression patterns associated with endogenous IFN-
105 actions between HNF4A and microbiota promote gene expression patterns associated with human inflammat
106 e show that AmTRPV4 channel activity affects gene expression patterns associated with male differenti
107 rmore, mitochondrial supplementation reduced gene expression patterns associated with metabolic disor
108 e-learning methods can be trained to use the gene expression patterns associated with the text-derive
109 ad elevated TLR9 and PAX5, but not BLIMP1 (a gene-expression pattern associated with mature follicula
110  achieved superior performance in annotating gene expression patterns at multiple levels of brain str
111 -supervised learning algorithm that predicts gene expression patterns based on enriched sequence feat
112 s within one individual can display distinct gene expression patterns because of epigenetic marks tha
113                               Comparisons of gene expression patterns between retained transcription
114 aches confined to fold-change comparisons of gene expression patterns between states of health and di
115 ferences were associated with differences in gene expression patterns between subjects in different c
116 owerful tool to identify GxE interactions in gene expression patterns by exploiting naturally occurri
117                                         Most gene expression patterns can be realized by more than on
118 ofiles of 58 neocortical cells and show that gene expression patterns can be used to infer the morpho
119 tched control subjects, showed a strong mRNA gene expression pattern change in multiple molecular pat
120  does not activate any unique IL-13-mediated gene expression patterns, confirming its role as a decoy
121 he early stages of this symbiosis, including gene expression patterns consistent with biochemical str
122 for carbon and energy sources, but displayed gene expression patterns consistent with iron and cobala
123  lines which exhibit genetic alterations and gene expression patterns consistent with luminal and bas
124 terface and advance our knowledge of dynamic gene expression patterns controlling placental morphogen
125                                  The dynamic gene expression pattern data reveal clear sex-related ch
126 of circuit structures able to drive multiple gene expression patterns decreases rapidly with the numb
127 that act at transcribed enhancers to dictate gene expression patterns determining growth outcomes, in
128                     The observed RSV-induced gene expression patterns did not differ significantly in
129 ls of global gene expression, yet predicting gene expression patterns directly from genome sequence r
130  no change in microcirculation inflammation, gene expression patterns, DSA levels, or kidney function
131                             Reprogramming of gene expression patterns during development and injury r
132 eflect the major events that mark changes in gene expression patterns during early Xenopus developmen
133 -MYB83 regulatory system in finely balancing gene expression patterns during H. schachtii parasitism
134 he Nodal morphogen gradient induces distinct gene expression patterns during zebrafish embryogenesis,
135 th of these datasets in combination to probe gene-expression patterns during regeneration, examining
136                                      Spatial gene expression patterns enable the detection of local c
137 ignatures of breast cancer (based on complex gene expression patterns) enabled identification of seve
138          The two plant systems showed common gene expression patterns for different pathways.
139                    The results showed unique gene-expression patterns for some ILCs and overlapping p
140 ured neurons differed markedly from that the gene expression patterns found previously using whole DR
141                                  Analysis of gene expression patterns from intestinal tissues of EED
142                                P. aeruginosa gene expression patterns from sputum clustered closely t
143             Studies that have focused on the gene expression patterns (functions) of circuits with a
144 propose a computational approach to annotate gene expression pattern images in the mouse brain at var
145                              We identified a gene expression pattern in rectal tissues of patients wi
146 eq results via PCR array confirmed a similar gene expression pattern in response to PTH and 1,25D tre
147 lood microarray analysis revealed a distinct gene expression pattern in sepsis patients with <50 x 10
148               The results also show that the gene expression pattern in serk3-2 mutant roots is simil
149 he molecular biology of a unique coordinated gene expression pattern in which cell architecture is ma
150 n tomography to rapidly image brain-specific gene expression patterns in 3D at cellular resolution.
151 ent, and their neighborhoods correlated with gene expression patterns in a predictable manner.
152 vior, the honey bee, revealed distinct brain gene expression patterns in African and European honey b
153 lustering method was used to identify immune gene expression patterns in blood over time points (befo
154  of epigenetic modifications in pathological gene expression patterns in CCC patients' myocardium.
155                    Anatomical location drove gene expression patterns in CD8(+) T cells that led to p
156                                 Differential gene expression patterns in cells of the mammalian brain
157                                 Here, we use gene expression patterns in combination with weighted ge
158  or lacrimal gland can be distinguished from gene expression patterns in control tissue and overlaps
159                      Here, we examine global gene expression patterns in corals and their intracellul
160 ularized learning methods for discriminating gene expression patterns in different brain structures.
161  We further integrated our inferred GRN with gene expression patterns in different seed compartments
162  readouts of 37 enhancers regulating spatial gene expression patterns in Drosophila embryo, and show
163                                              Gene expression patterns in esophageal tissues of FP res
164  on injured epidermis, we showed that global gene expression patterns in highly occluded versus non-o
165          Moreover, we identified distinctive gene expression patterns in human urine as potential bio
166                 Analysis of subtype-specific gene expression patterns in independent datasets derived
167 mental activation alters DNA methylation and gene expression patterns in isolated CD8(+) T cells prio
168  a model developmental system and changes to gene expression patterns in its signaling centers, notab
169 he disrupted development as well as aberrant gene expression patterns in leukemic cells to molecular
170                           We compared global gene expression patterns in livers from wildtype, Gcn2 (
171                          On a pathway level, gene expression patterns in livers of mice on the high-f
172 ditional targeting approaches, we determined gene expression patterns in maturing flow-sorted 5-HT ne
173 there were no fundamental differences in the gene expression patterns in multibacillary and paucibaci
174 h-resolution 3-D in situ hybridization (ISH) gene expression patterns in multiple developing stages o
175 ipheral blood leukocyte levels/responses and gene expression patterns in nasal cells were largely con
176 ia NOTCH 1, NOTCH2, and NOTCH3 and resulting gene expression patterns in parental and NOTCH1-expressi
177                  Here, we explore the use of gene expression patterns in peripheral blood mononuclear
178            In this study, we compared global gene expression patterns in progeny of damaged and contr
179  changes in hydration status alter epidermal gene expression patterns in rabbit partial-thickness inc
180                              Glia also alter gene expression patterns in response to axonal injury bu
181 molecules in thick tissue samples can reveal gene expression patterns in single cells within their na
182 s to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded r
183 ivity response analysis (MARA), which models gene expression patterns in terms of computationally pre
184 th next-generation RNA sequencing, we define gene expression patterns in the context of the entire em
185                             We also analyzed gene expression patterns in the early globular embryo an
186 llating cells that together produce rhythmic gene expression patterns in the embryo.
187                            The comparison of gene expression patterns in the embryonic brain of mouse
188 r proximity response, we separately analyzed gene expression patterns in the major light-sensing orga
189  make a strong case that the preservation of gene expression patterns in the wake of extensive rewiri
190 nological alterations in DNA methylation and gene expression patterns in this process have been poorl
191 as a powerful methodology to quantify global gene expression patterns in various contexts from single
192 ecades on the development, organization, and gene expression patterns in various extant species.
193 ains in C(3), including typical housekeeping gene expression patterns in various tissues as well as i
194  prevalent epigenetic alterations regulating gene-expression patterns in mammalian cells.
195 ifts in cyanobacterial abundances and global gene-expression patterns in response to natural and mani
196 is required to confer a trophoblast-specific gene expression pattern, including up-regulation of Elf5
197  platforms displayed a strong correlation in gene expression patterns, including a strong induction o
198 o and reestablished leukemic DNA methylation/gene expression patterns, including an aberrant MLL sign
199 on medicine paradigm, wherein a biomarker or gene expression pattern indicates a patient's likelihood
200                                   To compare gene expression patterns involved in maize endosperm cel
201                   It also recapitulates many gene expression patterns involved in perinatal skeletoge
202       Surprisingly, a relatively constrained gene expression pattern is observed in brain compared wi
203 wever, little is known about how hormone and gene expression patterning is generated.
204             Decoding the temporal control of gene expression patterns is key to the understanding of
205 ical monocytes, which demonstrate a distinct gene expression pattern, is independent of the mutationa
206 ate phosphoribosyltransferase also displayed gene expression patterns linked to mitochondrial dysfunc
207 ted proneural toward an astroglia-associated gene expression pattern, manifest in downregulation of p
208 ive time course that fall into nine distinct gene expression patterns, many of which correlate with p
209 de supporting evidence that adipose-specific gene expression patterns may be driven by epigenetic eff
210 gene regulatory elements that facilitate the gene expression patterns necessary for neuronal differen
211 and immune signaling pathways and maintained gene expression patterns normally decreased by castratio
212 ibutions of these moieties were in line with gene expression patterns observed during wing imaginal d
213  These similarities contrast with the unique gene expression patterns observed in sporozoites isolate
214                         We then analyzed the gene expression pattern of inflammatory cells in HCC tum
215                        We studied the neural gene expression pattern of LIMK-1, cofilin-1, and beta-a
216  To address this gap, we compared the global gene expression pattern of primary human hepatocytes bef
217 induced TRPM3 channel activation changes the gene expression pattern of the cells by activating trans
218 tudied 11 organ-dependent and stress-induced gene expression patterns of 286 Arabidopsis lyrata dupli
219 rdiomyocyte differentiation, we analyzed the gene expression patterns of 96 developmental genes at si
220 yzed the mutation, copy number variation and gene expression patterns of a literature-derived model o
221  the genome-wide nuclear DNA methylation and gene expression patterns of brain tissue.
222                                              Gene expression patterns of cytokinin biosynthetic and s
223  morphologies and matched the characteristic gene expression patterns of endogenous sensory neurons,
224 ymphatic vessel leakiness and changes in the gene expression patterns of lymphatic endothelial cells.
225 ing these caste differences, we compared the gene expression patterns of MGs from queens, queenright
226 ional model to exhaustively characterize the gene expression patterns of nearly 17 million three-gene
227                       Understanding distinct gene expression patterns of normal adult and developing
228                  We analyzed the genome-wide gene expression patterns of rice (Oryza sativa) growing
229                           Analysis of global gene expression patterns of soybean CIPK family revealed
230  maternal input, bicoid (bcd), and measuring gene expression patterns of the network at cellular reso
231 ucidate the spatially and temporally dynamic gene expression patterns of Y. enterocolitica biovar 1B
232 relationship between personal expression and gene expression, patterns of natural language use may pr
233                                          The gene-expression patterns of the subsets supported both t
234                We found broad differences in gene expression patterns on microarray analysis includin
235 clinical manifestation, immunohistology, and gene expression pattern, plus the fact that they bequeat
236 h decreased survival and that MUC1-C-induced gene expression patterns predict poor outcomes in patien
237 d Tfh cells in vitro, and possessed a unique gene expression pattern related to Tfh and Th2 cells.
238 to platinum drugs, in large part by altering gene expression patterns related to DNA repair and immun
239 ate proteomic profiling analyses to identify gene-expression patterns related to clinical outcome.
240                                   Changes in gene expression patterns represent an essential source o
241 s approach to investigate associations among gene expression patterns, representative protein-protein
242 eg cells were potently suppressive and their gene-expression pattern resembled that of normal breast
243 stingly, the normal bystander cells acquired gene expression patterns resembling their malignant coun
244 We assessed their architecture, mutation and gene expression patterns, response to compounds in cultu
245 Analysis of all presently available neuronal gene expression patterns reveals a remarkable congruence
246 Genome-enabled metabolic reconstructions and gene expression patterns show that these marine archaea
247                                  Analyses of gene expression patterns showed that stress-responsive t
248           Tumors that overexpressed IGF2 had gene expression patterns significantly associated with h
249 -infected cells displayed a plasma cell-like gene expression pattern similar to PELs.
250 zes beta-catenin) resulted in organoids with gene expression patterns similar to developing human duo
251 read transcriptional dysregulation and adopt gene expression patterns similar to normal committed pro
252 ding genetic variation, chromatin structure, gene expression patterns, small RNAs and protein-DNA int
253                                              Gene expression patterns specific for maturation were mi
254 s genome topography and the establishment of gene expression patterns, specification of DNA replicati
255                                        Salix gene expression patterns strongly suggest cultivar-wide
256                                     Further, gene expression patterns suggested that excess gaseous I
257 e placentas showed similar robust changes in gene expression patterns suggestive of an altered abilit
258         Phylogenetic inference and different gene expression patterns support functional divergence o
259 ted functional relationships in data such as gene expression pattern surveys or somatic mutation cata
260 tion (STAT) proteins, leads to inappropriate gene expression patterns that can promote tumor initiati
261 ctivity is paramount to the understanding of gene expression patterns that determine cell behaviour.
262  shared functional abnormalities and altered gene expression patterns that differed from those in unu
263 ies in the regulatory systems that establish gene expression patterns that foreshadow the arrangement
264 es in site-specific methylation patterns and gene expression patterns that may indirectly change adap
265 tome of the stem/progenitor cells for unique gene-expression patterns that would indicate potential r
266  of erythroid cells and MKs, and overlapping gene expression patterns, the MK IR program is entirely
267                 Together with their distinct gene expression patterns, this differential accumulation
268 nner-to control neuronal- and glial-specific gene expression patterns throughout life.
269 xpression score was calculated to reduce the gene expression patterns to a single metric.
270  a Hidden Markov Model (HMM) and tissue-wide gene expression patterns to determine putative functiona
271                       We investigated T-cell gene expression patterns to determine the mechanisms by
272 s and epigenetic regulators establish stable gene expression patterns to ensure that stem cells are n
273 DC subsets, functions, hematopoietic origin, gene expression patterns, transcription factors critical
274 f immune cells, tissue-specific markers, and gene expression patterns typically associated with germi
275 s provide a high-quality resource of altered gene expression patterns under severe OXPHOS deficiency
276 NA-sequencing analyses revealed differential gene expression patterns unique to infiltrating and resi
277  metastatic breast cancer cells from dynamic gene expression patterns using a succession of analytica
278                            In addition, abrB gene expression patterns varied significantly between co
279                        In comparisons of EAC gene expression patterns, we associated high expression
280     By further analyzing changes in cellular gene expression patterns, we identified the IL-1 recepto
281 ound in complex diseases and tissue-specific gene expression patterns, we propose as an Empirical Bay
282                                              Gene expression patterns were analyzed by microarrays an
283                                              Gene expression patterns were determined using microarra
284                                              Gene expression patterns were evaluated with a polymeras
285                              Immediate early gene expression patterns were informative of signaling p
286                   Cytokines, chemokines, and gene expression patterns were measured by flow cytometry
287                   Robust bacteria-associated gene expression patterns were significantly associated w
288 uncatula roots from the ENM treatment, while gene expression patterns were similar between bulk/disso
289                   The general morphology and gene expression patterns were similar between tendons of
290 hese alterations of testicular histology and gene expression patterns were specific to TAp73 null mic
291              Genome-wide DNA methylation and gene expression patterns were studied in 58 IL-13-treate
292 wth by inducing an early myogenesis -related gene expression pattern which includes myogenin and Myf5
293 asticity involves a precise orchestration of gene expression patterns whose transcriptional regulator
294  human neocortex has an "hourglass" temporal gene expression pattern with robust and dynamic transcri
295  form PMN-MDSCs; 3) tumor-derived GPs shared gene expression patterns with IRF8(-/-) GPs, suggesting
296  characteristic morphological properties and gene expression patterns with their counterparts in vivo
297                                  We compared gene expression patterns with those of liver tissues fro
298 3 cells and found significant differences in gene-expression patterns, with activation of genes invol
299  identify distinct keloid disease-associated gene expression patterns within defined keloid regions.
300 s by FFLs may contribute to the diversity of gene expression patterns within GR-regulated transcripto

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