ライフサイエンスコーパス: expression pattern

1 icles have not been examined for a circadian expression pattern.

2 n at least one cellular gene with a matching expression pattern.

3 s of several regions each with a unique gene expression pattern.

4 vating cofactors) were decisive for the gene expression pattern.

5 oints with each tissue displaying a distinct expression pattern.

6 ntrahippocampal Purkinje cell protein 4 gene-expression pattern.

7 YB genes exhibits a different spatiotemporal expression pattern.

8 derstand the species-dependent developmental expression pattern.

9 k gene transcripts showed a strong circadian expression pattern.

10 PC-derived exosome contain different protein expression pattern.

11 , germline, and somatic tissue-specific gene expression patterns.

12 53, and we identify sequences affecting both expression patterns.

13 ells (THP1-MPhi) have largely conserved gene expression patterns.

14 s based on differences in mucin cleavage and expression patterns.

15 ory landscape of genes with distinct gonadal expression patterns.

16 g the course of development along with their expression patterns.

17 treatment, modulated rejection-related gene-expression patterns.

18 erally stimulated, in line with UFGT and STS expression patterns.

19 mapping between spatial positioning and gene expression patterns.

20 network connectivity and with organ-specific expression patterns.

21 intestines from mice and characterized gene expression patterns.

22 , and resulted in suppressed macrophage gene expression patterns.

23 es to precisely regulate spatiotemporal gene expression patterns.

24 ed Turing systems inspired by published gene expression patterns.

25 account for their restricted versus pan-arch expression patterns.

26 onserved talin homologs that differ in their expression patterns.

27 or factors in the differing Lhcf2 and Lhcf15 expression patterns.

28 cell types by analyzing ligand and receptor expression patterns.

29 L1 and exhibits differential tissue-specific expression patterns.

30 found that they have diverse spatiotemporal expression patterns.

31 ed computational predictions of spatial gene-expression patterns.

32 d genes such as TMPRSS2 and ERG show similar expression patterns.

33 the resulting phenotypes and changes in gene expression patterns.

34 computational search for cell-specific gene expression patterns.

35 Although synthetic spatial gene expression patterns(14-17) have been explored under homo

36 clusters gene expression data based on their expression pattern across different contexts and determi

37 We examine variation in this specific gene expression pattern across the whole brain, finding a dis

38 nscript, termed MIRb-ACE2, exhibits specific expression patterns across the aerodigestive and gastroi

39 These distribute in unique expression patterns across the brain, rendering AMPAR/TA

40 n fact, the EMV cargo genes exhibited normal expression patterns after gene editing.

41 We screened rice (Oryza sativa) sRNA expression patterns against Rhizoctonia solani and found

42 Fluxes in expression patterns among organs are nonrandom, forming

43 ptome analysis revealed distinctive temporal expression patterns among the cold-regulated genes in le

44 sequencing (sRNA-seq) data analysis, inverse expression pattern analysis, public data integration, an

45 The expression pattern and biological role of ITGAV expressi

46 ine synthesis, GuaB2, displayed the opposite expression pattern and its depletion perturbed septation

47 The spatiotemporal expression pattern and stress-induction of the Nppa and

48 However, normal expression pattern and translocation to the nucleus were

49 demonstrate that the TFVs could recapitulate expression patterns and be used to track tissue origins.

50 velopment requires coordination between gene expression patterns and cellular processes across develo

51 ted with particular tissue or cell-type gene expression patterns and found that the basal ganglia and

52 Expression patterns and functional blockade of the recep

53 een identified, but the differences in their expression patterns and functions are not fully understo

54 This study examines the expression patterns and functions of CD103 and CD49a wit

55 the neurons share statistically significant expression patterns and morphological characteristics, s

56 nal cells use a cohort of TFs with different expression patterns and multiple CRMs with different chr

57 dition, we identify Gal4 lines with specific expression patterns and perform lineage tracing of subpo

58 ns to information about gene function, mouse expression patterns and phenotypes, and gene involvement

59 ynGAP isoforms exhibit unique spatiotemporal expression patterns and play distinct roles in neuronal

60 ical ontology terms by analyzing the spatial expression patterns and their textual descriptions.

61 feres with memory consolidation, alters gene expression patterns, and disrupts spine morphology.

62 filing strategy to delineate the identities, expression patterns, and dynamic regulation of chemokine

63 approach to connect cells with similar gene-expression patterns, and learn informative, empirical pr

64 regulatory rules for generating diverse gene expression patterns, and provide a tissue-specific resou

65 many of which demonstrate cell-type-specific expression patterns-and thereby affect phenotypically re

66 Mammalian gene expression patterns are controlled by regulatory element

67 in biology is to understand how complex gene expression patterns are encoded in the genome.

68 We demonstrate that unique isoform expression patterns are generated by the activities of L

69 contrast, we found experimentally that gene expression patterns are highly robust.

70 rosophila midbrain and found that transposon expression patterns are highly stereotyped.

71 Status-driven gene expression patterns are linked not only to social status

72 Further, we demonstrate that basal gene expression patterns are predictive of changes in FOS cor

73 Gene expression patterns are registered to these standard ref

74 r in response to environmental stimuli, gene expression patterns are tightly regulated by the dynamic

75 differences and suggest that the broader ape expression pattern arose due to mutational changes that

76 (z) KO mice have a dramatically altered gene expression pattern as compared with WT HFD-fed mice, wit

77 Subtype 2 was characterized by a gene expression pattern associated with metabolic processes (

78 sponse to PEM induction and reports microRNA expression patterns associated to specific symptom sever

79 ed with the FFAR2 agonist no longer had gene expression patterns associated with activation or IL27 p

80 ranscriptome atlas to identify regional gene expression patterns associated with affected areas of th

81 In all cases, we discovered new gene expression patterns associated with histological structu

82 ction communication in hDFC and induces gene expression patterns associated with osteogenic different

83 However, gene expression patterns associated with vaccine-induced Ab r

84 fruits suggested that the ANKs have specific expression patterns at various developmental stages in p

85 ose a framework to harnesses the correlative expression patterns between lncRNA and PCGs to impute un

86 rug sensitvity biomarkers with concordant co-expression patterns between the PDXs and pretreatment ca

87 have the potential to further resolve these expression patterns, but currently available methods do

88 biquitination does not influence global gene expression patterns, but instead ensures selective high

89 K is large, the 3K - 1 possible differential expression pattern categories generated by AW-Fisher can

90 ial identity, as they exhibit signature gene expression patterns consistent with physiological human

91 i, an etiological agent of LF, chemoreceptor expression patterns correspond to distinct parasite migr

92 ingle-cell RNA sequencing studies on gene co-expression patterns could yield important regulatory and

93 t PROX1 displays a strong and highly dynamic expression pattern during NoR development.

94 pecific miRNA that displays a stage-specific expression pattern during progenitor expansion and early

95 These genes exhibited dynamic expression patterns during adipogenesis and robust expre

96 st genes exhibit dynamic epigenetic and gene expression patterns during development and between diffe

97 We further identify expression patterns during essential developmental event

98 cific genes and change their tissue-specific expression patterns during evolution.

99 rs and microRNAs establish and maintain gene expression patterns during hematopoiesis.

100 (LRR)-RLKs in Arabidopsis and analyzed their expression patterns during various developmental stages.

101 eling of single neurons within the id2b:gal4 expression pattern enabled us to characterize three tect

102 tions, the cause for this heterocellular HbF expression pattern, even among genetically identical cel

103 mi- and ra-siRNAs, we detected differential expression patterns following genome merger and genome d

104 established a quantitative and time-resolved expression pattern for the entire miRNome over a period

105 wn-regulated in RCC and shows a differential expression pattern for two isoforms of 36 and 33 kDa.

106 nd characterizing the translational reporter expression patterns for 14 auxin biosynthesis genes.

107 fed states, both mouse strains shared common expression patterns for about 10,200 genes, and an addit

108 ndings show the time course of changing gene expression patterns for multiple AKI stages and all rena

109 high-temporal resolution as its seven stripe expression pattern forms, and developed tools to charact

110 LL-37 had a distinct expression pattern from HNP 1-3: LL-37 was upregulated i

111 en shown to minimally correlate with genomic expression patterns from blood leukocytes in humans.

112 eveloped from computational analysis of gene expression patterns from implant biopsies that could pre

113 While gene expression patterns from most cell subsets display signs

114 We recovered many known expression patterns from our single-cell RNA-seq data an

115 By reporting the expression patterns, functions, and Hox gene regulation

116 n aneuploid budding yeast, two opposing gene-expression patterns have been reported: the "environment

117 of clustering analysis and can discover gene expression patterns hidden by noise.

118 Although class A ARFs have tissue-specific expression patterns, how their expression is regulated i

119 inflammation, but its non-selective cellular expression pattern implies roles beyond inflammatory pro

120 This expression pattern implies that CEPR1 controls yield and

121 c analysis revealed a characteristic hepatic expression pattern in offspring as a result of ME with t

122 The gene expression pattern in the cryptal mesenchymal cells show

123 At least 5 ion channels show a circadian expression pattern in the ventricles of failing human he

124 mental morphologies together with their gene expression patterns in a centralized standardized datase

125 The identification of specific molecular expression patterns in allograft biopsies related to dif

126 cent TB exposure, we determined whether gene expression patterns in blood RNA correlated with time si

127 Extensive experimental validation of unique expression patterns in both ovarian and nearby, nonovari

128 ort provides the fullest characterization of expression patterns in calcium-responsive genes, protein

129 nchoalveolar lavage (BAL) cytokine/chemokine expression patterns in children with severe therapy-resi

130 We found three expression patterns in DA cells, organized along the ros

131 r, these StBiPs are distinguishable by their expression patterns in different tissues and in response

132 Here, we characterize gene expression patterns in distinct neural cell types of the

133 Exploring gene expression patterns in DN3 cells from Wt and Arid1a-defi

134 me extended to translation fidelity and gene expression patterns in DNA damage response pathways.

135 roscopy, and the extent to which genome-wide expression patterns in gastruloids mimic those in embryo

136 ailed to drive erythroid phenotypes and gene expression patterns in GATA1 knockout cells.

137 on in this canine model correspond with gene expression patterns in human breast tissues.

138 ted 50 ST genes had different spatiotemporal expression patterns in leaf tissues, 10 STs were specifi

139 eed-dehydration-related genes showed similar expression patterns in leaves of both desiccation-tolera

140 DICER [17%], TARBP2 [38%]) showed increased expression patterns in MDD subjects.

141 und that TSP-12 and TSP-14 share overlapping expression patterns in multiple cell types, and that bot

142 ere found in the three ecotypes, they shared expression patterns in only 5 out of 236 genes that resp

143 ive value of HLA-G and HLA-F protein isoform expression patterns in patients with breast cancer.

144 ships between these four conditions and gene expression patterns in peripheral blood obtained at earl

145 d curate the morphological outcomes and gene expression patterns in planaria.

146 disruption of hippocampal AMPKalpha isoform expression patterns in postmortem human AD patients and

147 Overall we observed heterogeneous protein expression patterns in progressors compared to more homo

148 Their expression patterns in representative species from five

149 d distinct and, albeit moderately, inducible expression patterns in response to biotic and abiotic st

150 hromatin accessibility, TF binding, and gene expression patterns in resting and activated subsets of

151 Identifying genes that display spatial expression patterns in spatially resolved transcriptomic

152 In both clusters, most genes showed similar expression patterns in symbiotic and aposymbiotic anemon

153 rovide insights into cell-type-specific gene expression patterns in the developing human cortex and a

154 ased on the consistency level between the co-expression patterns in the given sample and samples in a

155 nation of mRNA transcript abundance and gene expression patterns in the internal organs of deceased h

156 a number of Y chromosomal genes had altered expression patterns in the paternal lineage males.

157 eptive units devoted to color vision; and 5) expression patterns in the peripheral hemispheres of the

158 oforms had nonoverlapping cell-type-specific expression patterns in the root meristematic zone.

159 y corroborates shared features of early gene expression patterns in the thalamus between Xenopus and

160 n quality of life (QoL), and changes in gene expression patterns in TM.

161 teen members of TaCLPB gene family and their expression patterns in various tissues, developmental st

162 nes, specialized metabolites and global gene expression patterns, in combination with heterologous ex

163 This unusual expression pattern is mostly dictated by differences in

164 Formalizing spatial phenotypes and gene expression patterns is especially challenging in organis

165 The ability to rapidly change gene expression patterns is essential for differentiation, de

166 on to stimulate a common protumorigenic gene expression pattern leading to anoikis resistance and pro

167 ation of epigenetic noise that disrupts gene expression patterns, leading to decreases in tissue func

168 elements that govern novel aspects of a gene expression pattern [M.

169 erial and viral pathogens; however, cytokine expression patterns manifested independently of pathogen

170 Mirroring these different expression patterns, MDFI stimulated and MDFIC inhibited

171 Significantly, we identified two distinct expression patterns (myofibroblast- and fibroblast-like)

172 ization is a consequence of distinct isoform expression patterns, not protein sequence, and we propos

173 he dynamic epithelial and mesenchymal Wnt10a expression pattern occurred during root development.

174 We analyzed the expression pattern of 1094 unique receptors across this

175 An alternative approach is to focus on the expression pattern of a molecule whose function has been

176 We first defined the expression pattern of Ddr2 during tooth formation using

177 The expression pattern of DeltaNp63 in human cancer suggests

178 o in an embryo specific mutant can alter the expression pattern of EAS marker genes.

179 d treated with VEGF A and FGF 2 and the mRNA expression pattern of EGR family members were documented

180 Consistent with the overlapped expression pattern of FAM20C and Periostin, our data dem

181 s including the heart, similar to the mirror expression pattern of GATA6-AS1 and GATA6 during cardiom

182 tion steps; meanwhile, pDCs exhibit a unique expression pattern of gene modules that are correlated w

183 of the TFs NURR1 and ERR1 in modulating the expression pattern of genes coexpressed with DRD2 in hum

184 However, the expression pattern of genes with conserved inter-tissue

185 ctions of peripheral AVMs to investigate the expression pattern of integrin alpha(v)beta(3) Results:

186 These results provide new insight into the expression pattern of Jedi-1 in the peripheral nervous s

187 campus can be predicted within 2mm using the expression pattern of less than 100 genes.

188 ectodermal dysplasia and reveal the dynamic expression pattern of Lrp6 during tooth development.

189 Analyzing the expression pattern of metabolic pathways of two hematopo

190 ere, we perform a systematic analysis of the expression pattern of mWake mRNA, protein, and cells thr

191 Here, we describe the spatial expression pattern of Notch pathway components in adult

192 A similar expression pattern of occludin and E-cadherin was observ

193 To date, the expression pattern of only a small number of genes in ga

194 Here, we demonstrate the expression pattern of PDLIM1 through immunofluorescence

195 qRT-PCR analysis was performed to verify the expression pattern of pivotal S. spontaneum MADS-box gen

196 Similarly, the expression pattern of primary metabolic genes could be u

197 Here, we report the expression pattern of prospero-related homeobox 1 (PROX1

198 We validated the expression pattern of several genes via reverse transcri

199 taking on different parts of the function or expression pattern of the ancestral gene.

200 q data by quantitative PCR, and examined the expression pattern of the genes identified from this ass

201 Results indicate a variable expression pattern of these genes across serum samples b

202 Importantly, however, the expression pattern of tRNAs is obliquely known.

203 ated a non-selective and multi-cellular gene expression pattern of TSPO at basal conditions in the ad

204 icated that HIV-1 perturbed the differential expression patterns of 19 miRNAs (13 upregulated and 6 d

205 Here, we studied the unique gene expression patterns of 31 different breast cancer cell l

206 ating transcriptome to activity: the spatial expression patterns of a few genes predict region-to-reg

207 insulators, shielding the Tyr locus from the expression patterns of adjacent genes.

208 ariation in cortical contexts shapes the RNA expression patterns of adult neocortical interneurons.

209 First, we determine the brainwide expression patterns of all metabotropic receptors for ac

210 Elucidating the expression patterns of all opsin transcripts expressed i

211 the mouse brain cell types implicated by the expression patterns of associated genes.

212 over, transcriptome analyses to compare gene expression patterns of astrocyte harboring active versus

213 Gene expression patterns of CD8(+) T cells have been reported

214 infiltrating CD4(+) T cells also differed by expression patterns of CD95, PD-1, and Tim-3.

215 cient consistency to clearly distinguish the expression patterns of cell lines and individual nuclei

216 Here we compared the global gene expression patterns of CTBs from PAS cases to gestationa

217 Viral infection can change the expression patterns of different genes linked to defense

218 s expressed in retinal tissues and determine expression patterns of each in the stomatopod Neogonodac

219 However, the distinct expression patterns of factors associated with the IFN-a

220 Additionally, we characterized the expression patterns of four other peptides with structur

221 A in tissues are regulated by spatiotemporal expression patterns of genes encoding RA-synthesizing an

222 tical method, SPARK, for identifying spatial expression patterns of genes in data generated from vari

223 , we characterized the regional and cellular expression patterns of GLP-1R expressing cells in the CN

224 We also examined the expression patterns of GLP-1R in mouse models of metabol

225 Surprisingly, despite similar expression patterns of hmx2 and hmx3a during embryonic d

226 the adjacency matrix of a connectome to the expression patterns of its neurons, helping us uncover a

227 Expression patterns of key cambium regulators and hormon

228 the "male pregnancy" gradient together with expression patterns of key immune and pregnancy genes in

229 used miRNA-sequencing technology to compare expression patterns of miRNAs.

230 The analysis has also shown that the expression patterns of numerous genes involved in gemcit

231 ion of organ shape is fueled by variation in expression patterns of regulatory genes causing changes

232 Integrating the binding motifs and expression patterns of RNA binding proteins with exon sp

233 our analyses provide insights into the gene expression patterns of SARS-CoV-2-reactive CD4(+) T cell

234 The expression patterns of seven candidate genes, including

235 We investigated the gene expression patterns of skeletal muscle cells using RNA-s

236 rd loops (I1-FFL) contributed to the dynamic expression patterns of targets.

237 in a time-dependent manner with spatial gene expression patterns of the 5-HT(2A) (5-hydroxytryptamine

238 y roots displayed different or even opposite expression patterns of the genes involved in glycolysis

239 the organoids, and demonstrate that protein expression patterns of the tissue of origin can be prese

240 Observed expression patterns of these 33 transcripts were highly

241 biological functions, target substrates, and expression patterns of these enzymes as a primer for fut

242 We then identified the spatiotemporal expression patterns of these genes at key developmental

243 his study characterizes the localization and expression patterns of TPBG in the developing and adult

244 t stages have a significant influence on the expression patterns of transcripts.

245 monoclonal anti-Siglec-15 Ab to clarify its expression pattern on immune cells.

246 e of identifying genes that follow a similar expression pattern only in a subset of samples and hence

247 We determined genome-wide expression patterns over an annual dormancy cycle in bot

248 As the MtRRB3 expression pattern overlaps with those of MtNSP2 and MtC

249 s, the ready visualization of T(M) chemokine-expression patterns permits a detailed stratification of

250 Moreover, they demonstrate that gene expression patterns reflecting the cellular hierarchy of

251 (PRC1)-like protein with a ripening-related expression pattern, represses fruit ripening via colocal

252 inflammatory vigor and uncovers dormant gene expression patterns resembling inflammatory myeloid cell

253 is to identify new regulatory genes based on expression patterns resembling those of genes with known

254 brain and hESC-derived beta-like cell GLP1R expression patterns, reveal higher-order GLP1R organizat

255 Depending on their structural changes and expression patterns, some of the detected isoforms may i

256 patients, revealed cell-type-specific SLAMF7 expression patterns, strong correlations between exhaust

257 described here can be used to mimic complex expression patterns, such as the ones found for pneumoco

258 Gene expression patterns, such as those of Nurr1/Nr4a2, have

259 w marked differences in circadian clock gene expression patterns, suggesting fundamental deviations f

260 This Ddr2 expression pattern suggests a potential role in the toot

261 Ex vivo validation of expression patterns suggests C. innocuum stimulates tiss

262 the temporospatial organization of chemokine expression patterns, synthesis and secretion kinetics, a

263 old miRNAs are more likely to have conserved expression patterns than young miRNAs.

264 compared with control tissue, but had a gene expression pattern that indicated immune cell infiltrati

265 t squares analysis to find the weighted gene expression pattern that was most colocated with the cort

266 d both similar and distinct protein and gene expression patterns that are related to their inherent p

267 ing (scRNA-seq) has revealed the genome-wide expression patterns that define its many, closely relate

268 When comparing gene expression patterns that were shared between the two hos

269 given their complex tissue distribution and expression patterns, their role within specific processe

270 two categories have characteristic receptor expression patterns: 'threshold' receptors are expressed

271 luorescent immunohistochemistry to map their expression patterns throughout the adult mouse brain.

272 exploiting their antigenicity and restricted expression pattern to target them with cancer immunother

273 sion profile after ALPPS showed more similar expression pattern to the PH than the PVL at the early p

274 An extensive relational database connects expression patterns to information about gene function,

275 unction is integrated to produce robust gene expression patterns to variations in the dorsal maternal

276 ers potentially define their spatio-temporal expression patterns under developmental and stress relat

277 nd wild accessions, numerous transcripts had expression patterns unique to particular genotypes, or t

278 transcription factor 4 (ATF4), modifies gene expression patterns upon T. gondii infection.

279 s-which were readily identified by their RNA-expression patterns-varied in abundance and RNA expressi

280 Cell proliferation was examined, gene expression pattern was profiled by genome-wide microarra

281 nriching for genes that display a sinusoidal expression pattern, we discover 485 genes that oscillate

282 -exome sequences and neurodevelopmental gene expression patterns, we identified a subgroup of patient

283 The analyses of expression patterns were based on four large datasets wi

284 Gene expression patterns were compared with curated data sets

285 The differential expression patterns were confirmed by quantitative PCR.

286 Expression patterns were further evaluated in matched tu

287 associated with deviations from normal gene expression patterns were identified by expression quanti

288 major site of expression but individual gene expression patterns were not conserved between the two n

289 rminal repeats (LTRs) revealed that the gene expression patterns were similar and that the active pop

290 idization to show that sema1a.1 and sema1a.2 expression patterns were spatially distinct in the embry

291 these hiPSCs identified alterations in gene expression patterns which precede morphological abnormal

292 ommon functionalities as reflected by the co-expression patterns, which are distinct from samples in

293 cognized based on their cellular origins and expression patterns, while their detection has been grea

294 ed new transcripts that share a differential expression pattern with a neighboring gene Pik3cg implic

295 ogram genes, Il17ra exhibited a synchronized expression pattern with Cxcr4 and GC program genes.

296 21r, and Il4r genes exhibited a synchronized expression pattern with Cxcr5 and plasma cell program ge

297 c databases to identify correlations in gene expression pattern with patient outcomes.

298 Many E. huxleyi contigs had a diel expression pattern, with 61% of contigs clustering into

299 Recent work has shown that gene-expression patterns within the mTEC compartment are hete

300 ided increasingly detailed knowledge of gene expression patterns, yet the different regulatory archit