ライフサイエンスコーパス: expression analyses

1 females in a murine model via histologic and expression analyses.

2 T cells (CTL) using flow cytometry and gene expression analyses.

3 e mechanistic insight using gene and protein expression analyses.

4 g biochemical, immunohistochemical, and gene expression analyses.

5 expression quantitative trait loci and gene expression analyses.

6 lla replication within macrophages with gene expression analyses.

7 these cells through immunostaining and gene expression analyses.

8 l framework in order to perform differential expression analyses.

9 e-wide transcription factor binding and gene expression analyses.

10 ng meta-analysis and employ pathway and gene expression analyses.

11 munophenotyped using mass cytometry and gene expression analyses.

12 n in CSB neurons using unbiased RNA-seq gene expression analyses.

13 nts were characterized by molecular and gene expression analyses.

14 alidate findings from global RNA- or protein-expression analyses.

15 espirometry, enzyme activity assays and gene expression analyses.

16 novel control methods that may require gene expression analyses.

17 (HGS) ovarian cancer using gene and protein expression analyses.

18 with HPLC, complemented by gene and protein expression analyses.

19 nd an outcome of interest in high throughput expression analyses.

20 ecular fluorescence complementation and gene expression analyses.

21 is not detected by traditional differential expression analyses.

22 y examining 3' UTR and CDS sequences in gene expression analyses.

23 about the quality of many published gene co-expression analyses.

24 scope based on both gene sequence and tissue expression analyses.

25 d increased myeloid bias in single-cell gene expression analyses.

26 on, in vitro gel retardation assays and gene expression analyses.

27 termined by histological appearance and gene expression analyses.

28 ndings supported by histopathologic and gene-expression analyses.

29 ondary end points included RFS, OS, and gene expression analyses.

30 , protein homology modeling, mutational, and expression analyses.

31 ion (GTEx) datasets allow unprecedented gene expression analyses.

32 clinical chemistry, immunostaining, and gene expression analyses.

33 multiplexed experimental designs for common expression analyses.

34 Comparative embryonic gene expression analyses across tetrapod species suggest ASHC

35 Systematic expression analyses across tissues and developmental sta

36 ance estimation is an important step in gene expression analyses aimed at identifying differentially

37 Gene expression analyses allowed us to classify genotypes bas

38 unambiguous count statistics in two specific expression analyses - alternative splicing and gene diff

39 Genome-wide expression analyses and binding experiments indicate tha

40 Gene expression analyses and CD68 immunostaining revealed att

41 Our study validates reference genes for expression analyses and demonstrates highly effective RN

42 Estrogen-responsive gene expression analyses and estrogen receptor (ESR) immunofl

43 sequencing followed by unbiased genome-wide expression analyses and found that a population of uncou

44 To identify mechanisms, we carried out gene expression analyses and found that several genes, includ

45 By performing gene expression analyses and functional studies via RNA inter

46 ocesses for isolation of intact microRNA for expression analyses and genomic DNA (gDNA) for CpG methy

47 rformed integrated genome-wide chromatin and expression analyses and identified Ikaros target genes i

48 Gene expression analyses and immunostaining revealed microgli

49 en-chamber and between-sex differential gene expression analyses and intersection with genetic and ph

50 s or focal laser uncaging, coupled with gene expression analyses and Notch invalidations, to address

51 underlying isolated MR, we performed LV gene expression analyses and overlaid regulated genes into in

52 Gene expression analyses and promoter-GUS fusion assays docum

53 ormed comprehensive comparative digital gene expression analyses and revealed novel transcription sta

54 , 3D bone imaging, electron microscopy, gene expression analyses and safety assessments.

55 Expression analyses and unbiased gene expression profili

56 These data were combined with gene expression analyses, and candidate enhancers were identi

57 e use a combination of genetic mapping, gene expression analyses, and functional assays to identify a

58 hemical assays, recombinant cell lines, gene expression analyses, and immunohistochemistry to evaluat

59 rates comparative genomics data, global gene expression analyses, and intrinsic properties of transcr

60 -directed mutagenesis, mouse and human brain expression analyses, and patch clamp techniques were per

61 henotypic characterizations of veg2 mutants, expression analyses, and the use of protein-protein inte

62 large and can affect downstream differential expression analyses as well.

63 ants and perform allele-specific binding and expression analyses at seven top candidate loci: 9p21.3,

64 cells (ESCs) and to conduct multiplexed gene expression analyses at the single-cell level by using 48

65 Subsequent differential expression analyses based on datasets integrated from di

66 More specifically, the combined use of co-expression analyses based on self-organizing maps with s

67 nges in leukocyte and neutrophil genome-wide expression analyses between healthy and injured mice (p

68 Differential gene expression analyses between tumors in the TCGA-PRAD coho

69 users to slightly modify their differential expression analyses by incorporating statistical graphic

70 ated CTC from the HVB were subjected to gene expression analyses by quantitative polymerase chain rea

71 atin immunoprecipitation sequencing and gene expression analyses carried out by us revealed that BACH

72 ing chromatin immunoprecipitation assays and expression analyses, CD47 expression was found to be reg

73 ditional loss-of-function models, genomewide expression analyses, chromatin immunoprecipitation, and

74 Cross-species gene expression analyses classified SB-driven tumors into dis

75 ed transcriptomics and phylogenetic and gene expression analyses clearly identified specific gene mem

76 spite the recent advance of single-cell gene expression analyses, co-measurement of both genomic and

77 Using single-cell gene expression analyses combined with different reporters fo

78 rst global DNA promoter methylation and gene expression analyses comparing human cancers to their rep

79 and summer conditions, and in vivo-targeted expression analyses confirmed that proopiomelanocortin (

80 Genomic, mRNA, and protein expression analyses confirmed that the new cell systems

81 Notably, mRNA and protein expression analyses confirmed the renal expression of th

82 Gene expression analyses consistently identify regulation of

83 ith loneliness in this sample, although gene expression analyses controlled for AD diagnosis).

84 Gene expression analyses coupled with chromatin immunoprecipi

85 Phylogenetic and gene expression analyses demonstrate exWAGO orthologues are h

86 Unbiased global gene expression analyses demonstrate that MECP2 functions as

87 Gene expression analyses demonstrate that Postn-Cre ablates H

88 hIP) combined with sequencing (ChIP-seq) and expression analyses demonstrated that IRF2-occupied gene

89 Our findings are further reinforced by gene expression analyses demonstrating the upregulation of EM

90 s an important data preparation step in gene expression analyses, designed to remove various systemat

91 Notably, the expression analyses detected the transcription of a RNAS

92 ait locus (eQTL) mapping and allele-specific expression analyses, discovering substantial evidence fo

93 ion, including localization studies, dynamic expression analyses, epigenetic modification monitoring,

94 Furthermore, gene expression analyses established the ability of DKK2 to d

95 Gene expression analyses focused on a set of target genes put

96 By performing astrocyte gene expression analyses following 14 experimental perturbati

97 Global gene expression analyses following Setd8 knockdown demonstrat

98 Finally, detailed expression analyses for the previously characterized org

99 ant B-cell precursors, and according to gene expression analyses from 207 children with minimal resid

100 Moreover, gene expression analyses from children with ALL showed that p

101 Epigenetic and RNA-expression analyses further discriminated the offspring'

102 Gene expression analyses further identified six genes (TSPAN2

103 Expression analyses have been used to find such markers,

104 Gene expression analyses have identified subtypes of conventi

105 Gene expression analyses highlighted the association between

106 In addition, our gene expression analyses identified a subgroup of tumours ass

107 Gene expression analyses identified Pdk1-dependent changes in

108 Finally, homoeolog-specific gene expression analyses identify TaAGL33 and its splice vari

109 rate and flexible pipelines for differential expression analyses, ii) different methods for tumor pur

110 ow able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expr

111 Gene expression analyses in Arabidopsis (Arabidopsis thaliana

112 We used ChIP and differential gene-expression analyses in Arabidopsis seedlings overexpress

113 ), we carried out global and fine-scale gene expression analyses in different regions of the corolla.

114 for three candidates by spatial and temporal expression analyses in five grape cultivars.

115 hese tools include unbiased gene and protein expression analyses in kidney, urine and blood, the loca

116 Genome-wide gene expression analyses in liver cells performed in this stu

117 Furthermore, we performed eQTL and co-expression analyses in lung tissue.

118 Gene and protein expression analyses in lymphocytes and tumor samples ide

119 stability through multiple differential gene expression analyses in melanoma and the Cancer Genome At

120 Comparative expression analyses in MEP, MkP, and ErP populations rev

121 Western blot and mRNA expression analyses in mice yielded consistent data.

122 Transient transformation assays and expression analyses in mutants reveal that, in planta, t

123 nsmission electron microscopy (TEM) and gene expression analyses in order to assess diverse cellular

124 Comparative gene expression analyses in P. univalens and Caenorhabditis e

125 and provide novel mechanistic insights using expression analyses in patients with asthma.

126 lism were assessed together with global gene-expression analyses in peripheral blood mononuclear cell

127 Genome-wide differential gene expression analyses in the cerebral cortex and cerebellu

128 Gene and protein expression analyses in the peripheral blood mononuclear

129 eriments and the results of two differential expression analyses in which we successfully identified

130 lyses of the mutated genes in zebrafish, and expression analyses in zebrafish, mouse, and human.

131 he direct usage of pseudo-alignment to other expression analyses, including alternative splicing or d

132 Morphological, histological, and in situ RNA expression analyses indicate that Cul4 acts at axil and

133 Gene expression analyses indicate that NHFs and MWFs separate

134 Gene expression analyses indicate that NPA and PCIB regulate

135 Genome-wide expression analyses indicate that TAZ/YAP, TEADs, and TG

136 Expression analyses indicate that XVP activates CLAVATA3

137 e (FC) of 2.0 as a threshold value, the gene expression analyses indicated that 19 genes were differe

138 Gene expression analyses indicated that Brg1 regulates a sign

139 Genome-wide gene expression analyses indicated that GATA3 regulated a sim

140 Gene expression analyses indicated that granulocytes are the

141 Our phenotypic and gene expression analyses indicated that PUB4 promotes express

142 Expression analyses indicated that TAG1 and TAGL1 act to

143 Gene expression analyses indicated that the addition of CS -

144 Recent ChIP-seq and RNA expression analyses indicated that WhiA and WhiB regulat

145 Gene expression analyses led to the identification of two sma

146 Genetic mapping and gene expression analyses localized the sld mutation within th

147 Quantitative and global gene expression analyses (microarray and RNAseq) were used to

148 Expression analyses of 23 genes involved in salinity str

149 We performed phylogenetic and expression analyses of a leaf developmental regulator (C

150 In gene expression analyses of adipose tissue, expression of the

151 Expression analyses of all paralogs of class II TCP gene

152 Co-expression analyses of AtPIP2;1 with endomembrane marker

153 Here, we used co-expression analyses of available Arabidopsis thaliana tr

154 Time-series gene expression analyses of bulk cells have difficulty distin

155 e in CaM-mediated signaling pathways by gene expression analyses of CaM KMT and phenotypic characteri

156 Expression analyses of cell-wall synthetic genes and wal

157 age to determine leaf freezing tolerance and expression analyses of cold-responsive genes revealed th

158 Second, global expression analyses of copt2-1 versus wild-type Arabidop

159 Expression analyses of cytokines in peritoneal tissue an

160 Single-cell gene expression analyses of FACS-sorted macrophages revealed

161 Expression analyses of genes associated with the abscisi

162 Herein, we conducted gene expression analyses of HER2 kinase inhibitor-resistant c

163 l staining for infiltrating immune cells and expression analyses of inflammatory genes revealed that

164 Further, biochemical and gene expression analyses of key enzymes from these pathways p

165 Gene expression analyses of leukemia cells extracted from the

166 In-depth expression analyses of lncRNAs with genomic loci adjacen

167 Single-cell gene expression analyses of mammalian tissues have uncovered

168 oice for gene discovery through differential expression analyses of microarray and high-throughput PC

169 Expression analyses of miR-383 in PCa clinical tissues e

170 olymerase chain reaction (RT-PCR)-based gene expression analyses of molecules that regulate the infla

171 Gene expression analyses of NAC-treated NPC1ASO mice suggeste

172 behaviours with population genomic and gene expression analyses of neural tissue (central brain, opt

173 Integrated ChIP-seq and gene expression analyses of patient-derived cell lines reveal

174 on genome-wide transcriptional profiling and expression analyses of phloem-related markers, we conclu

175 Expression analyses of POLD3 were conducted via real tim

176 sor of secondary metabolism is shown by gene expression analyses of polyketide synthases and the dete

177 serum alanine aminotransferase activity, and expression analyses of proinflammatory cytokines.

178 Gene expression analyses of publically-available data (n = 23

179 Here, using growth and expression analyses of relevant PK mutants, we show that

180 ith human total and enriched blood leukocyte expression analyses of severe trauma patients at 0.5, 1,

181 Moreover, in differential expression analyses of simulated and real datasets, BPSC

182 Integrated in situ and real-time expression analyses of stage-specific markers highlighte

183 Expression analyses of the 44 genes encoded in this geno

184 ological and immunocytochemical analyses and expression analyses of the marker genes demonstrated tha

185 performed microarray-based comparative gene expression analyses of the pollen mother cell stage in s

186 Here, we use time series gene expression analyses of the rattlesnake venom gland in co

187 Expression analyses of the two genes show that they are

188 Gene expression analyses of the two mesenchymal states indica

189 Combinatorial expression analyses of these markers reveal at least thr

190 Gene expression analyses of these plants reveal a trade-off b

191 along with systems-based comparative and co-expression analyses of these transcriptome maps identifi

192 Gene expression analyses of transgenic corn plants confirmed

193 this study, we performed phenotypic and gene-expression analyses of treatment-naive and engineered to

194 Gene expression analyses of tumor-infiltrating T cells follow

195 Metabolomic and gene expression analyses of urine and tissue samples from mic

196 Gene expression analyses on both mRNA and microRNAs show a mo

197 Gene expression analyses on brains from these mice show chang

198 Whole-transcriptome gene expression analyses on WNT-dependent KDR(+)CD235a(-) def

199 i2a-Sxi1alpha heterodimer using whole genome expression analyses paired with in silico and in vitro b

200 The co-expression analyses performed by using RNA-Seq data supp

201 Expression analyses performed on a panel of several diff

202 antitative muscle morphology, gene and miRNA expression analyses, proteasome activity, motor activity

203 Gene expression analyses (quantitative PCR, RNA sequencing) s

204 Expression analyses reveal an up-regulation of CAII and

205 Subsequent gene-expression analyses reveal that complex antibiotic-induc

206 Global gene expression analyses reveal that trisomy 12 profoundly af

207 Gene expression analyses revealed a changed ratio due to an i

208 Gene expression analyses revealed a more regulatory profile f

209 ical staining of tissue microarrays and mRNA expression analyses revealed a positive association betw

210 Gene expression analyses revealed both a pronounced upregulat

211 Gene expression analyses revealed CD68 and the redox-related

212 Expression analyses revealed increased levels of IL-36al

213 However, unbiased gene expression analyses revealed marked differences, includi

214 Gene-expression analyses revealed reciprocal changes of genes

215 Gene expression analyses revealed significant overlap of TNFa

216 Moreover, gene-expression analyses revealed that anti-RSPO treatment in

217 Genome wide expression analyses revealed that BDNF and NT4 mutant mi

218 Temporal expression analyses revealed that CDX4 was expressed exc

219 Instead, genome-wide and gene-specific expression analyses revealed that Cpdm mesenchymal cells

220 In patients with non-small cell lung cancer, expression analyses revealed that high TLR7 expression w

221 Protein and mRNA expression analyses revealed that kidney proximal tubule

222 Gene expression analyses revealed that MKs are the source of

223 Comparative expression analyses revealed that the core ExoR regulon

224 These expression analyses revealed that the salivary gland hig

225 Expression analyses revealed that these four genes are s

226 Gene expression analyses revealed that UPL3 expression is neg

227 Flow cytometric and gene expression analyses revealed that VAT transplantation re

228 Expression analyses revealed the abundance of Pten trans

229 Gene expression analyses show strong correlation between the

230 Mechanistically, genome-wide expression analyses show that anti-RANKL therapy promote

231 Furthermore, global gene expression analyses show that GW9662 treatment suppresse

232 Chromatin-binding and eRNA expression analyses show that LED associates with and ac

233 Liver histology and gene expression analyses showed increased inflammation and li

234 Genome-wide expression analyses showed that IBH1 and IBL1 act interd

235 Gene expression analyses showed that regulation of the cell m

236 Expression analyses showed that this activity was coinci

237 Differential expression analyses significantly correlated across Euro

238 Genome-wide expression analyses similarly reveal distinct roles for

239 Quantitative facial expression analyses successfully verified the positive e

240 Electroretinography and gene expression analyses suggest a nonautonomous, RPE-depende

241 Recent gene-expression analyses suggest that the mechanisms that reg

242 Those findings, coupled with single-cell expression analyses, suggest that a continuum of progeni

243 Gene expression analyses suggested a variety of biological pr

244 Gene expression analyses suggested that differential expressi

245 Histomorphometric and gene expression analyses suggested that neurofibromin, by inh

246 Global gene expression analyses suggested that Rb maintains the "sta

247 esults of geNorm, NormFinder, and BestKeeper expression analyses support the use of actin and ribosom

248 ations and counterintuitively, temporal gene expression analyses supported up-regulated osteoclastoge

249 38 expression was consistent with prior gene expression analyses that identified the alpha soluble NS

250 sequence also facilitated high resolution co-expression analyses that revealed three distinct cluster

251 In conjunction with the aforementioned gene expression analyses, these results strongly suggest that

252 Expression analyses through mRNA in situ hybridization a

253 nservation, phylogenomic and integrated gene expression analyses to define gene family structures in

254 ected FGFs and subjected to gene and protein expression analyses to determine their effects on RPE an

255 We then performed extensive gene and protein expression analyses to discover that neither frozen, nor

256 uitination assays, RNA-interference and gene expression analyses to examine the possibility that USP1

257 le mapping with population genomics and gene expression analyses to identify a gene, cortex, that reg

258 integrate acclimation experiments with gene expression analyses to identify the cues that regulate r

259 ol that complements traditional differential expression analyses to make discoveries from gene expres

260 or enriched in HCs, extending previous gene expression analyses to reveal novel HC proteins and isof

261 hromatin immunoprecipitation and genome-wide expression analyses to study a possible role of Rme1 in

262 y network inference, genetic interaction and expression analyses to suggest that DRL1 and ZAG1 target

263 We used mutational and gene expression analyses to validate both candidate genes and

264 Surface marker- and RNA-expression analyses, together with in vitro colony forma

265 According to gene expression analyses, trout myomaker expression is consis

266 Further gene expression analyses uncovered that intercellular purine

267 In silico and in vivo expression analyses unraveled differential accumulation

268 Quality of gene expression analyses using de novo assembled transcripts

269 essential lincRNAs was then subjected to co-expression analyses using independent data from ENCODE a

270 Typical experimental design advice for expression analyses using RNA-seq generally assumes that

271 his pealeii Through lineage tracing and gene expression analyses, we demonstrate that cells expressin

272 ic, transcriptomic, and tissue-specific gene expression analyses, we demonstrated that Q governs thre

273 aining and quantitative and comparative gene expression analyses, we determined that Prox1 upregulati

274 rough genetic, metabolomic, and heterologous expression analyses, we established their construction b

275 Furthermore, using bioinformatic and gene expression analyses, we find that the AP-1 response in r

276 Using mass cytometry and gene expression analyses, we identified 2 populations of hepa

277 Using sequencing and gene expression analyses, we identified a subgroup of HCA cha

278 combined in silico prediction and microarray expression analyses, we identified and validated the sph

279 By integrating ChIP-seq and expression analyses, we identify target genes that requi

280 Using dual-luciferase assay and over-expression analyses, we reveal for the first time that B

281 Using various expression analyses, we revealed a high co-overexpressio

282 ranscriptome and genome sequencing, and gene expression analyses, we show that a single gene, doubles

283 Immunohistochemical and gene expression analyses were also completed on xenograft tum

284 equencing, RNA immunoprecipitation, and gene expression analyses were applied to identify the downstr

285 Flow cytometry and targeted gene expression analyses were completed to assess pericyte qu

286 Global gene expression analyses were conducted using splicing-sensit

287 This included IL2RA, where allele-specific expression analyses were consistent with its interaction

288 BAC cloning and expression analyses were employed to characterize these

289 Gene expression analyses were performed by RT-PCR.

290 First, whole-genome cellular and viral gene expression analyses were performed in lymph nodes of MCF

291 Immunostaining and gene expression analyses were performed to establish the expr

292 using Illumina HiSeq 2500, and differential expression analyses were performed using DESeq2 (|fold c

293 Expression analyses were performed with tumors harvested

294 Functional and genome-wide expression analyses were performed.

295 Gene expression analyses were subsequently performed for iden

296 s combined with nutrient, jasmonate and gene expression analyses were used to test: whether RWW adult

297 teractions, and this is consistent with gene expression analyses, which reveal a greater expression o

298 Here we combined single-cell gene-expression analyses with 'machine-learning' approaches t

299 Combining detailed expression analyses with gain- and loss-of-function stud

300 The comprehensive expression analyses with simple clicking through GEPIA g