ライフサイエンスコーパス: transcriptomic

1 : allelic, chromatin interactomic, and brain transcriptomic.

2 integrate ordinal clinical information with transcriptomics.

3 eomics, copy number variation, and polysomal transcriptomics.

4 particular by recent advances in single-cell transcriptomics.

5 rdination, showcasing the need for long-read transcriptomics.

6 Comparative transcriptomics across mutants and developmental stages

7 of immune cells in the FRT was supported by transcriptomic analyses and a correlation network.

8 Comparative genomics of two flatfish and transcriptomic analyses during metamorphosis point to a

9 Transcriptomic analyses generated a Notch gene signature

10 insight typically studies individual genes, transcriptomic analyses have sparked a new wave of disco

11 Transcriptomic analyses of these plants suggests that SV

12 Transcriptomic analyses revealed in the absence of the s

13 Transcriptomic analyses revealed significant overlaps be

14 Proteomic and transcriptomic analyses revealed that Cav3.2 inhibition

15 Transcriptomic analyses revealed that scavenging of apop

16 In this study, transcriptomic analyses revealed the early onset of chol

17 Further, transcriptomic analyses show progressive changes in ribo

18 Transcriptomic analyses show that unfavorable neuroblast

19 Transcriptomic analyses showed that glycolysis regulates

20 Proteomic and transcriptomic analyses were performed on 44 CRC cell li

21 a (HCC) using high-dimensional proteomic and transcriptomic analyses.

22 Transcriptomics analyses showed increased expression of

23 ress this question, we performed comparative transcriptomics analyses to identify candidate genes and

24 inhibitor phenotypic screens, and miRNA-mRNA transcriptomics analyses, we identify three proviral and

25 c immunotherapies that cannot be provided by transcriptomic analysis alone.

26 isolate live Ag-specific CD4(+) T cells for transcriptomic analysis and potentially for a range of o

27 Transcriptomic analysis during acute infection in diabet

28 ation, oxidative stress, and cell death, and transcriptomic analysis identified numerous key signalin

29 Transcriptomic analysis identified other RNAs that are r

30 Transcriptomic analysis in endothelial cells identified

31 Here we have performed transcriptomic analysis in skeletal muscle, and plasma m

32 Transcriptomic analysis of 134 IPF patients revealed tha

33 We thus performed comprehensive genomic and transcriptomic analysis of 34 ALM patients.

34 Transcriptomic analysis of a spermidine-depleted B. subt

35 We have conducted the first comprehensive transcriptomic analysis of all three organisms in an eff

36 Transcriptomic analysis of APCs showed components of the

37 Transcriptomic analysis of atrial and ventricular tissue

38 We performed a whole-transcriptomic analysis of blood samples from Malian chi

39 Transcriptomic analysis of both human and murine ILC2s c

40 However, transcriptomic analysis of bulk skin tends to drown out

41 novel Golgi stress mediators, we performed a transcriptomic analysis of cells exposed to three differ

42 To address this question, we performed a transcriptomic analysis of early embryonic development i

43 Transcriptomic analysis of LDB1-depleted beta cells reve

44 This is the first deep transcriptomic analysis of macrophages in the context of

45 Finally, based on the results of a transcriptomic analysis of parasitized bees fed with pol

46 Transcriptomic analysis of sonicated brain supported the

47 Transcriptomic analysis of subcutaneous inguinal white a

48 Overall, this is the first global transcriptomic analysis of the human host response follo

49 Transcriptomic analysis of the paraventricular nucleus r

50 Finally, transcriptomic analysis of tumor and adjacent nontumor t

51 Transcriptomic analysis of tumors displaying acquired ve

52 to work with new generation sequencing (NGS) transcriptomic analysis results using an ontology-driven

53 Transcriptomic analysis revealed broad inflammatory path

54 Transcriptomic analysis revealed differential gene expre

55 Phenotypic, functional, and transcriptomic analysis revealed specific features of TS

56 This transcriptomic analysis reveals that gene expression in

57 Transcriptomic analysis reveals that the extent of suppr

58 Transcriptomic analysis shows that term pregnancy in the

59 eering developments in single bacterial cell transcriptomic analysis technology, we generated herein

60 mcircRasGEF1B depletion with high-throughput transcriptomic analysis to gain insight into its functio

61 Together with transcriptomic analysis, our results suggest that cells

62 human PDR fibrovascular membranes (FVMs) via transcriptomic analysis.

63 mere "potential", as provided by genomic and transcriptomic analysis.

64 sing the scenario encountered in practice in transcriptomic analysis.

65 h the geographical variation observed in the transcriptomic analysis.

66 Here, the authors provide transcriptomic and biochemical data to identify two enzy

67 ocopying the effects of IYO knockdown at the transcriptomic and developmental levels.

68 defined by their characteristic genome-wide transcriptomic and DNA methylomic profiles.

69 Single cell experimental techniques reveal transcriptomic and epigenetic heterogeneity among cells,

70 Through transcriptomic and epigenomic analyses, we investigated

71 We collected transcriptomic and epigenomic datasets from these mice u

72 twork within the integrated framework of the transcriptomic and epigenomic landscape of mouse and hum

73 We performed a transcriptomic and epigenomic study in patient-derived B

74 Transcriptomic and functional analyses of Kras-independe

75 en plant species, we performed a comparative transcriptomic and genomic analysis at the level of one

76 mplement the recent advances in enumeration, transcriptomic and genomic characterization of these rar

77 putative WGDs as identified from analyses on transcriptomic and genomic data and analyzed these in co

78 We present a computational study of transcriptomic and genomic data of both ethanol-stressed

79 of novel signals on gene expression in large transcriptomic and genomic data resources, and examined

80 ies from 35 patients, using a combination of transcriptomic and genomic profiles.

81 ng convergent evidence from animal and human transcriptomic and genomic studies, we aimed to identify

82 Finally, these observations were mirrored in transcriptomic and histological signatures of residual c

83 Transcriptomic and metabolic analyses demonstrated that

84 Coupling transcriptomic and metabolomic analyses of the pea (Pisu

85 In this study, we combined targeted transcriptomic and metabolomic analyses to discover pren

86 The integration of transcriptomic and metabolomic data in this study, toget

87 and genomic prediction performs better than transcriptomic and metabolomic predictions.

88 Here, through transcriptomic and metabolomic profiling of hematopoieti

89 iations between orthogonal datasets, such as transcriptomic and metabolomics signatures, cell populat

90 otential new way for transposons to modulate transcriptomic and phenotypic variations.

91 Transcriptomic and phosphoproteomic profiling revealed d

92 e niches has largely depended on comparative transcriptomic and proteomic analyses of different devel

93 While transcriptomic and proteomic analyses of normal lung dev

94 Transcriptomic and proteomic analyses revealed that modu

95 genome sequencing efforts should incorporate transcriptomic and proteomic analysis in combination wit

96 persistent AF were analyzed using a combined transcriptomic and proteomic approach.

97 t, as well as secondary analysis of existing transcriptomic and proteomic databases.

98 much research has been performed at genomic, transcriptomic and proteomic level, there is still a sig

99 respect to identifying genetic, epigenetic, transcriptomic and proteomic profiles of disease.

100 Transcriptomic and quantitative proteomic analyses of in

101 bution, the Cell Atlas, built by integrating transcriptomics and antibody-based immunofluorescence mi

102 Using transcriptomics and bioenergetic analysis, we discovered

103 Using transcriptomics and in-depth splicing analysis in young

104 ic pathway utilizing the first comprehensive transcriptomics and metabolomics datasets for Rhodiola r

105 Single-cell transcriptomics and mutagenesis analysis delineated dyna

106 Cell type-specific transcriptomics and pharmacological experiments revealed

107 We integrated large transcriptomics and proteomics datasets from malignant a

108 While high-throughput methods have made transcriptomics and proteomics datasets widely accessibl

109 We used genome-wide transcriptomics and single-cell phenotyping to explore t

110 nding of non-coding regulatory mechanisms of transcriptomics and unraveled essential molecular biomar

111 investigated the hypothesis that epigenetic, transcriptomic, and cellular adaptations may occur in th

112 of which have publically available genomic, transcriptomic, and drug-screening data.

113 Using integrative cistromic, epigenomic, transcriptomic, and interactomic analyses, we reveal a l

114 ted based on pharmacologic, pharmacogenomic, transcriptomic, and phenotypic data related to drug resp

115 ypothesis, we used a combination of genetic, transcriptomic, and proteomic approaches to define expor

116 We performed genomic, epigenomic, transcriptomic, and proteomic characterizations of uteri

117 Here, we exploit histological, transcriptomic, and tomographic methods to investigate t

118 essential in the advancement of proteomics, transcriptomics, and genomics science.

119 Using a comparative transcriptomic approach, we identify ZNF521/Zfp521 as a

120 CI9831 based on integrated metabolomics and transcriptomics approach.

121 ge commitment, using an unbiased single-cell transcriptomics approach.

122 Targeted transcriptomic approaches in vitro in endothelial cells

123 e a combination of genetic, metabolomic, and transcriptomic approaches to explore the potential for m

124 (ChIP-seq), protein-binding microarrays, and transcriptomic approaches.

125 Recent advances in single-cell transcriptomics are ideally placed to unravel intratumor

126 hermore, implicate mRNA modification and epi-transcriptomics as novel regulators of memory formation.

127 ificant differences in sputum proteomics and transcriptomics between the clusters.

128 We developed an in vitro transcriptomic biomarker-based approach that provides bi

129 rent research has shown that the genomic and transcriptomic changes are present in DCIS before the em

130 The transcriptomic changes caused by cAMP occurred in concer

131 Transcriptomic changes in 3 pustular skin disorders, GPP

132 ivity could explain a substantial portion of transcriptomic changes in AD.

133 We aimed to identify Pb-induced transcriptomic changes in NSCs and to link these changes

134 to high concentrations of cisplatin revealed transcriptomic changes in potential key drivers of drug

135 We show that RXR deficiency leads to transcriptomic changes in the lung myeloid compartment c

136 These transcriptomic changes orchestrate cardiac architecture,

137 To identify transcriptomic changes that occur in the crop Brassica r

138 prehensive neuropathological, molecular, and transcriptomic characterization of hippocampus and two r

139 , sexual and sporozoite stages, along with a transcriptomic comparison of the mRNAs that are affected

140 rate the existence of specific, reproducible transcriptomic components in blood that vary with degree

141 AG1 in the testis using X-gal staining; (ii) transcriptomic consequences of PLAG1 deficiency in knock

142 more, this study also highlights the overall transcriptomic control of the plant defense processes oc

143 In total, the results of comparative transcriptomics correctly predicted a 2AA-dependent moti

144 Meta-analysis of published transcriptomic data allowed discrimination between gener

145 ers of FCM algorithm for human cell-specific transcriptomic data and identify robust gene-sets along

146 across human brain development, using unique transcriptomic data from Allen Human Brain and BrainSpan

147 ation of differential expression analysis of transcriptomic data from human tissue.

148 Through comparison of transcriptomic data from the cellular model with laser-c

149 Clustering single-cell transcriptomic data identified 41 distinct populations o

150 r over a decade and, with a critical mass of transcriptomic data in the oncology arena having been re

151 apply our pipeline to derive gene-sets from transcriptomic data measuring response of monocyte deriv

152 In particular, with the fast accumulation of transcriptomic data of non-model species and metagenomic

153 In an independent transcriptomic data set derived from 703 primary melanom

154 n explains the poor reproducibility of these transcriptomic data sets.

155 utational method that integrates genomic and transcriptomic data to identify a set of patient-specifi

156 Transcriptomic data were conormalized into a single data

157 hods, through the integration of genomic and transcriptomic data, and FIC methods, by training cancer

158 a single cortical region for epigenetic and transcriptomic data, and the use of categorical measures

159 eference sequence, we re-analyse association transcriptomic data, yielding improved markers for reduc

160 qping that uses self-training HMM models and transcriptomic data.

161 range of considerations for the analysis of transcriptomic data.

162 f the GalNAc-Ts in colon cancer by analyzing transcriptomic data.

163 dynamics of differentiation from single cell transcriptomics data and to build predictive models of t

164 eomics data could be readily integrated with transcriptomics data in standard annotation tools.

165 ignatures to The Cancer Genome Atlas patient transcriptomics data of multiple cancer types and single

166 clust has great potential in the analysis of transcriptomics data to identify large-scale unknown eff

167 By mapping the transcriptomics data to KEGG pathways, we found expressi

168 Using 126 sets of proteomics and transcriptomics data, we identified 136 potential direct

169 statistical framework to analyze single-cell transcriptomics data, we infer the gene expression dynam

170 gulatory chromatin regions solely relying on transcriptomics data, which complements and improves the

171 creting cell in liver, and queried against a transcriptomic database that quantifies changes in gene

172 identify putative hidden orthologs in large transcriptomic databases by transitive homology.

173 overy of novel biological processes from the transcriptomic datasets.

174 ave been proposed to identify gene-sets from transcriptomics datasets deposited in public domain.

175 ion signatures across multiple public access transcriptomics datasets of human asthma, followed by te

176 sing both synthetic and real (cancer-related transcriptomics) datasets.

177 nce) are downregulated, and microarray-based transcriptomics demonstrating that indole decreases the

178 Here we show transcriptomic differences in synovial fibroblasts from

179 rovides a framework that unifies genomic and transcriptomic dimensions for complex tumours.

180 In this study, we monitored the transcriptomic divergence of the maize (Zea mays) inbred

181 e polyadenylation (APA) as an engine driving transcriptomic diversity has stimulated the development

182 covery of function, associated pathology and transcriptomic dysregulation even after substantial moto

183 The integration of information from the host transcriptomic, epigenetic and virus response also has t

184 unctional genomics approaches that integrate transcriptomic, epigenetic, and endophenotype traits wit

185 y 14% (from 3612 to 4113), compared to using transcriptomics evidence alone.

186 Models recapitulate many of the genetic and transcriptomic features of the donors, but defined less

187 nique multidimensional framework integrating transcriptomic, genomic and/or epigenomic profiles for a

188 Transcriptomics has been defined by repeated technologic

189 suitability of these methods for single-cell transcriptomics has not been assessed.

190 larity and phylogenetic relatedness and that transcriptomics has the capacity to greatly enhance ecol

191 range of structural changes and has altered transcriptomic, hemodynamic, and physiologic behavior at

192 Using reporter gene fusions and transcriptomics, here we report that DnrF selectively re

193 However, global transcriptomics highlight differences between TPH cells

194 These findings establish that neuronal transcriptomic identity corresponds with anatomical and

195 Global transcriptomic imbalance is a ubiquitous feature associa

196 Here a comprehensive comparative transcriptomics interrogation of gene expression among f

197 ution imaging, microbiome, metabolomics, and transcriptomics into future research efforts; and build

198 sults demonstrate the utility of integrating transcriptomics into the study of human genetic disease

199 Single-cell transcriptomics is becoming an important component of th

200 Applied to immunomonitoring, transcriptomics is starting to unravel diagnostic and pr

201 tion repair by cementum at the proteomic and transcriptomic levels.

202 al information efficiently in time-series of transcriptomics measurements; and (ii) genes overlapping

203 rkholderia thailandensis E264 using genetic, transcriptomic, metabolomic, and chemical approaches.

204 Here, we integrate blood transcriptomic, metabolomic, and genomic profiles from t

205 s in molecular profiling experiments such as transcriptomics, metabolomics and proteomics studies.

206 Here, we review the requirements for spatial transcriptomic methods toward these goals, consider the

207 4 tissues samples per group was employed in transcriptomic microarray analysis.

208 First, we search for transcriptomic modules with genes that are differentiall

209 his study provides new insights into the TSC transcriptomic network along with the identification of

210 ans, and determined if abnormalities in NRG3 transcriptomics occur in mood disorders and are genetica

211 lution quantitative imaging with single-cell transcriptomics of wild-type and Fgf receptor (Fgfr) mut

212 Transcriptomics offers a new approach to understanding t

213 sality to genetic variants associated with a transcriptomic or phenotypic trait presents a far greate

214 ong air pollution exposure, methylation, and transcriptomic patterns.

215 erentiated monocytes presented with profound transcriptomic, phenotypic, and functional differences.

216 ended our analysis to two studies containing transcriptomics, phosphoproteomics and metabolomics meas

217 lishment of the first full-scale Associative Transcriptomics platform for B. napus enables rapid prog

218 different development stages have their own transcriptomic profile according to the developmental ev

219 ble primary cholangiocytes in terms of their transcriptomic profile and functional properties.

220 However, little is known about the transcriptomic profile of NAT, how it is influenced by t

221 Pathway analysis of the transcriptomic profile of the injured nociceptors reveal

222 OH derivative, 2,5-DCB was shown to induce a transcriptomic profile similar to plant safeners, which

223 Circulating transcriptomic profiles are a powerful method to risk-st

224 with differences in cellular metabolism and transcriptomic profiles at birth.

225 how here that wild-type leaves have distinct transcriptomic profiles in center and marginal regions.

226 Once purified, the transcriptomic profiles of iPSC-derived DaNs appear rema

227 Here we map detailed transcriptomic profiles of male and female Schistosoma j

228 To identify distinct transcriptomic profiles of multiple cell populations wit

229 Transcriptomic profiles were generated by microarray ana

230 rug sensitivity as compared with genomic and transcriptomic profiles.

231 Here, we demonstrate through metabolomic and transcriptomic profiling marked suppression of glucocort

232 Using transcriptomic profiling of airway tissues, we sought to

233 s cellular gene expression and suggests that transcriptomic profiling of bulk skin may inadequately c

234 RNA-Seq is a powerful tool in transcriptomic profiling of cells and tissues.

235 In this study, we performed genome-wide transcriptomic profiling of mouse whole blood during blo

236 planted at 5 h (n = 6) and 24 h (n = 6), and transcriptomic profiling of the distal (ischemia-affecte

237 We performed transcriptomic profiling of tumor-infiltrating CTLs from

238 Transcriptomic profiling revealed high kisspeptin 1 (KIS

239 While recent transcriptomic profiling studies have helped define huma

240 genome-wide RNAi-synthetic lethal screen and transcriptomic profiling to identify genes enabling BLM-

241 reatment (after 2 cycles) for epigenomic and transcriptomic profiling using the Infinium HumanMethyla

242 Through transcriptomic profiling, we determined that low express

243 Using transcriptomic profiling, we discovered that the gene ex

244 ntified potential disease biomarkers through transcriptomic profiling.

245 This comparative whole-blood transcriptomics profiling of virulent and avirulent mala

246 t, IFN-gamma aberrantly induced a type I IFN transcriptomic program.

247 y the overlap between the SPOP(MT) and c-MYC transcriptomic programmes, was also associated with infe

248 Each cell line has genomic, transcriptomic, proteomic and cellular phenotyping data.

249 Here we integrate the outcome of transcriptomic, proteomic, and metabolomics analyses of

250 Here, we present an integrated transcriptomic, proteomic, and phosphoproteomic analysis

251 tLBSgenes using integrated genetic, genomic, transcriptomic, proteomic, network and functional inform

252 backgrounds, and multiple omics approaches (transcriptomics, proteomics and high throughput sequenci

253 edge, we performed comparative metabolomics, transcriptomics, proteomics, and (13)C-labeling of type

254 oughput technologies, including epigenomics, transcriptomics, proteomics, and metabolomics, is now ma

255 ATGC transcriptomics provides access to non-expert computer u

256 This comprehensive TK transcriptomic reference, and large set of SNPs includin

257 factor is at the top of the hierarchy of the transcriptomic regulation.

258 is limited by the quality of the genomic and transcriptomic resources available.

259 The transcriptomic response in RBD was independently compare

260 The transcriptomic response of A. thaliana to 2,5-dichlorobi

261 a stress and a rhythmic cue we investigated transcriptomic response of maize seedlings to low temper

262 We demonstrate that similarity in the transcriptomic response of species to drought is a signi

263 te individual and temporal variations in the transcriptomic response to sepsis due to fecal peritonit

264 The core SPOP(MT);MYC(High) transcriptomic response, defined by the overlap between

265 ell-type preferential activities, we tracked transcriptomic responses to two different treatments tha

266 The rank order of biochemical and transcriptomic responses was xDP > xFP > waDP (e.g., ERO

267 Mouse transcriptomics revealed that PO differentially regulate

268 Transcriptomics revealed the dysregulated expression of

269 ere, we report the epigenomic (ATAC-seq) and transcriptomic (RNA-seq) landscapes of alphaTC1 and beta

270 Using transcriptomic samples for 1047 breast tumors and 110 he

271 Metabolomic and transcriptomic screenings were used to identify metaboli

272 Transcriptomic sequencing confirmed the effect of hDBR1

273 Transcriptomic sequencing uncovered 1000 sites of C-to-U

274 Cross-species transcriptomics showed that both models are closely rela

275 A transcriptomic signature for later development of MODS w

276 The transcriptomic signature of mitochondria-rich cells (MRC

277 Early ribosome-rich cells (RRCs) have a transcriptomic signature suggesting expression and secre

278 We identified several transcriptomic signatures associated with the virulent i

279 t facilitates the translation of genomic and transcriptomic signatures to molecular mechanisms underl

280 d significantly with multiple independent AD transcriptomic signatures, indicating that RIPK1 activit

281 Transcriptomic studies and immunohistochemistry analysis

282 for insect development, whereas comparative transcriptomic studies of embryonic stages of hemimetabo

283 Transcriptomic studies revealed the presence of the inte

284 is method could also have high potential for transcriptomics studies in other organisms.

285 Co-expression networks estimated from single transcriptomic study is often unstable and not generaliz

286 LA detection from single transcriptomic study, however, is often unstable and not

287 Here, we present a metagenomic and -transcriptomic survey, with subsequent analyses targetin

288 The development of high throughput transcriptomic techniques, such as RNA-seq, provides an

289 rovide an overview of the different types of transcriptomic technologies as well as the gene expressi

290 Transcriptomics technologies are the techniques used to

291 methods facilitate single-cell genomics and transcriptomics, the characterization of metabolites and

292 used shotgun proteomics, OxICAT and RNA-seq transcriptomics to analyse protein S-mycothiolation, rev

293 Here, we use single-cell transcriptomics to identify the molecular signature of N

294 erein, we used different omics (genomics and transcriptomics) to identify novel biomarkers of thiazid

295 ion and ripening allowed us to determine the transcriptomic traits common to all varieties, thus defi

296 on of variants associated with phenotypic or transcriptomic traits in the human brain are located wit

297 We found that SRS is the major predictor of transcriptomic variation; a small number of genes (n = 2

298 oss Selaginella moellendorffii Using de novo transcriptomics, we confirmed expression of five transcr

299 veloped a web-based application, called ATGC transcriptomics, with a flexible and adaptable interface

300 ptive immune system, using CD4+ T-lymphocyte transcriptomics, would identify gene expression correlat