ライフサイエンスコーパス: transcriptome

1 acid (OA-NO2) on the human endothelial cell transcriptome.

2 prion form caused genome-wide changes in the transcriptome.

3 of healthy muscles and normalizes the muscle transcriptome.

4 gated autotetraploid and their impact on the transcriptome.

5 crovesicles most closely reflecting cellular transcriptome.

6 specific subset of the processed chloroplast transcriptome.

7 f-organized to develop community genomes and transcriptomes.

8 eptibility genes, biomarkers, proteomes, and transcriptomes.

9 identified through an analysis of maize leaf transcriptomes.

10 cost alternative to sequencing for profiling transcriptomes.

11 correlated these marks with their associated transcriptomes.

12 How the maternal transcriptome acquires the appropriate content and dosag

13 By analyzing genomes and transcriptomes across 37 deuterostome taxa, we shed ligh

14 lly, mutation at lysine 311 affects cellular transcriptome altering the expression of genes involved

15 Cell biologic and transcriptome analyses implicate dysregulation of ciliog

16 Using co-culture experiments and mouse transcriptome analyses in syngeneic mouse models, we pro

17 Genome-wide transcriptome analyses of conditional heart-specific p53

18 Transcriptome analyses of DFU tissue showed induction of

19 Transcriptome analyses show that expression of extracell

20 Transcriptome analyses showed that the protective effect

21 transcription polymerase chain reaction and transcriptome analyses suggested nonsense mRNA decay as

22 thology and multigene family classification, transcriptome analyses, phylogenetic analyses, and patho

23 with pathogenic ncRNAs, using comprehensive transcriptome analyses.

24 We collected colons from mice and performed transcriptome analyses.

25 YP450 genes most abundantly expressed in the transcriptome analysis across different castes, ages, ta

26 tive trait using whole genome-sequencing and transcriptome analysis allows to discover the functional

27 Transcriptome analysis and phenotypic characterization d

28 Deep quantitative proteomics combined with transcriptome analysis identified miR-28 targets involve

29 Diurnal transcriptome analysis in separated alpha and beta cells

30 Coupling TRAPeS with transcriptome analysis of CD8+ T cells specific for a si

31 this study, we used comparative genomics and transcriptome analysis of citrate-producing strains-name

32 METHODS AND Based on a transcriptome analysis of endothelial cells after miR-10

33 Global transcriptome analysis of L254F-OGT lymphoblastoids comp

34 Transcriptome analysis of over 40000 transcripts of gene

35 Transcriptome analysis of premorbid genetic risk identif

36 eous landscape of genetic perturbations, and transcriptome analysis of transformed T cells further hi

37 Transcriptome analysis of treated and untreated C. albic

38 Transcriptome analysis of trigeminal ganglia from latent

39 Although genome-wide transcriptome analysis on diseased tissues has greatly a

40 Transcriptome analysis revealed impaired expression and

41 Transcriptome analysis revealed TGF-beta1-dependent chan

42 Transcriptome analysis revealed that salt stress-induced

43 Transcriptome analysis revealed that various phytohormon

44 Genome-wide transcriptome analysis reveals that lipid biosynthetic e

45 Transcriptome analysis shows diminished RNA levels of nu

46 Furthermore, transcriptome analysis using IL-17A(hCD2) reporter mice

47 ons which could open up new opportunities in transcriptome analysis, virology, and other fields.

48 and candidate drug screening, combined with transcriptome analysis, we discover that nicotinamide (N

49 led to hypomorphic Notch signaling, based on transcriptome analysis.

50 CoV infection using immunological assays and transcriptome analysis.

51 -density consensus linkage map based on new, transcriptome-anchored markers; (ii) map four important

52 s were annotated to V. v. vinifera reference transcriptome and 11,084 were annotated against V. v. vi

53 , molecular genetics, electrophysiology, and transcriptome and cell signaling changes.

54 coupled Ca(2+) signalling network integrates transcriptome and cellular metabolism with shoot-root co

55 HODS AND We profiled the temporal changes in transcriptome and chromatin accessibility at genome-wide

56 parasite Trypanosoma cruzi, as evidenced by transcriptome and cytometry analyses in mixed bone-marro

57 Here we present the CD14+ blood monocyte transcriptome and epigenome signatures associated with h

58 , the authors examine CD14+ blood monocyte's transcriptome and epigenome signatures to find different

59 METHODS AND We performed whole blood transcriptome and flow cytometry analyses on a total of

60 the status of several DNA repair pathways by transcriptome and genome analysis.

61 Transcriptome and genome-wide GABP-binding site analyses

62 In the last decade, several large-scale transcriptome and interactome studies were conducted to

63 edes cognitive ability by altering microglia transcriptome and limiting Mef2C, a microglia 'off' sign

64 Integrated transcriptome and m(6)A-seq analyses revealed altered ex

65 HML-2 expression, we characterized the HML-2 transcriptome and means of activation in an in vitro mod

66 elevant dose of cryotherapy would impact the transcriptome and metabolome of skeletal muscle.

67 Temporal analysis of the transcriptome and methylome from germination to young se

68 Integrated analysis of the host transcriptome and microbial signatures demonstrated an a

69 r whole genome level profiling of methylome, transcriptome and miRNA using Next Generation Sequencing

70 ic conditions revealed 82% similarity in the transcriptome and no differences in the epigenome up to

71 We integrated binding data with transcriptome and phased WGS data to investigate allelic

72 Transcriptome and protein analyses in arhinia probands a

73 Complementing genome sequence with deep transcriptome and proteome data could enable more accura

74 Transcriptome and proteome sequencing reveal that recrui

75 rol DNA repair as well as alterations of the transcriptome and proteome, enabling stress recovery.

76 roduction with massive reorganization of the transcriptome and respiratory metabolism.

77 ication rate shifts using 31 newly generated transcriptomes and 88 other datasets covering 70% of eud

78 e we report a comprehensive investigation of transcriptomes and base-resolution methylomes for early

79 Next, we queried the transcriptomes and inferred dynamic Bayesian networks of

80 In this study, we compared the transcriptomes and proteomes of primary mouse B cells fr

81 nalyses of mitochondrial proteomes, cellular transcriptomes and targeted metabolomics of five knockou

82 lly representative dataset of dinoflagellate transcriptomes and used this to infer a strongly support

83 We observed the same patterns in human transcriptomes and we further show that AS rates correla

84 blood cancers to 63 drugs alongside genome, transcriptome, and DNA methylome analysis to understand

85 ood; a lack of correlation of the methylome, transcriptome, and proteome; and a complex regulatory fe

86 cyclics have a largely bloodstream-form type transcriptome, and thus are programmed to translate a bl

87 nd the resulting relative changes to the MII transcriptome are integral to oocyte quality.

88 s expanded our view on mammalian genomes and transcriptomes, as well as their organization and regula

89 ion especially in instances of lower-quality transcriptome assemblies.

90 of reference genome base and gene coverage, transcriptome assembly base coverage, number of chimeras

91 ncing and produced a comprehensive annotated transcriptome assembly for L. granatensis.

92 De novo transcriptome assembly is an important technique for und

93 Our results show that the retinal transcriptome at advanced stages of RP is very similar t

94 In this study, we obtained the time-course transcriptomes at five time points in four weeks from ma

95 The high-resolution transcriptome atlas allowed us to distinguish between CA

96 y assembly of C. bursa-pastoris genome and a transcriptome atlas covering a broad sample of organs an

97 Transcriptome-based drug discovery has identified new tr

98 This blood transcriptome-based model enables assessment of circadia

99 his study we compared the results from three transcriptome-based platforms (Nanostring Elements, Agen

100 Combining transcriptome, bioinformatic and mutagenesis analyses, w

101 epsi affected the expression of 30.4% of the transcriptome but showed little selectivity for gene upr

102 by TUT4 and TUT7 sculpts the mouse maternal transcriptome by eliminating transcripts during oocyte g

103 is representative of the healthy human brain transcriptome by using data from the Allen Brain Atlas.

104 edly increases complexity of the cancer cell transcriptomes, cancer-specific recoding RNA editing eve

105 Here, we used RNA-seq to identify transcriptome changes from late embryonic to adult mouse

106 4-36), and related the functional results to transcriptome changes in PD effluent cells.

107 Histological findings and transcriptome changes indicated modulation of liver macr

108 -starved yeast cells resulted in substantial transcriptome changes.

109 Altogether our work provides the first transcriptome comparison between cork oak and holm oak o

110 wood-forming tissues of Populus tremula The transcriptome comprised 28,294 expressed, annotated gene

111 platform, we performed a network analysis of transcriptome data and presented a c-Myc subnetwork enri

112 In this study, we combine de novo transcriptome data and sequenced genomes from an economi

113 The transcriptome data confirmed the relationship between Sp

114 We analyzed transcriptome data from 242 patients with hepatocellular

115 Reverse pathway analysis of whole-transcriptome data from CDCexo-primed Mvarphi implicated

116 Here, the authors generate transcriptome data from human blood monocytes stimulated

117 ociated with S-HSCR by combining genetic and transcriptome data from patient blood- and iPSC-derived

118 e availability of whole genome, proteome and transcriptome data has the potential to advance rational

119 Further, transcriptome data pool presented 1683 putative transcri

120 and benefits of adding sequenced genomes to transcriptome data sets.

121 As the significant amount of genome/transcriptome data such as, Encyclopedia of DNA Elements

122 es, for the first time, the full spectrum of transcriptome data to be obtained from minute patient-de

123 ep sequencing, genetic linkage analysis, and transcriptome data were used to produce and annotate a h

124 ers Y genes from male and female genome, and transcriptome data.

125 n genes, which may be useful in interpreting transcriptome data.

126 mpared to neurons using, as study materials, transcriptome databases of astrocyte exposed to well-kno

127 We established and analyzed transcriptome datasets from leaf and fruit and identifie

128 comparative analysis of publically available transcriptomes demonstrated that epithelial barrier dysf

129 The transcriptome derived from bronchial biopsies and epithe

130 h loss of pluripotency and governance of the transcriptome during embryogenesis and subsequent develo

131 erall, RNA sequencing analysis revealed that transcriptomes during early cardiomyocyte differentiatio

132 Analysis of brain transcriptomes during the transition reveals that corazo

133 ues (2) now report comprehensive analyses of transcriptome dynamics during this process that reveal f

134 Here we define three key epochs in the transcriptome dynamics of human retina from fetal day (D

135 isconnect between the epidermal proteome and transcriptome, emphasizing the utility of global proteom

136 escribe an aberrant gastrointestinal-lineage transcriptome expressed in approximately 5% of primary p

137 dy reports profiles of whitebark pine needle transcriptomes, following methyl jasmonate (MeJA) treatm

138 ned by using RNA-seq to search the H. pylori transcriptome for RNAs whose 5'-phosphorylation state an

139 Here, we report single-cell transcriptomes for 638 cells from nondiabetic (ND) and T

140 poral and spatial compositions of lipids and transcriptomes for two oil yielding organs mesocarp and

141 y analysing more than 18,000 single parasite transcriptomes from a conditional AP2-G knockdown line a

142 o examine the age and sequence divergence of transcriptomes from these organs and how they adapted ov

143 We harmonized 1822 pure human cell type transcriptomes from various sources and employed a curve

144 Whole-transcriptome gene expression analyses on WNT-dependent

145 Specifically, the transcriptomes generated from plant organs are the refle

146 With comparative analysis to a reference-transcriptome-guided approach on gene ontology and tox-p

147 Recent studies of the human transcriptome have revealed their importance in the deve

148 While in these tissues, they acquire a transcriptome identical to embryonically derived tissue-

149 Recent genome-wide analyses of human mRNA transcriptome identified thousands of putative intramole

150 Analyses of ND single-cell transcriptomes identified distinct alpha, beta, delta, a

151 Mapping of the sequenced arms to a reference transcriptome identifies the exact locations of duplexes

152 These data broadly extend the annotated transcriptome, identify 40,000 novel 3' termini, and r

153 otato genome contributes to a highly dynamic transcriptome impacted by allele preferential and copy n

154 types defined by physiology, morphology, and transcriptome in addition to various types of glial, end

155 We compared the CD4(+) T-cell transcriptome in obese children with asthma with that in

156 dentify and characterize the cardiac lincRNA transcriptome in the experimentally accessible zebrafish

157 gram called SpliceHunter to characterize the transcriptome in the meiosis of fission yeast.

158 Correlation of transcriptomes in arrested cells with a flux balance mod

159 s aging organisms, here we compare circadian transcriptomes in heads of young and old Drosophila mela

160 we have characterized nuclear and whole cell transcriptomes in mouse single neurons and provided a no

161 Spliced Isoforms, outperform other available transcriptomes in RNA-seq analysis.

162 h concordance between nuclear and whole cell transcriptomes in the expression of cell type and metabo

163 pping, and profiling of the complete nuclear transcriptome, including a ribosomal RNA degradation pro

164 ered multiple functional modules of the mTEC transcriptome, including tissue-restricted antigen expre

165 The pancreatic beta-cell transcriptome is highly sensitive to external signals su

166 h higher-order regulatory modules across the transcriptome is lacking.

167 epigenetic roles of Tet2 in maintaining the transcriptome landscape related to neurogenesis.

168 o probe the human heat shock response at the transcriptome level.

169 To test this, we compared transcriptome-level responses of disparate Pooideae to s

170 sights into the molecular mechanisms and the transcriptome map of ID.

171 rmore, the significant perturbations in PBMC transcriptome may help determine the beneficial effects

172 cificity endonuclease RNase E in shaping the transcriptome of a bacterial pathogen by functioning as

173 Infection caused temporal alterations in the transcriptome of both the cerebellum and spinal cord tha

174 We sequenced the transcriptome of brainstem interneurons in the specializ

175 1-type enzyme, designated CpuDGAT1, from the transcriptome of C. avigera var pulcherrima developing s

176 embryos to analyze the spatial and temporal transcriptome of distinct ectodermal domains in the cour

177 how here that NOSTRIN affects the functional transcriptome of endothelial cells by down-regulating se

178 Characterizing the transcriptome of individual cells is fundamental to unde

179 Comparison with the transcriptome of L3 PCs from the same subjects revealed

180 ne also produces dramatic alterations in the transcriptome of NAc MSNs, but how such alterations infl

181 matin reprogramming in the germline, and the transcriptome of PGCs lacking PRC2 resembles that of nos

182 This study used RNA-seq to investigate the transcriptome of primary monolayer KC cultures grown fro

183 In order to define the transcriptome of small groups of cells from a single ger

184 ne a pneumococcal secretome and analyzed the transcriptome of the clinically important PMEN1 lineage

185 e combined them with the temporally resolved transcriptome of the preprogenitor phase and of single A

186 atically compared the proteomic and microRNA transcriptome of the slow and fast muscles of Chinese pe

187 We sequenced root transcriptome of three tetraploid wheat varieties with v

188 With this goal, we analyzed the retinal transcriptome of two non-allelic forms of RP in dogs, rc

189 omprehensive profiling of exomes and matched transcriptomes of >200 KrasG12D-initiated GEMM tumors fr

190 The transcriptomes of 159 human placenta tissues were profil

191 ed RNA (RNA-seq) sequencing and analyzed the transcriptomes of 68 pediatric patients with well-charac

192 (PCR), RNA sequencing, and comparison of the transcriptomes of affected and unaffected family members

193 By comparing the transcriptomes of immature interneurons to those of more

194 By profiling the transcriptomes of individual cells, single-cell RNA sequ

195 The transcriptomes of multiple cycling ISC populations close

196 is capable of identifying subclones from the transcriptomes of neoplastic cells collected from patien

197 transcription as well as publicly available transcriptomes of neuronal cultures.

198 ve cuticle-associated genes, we analyzed the transcriptomes of peels from ripe and overripe mango fru

199 ere used to compare the skin and tuber-flesh transcriptomes of potato, to identify genes that contrib

200 We purified and compared the transcriptomes of pre-HSCs, HSCs matured ex vivo, and fe

201 MS: We analyzed DNA methylation patterns and transcriptomes of primary intestinal epithelial cells (I

202 resentation of similar groups of DEGs in the transcriptomes of reproductive and immune responses of t

203 Transcriptomes of sorted tonsillar ILC3s were assessed b

204 ple, high-throughput methods for mapping the transcriptomes of subcellular compartments.

205 We achieved 10 transcriptomes of T2 and T8 that were based on dose and

206 Comparing the transcriptomes of tomato infected with X. gardneri vs. X

207 sing thousands of individual cells for whole-transcriptome or genomic analysis in a massively paralle

208 for a better understanding of meningococcal transcriptome organization and riboregulation with impli

209 We report the first phocid blubber transcriptome produced by RNAseq, containing over 140,00

210 The performed comparison of the whole transcriptome profile in isolated fibres and other porti

211 microglia will augment their neuroprotective transcriptome profile, while the antagonistic stimulatio

212 xin, restored the wild-type root glycome and transcriptome profiles in rhd6, modulating the expressio

213 lls display remarkably distinct temporal and transcriptome profiles in the brain as compared to the p

214 of zygote development and generated RNA-seq transcriptome profiles of gametes, zygotes, and apical a

215 blem in studying gene regulation and diploid transcriptome profiles, with two key challenges: (i) hap

216 aracterization of cell types based on global transcriptome profiles.

217 recent developments in islet (epi)genome and transcriptome profiling (particularly single cell analys

218 rder, and the messenger RNA was subjected to transcriptome profiling by microarray.

219 by stratifying cell subpopulations based on transcriptome profiling of 144 single LNCaP prostate can

220 Transcriptome profiling of E2F-2-null, mature erythrobla

221 Interestingly, transcriptome profiling of K14CreERT;DLX3(fl/fl) epiderm

222 Fs ORA47, RAP2.6L, MYB59, and ANAC055, using transcriptome profiling of overexpressors and mutants, p

223 Here we develop a new method for total transcriptome profiling of plasma-derived EVs by next ge

224 function during embryogenesis, we performed transcriptome profiling on whole mouse embryos.

225 Metabolite and transcriptome profiling over a developmental time course

226 Comparing our transcriptome profiling results to an earlier ribosome f

227 Genome-wide occupancy mapping and transcriptome profiling reveal that nuclear TAZ/YAP prom

228 Here, through morphology analysis, transcriptome profiling, functional perturbations and ma

229 four decades have repeatedly revolutionized transcriptome profiling.

230 The high-quality genome and transcriptome provide insight into the green algal linea

231 These established transcriptomes provide a reference catalog for further d

232 rated that methyl jasmonate (MeJA)-triggered transcriptome re-programming substantially overlapped wi

233 Through de novo transcriptome reconstruction, we establish dynamic expre

234 nd RNA sequencing are widely used to profile transcriptome remodeling during myocardial ischemia.

235 y have been established as key regulators of transcriptome reprogramming that define cell function an

236 We designate this state as "preborder"; its transcriptome resembles embryonic stem cells.

237 y mRNA abundance rapidly decreases promoting transcriptome resetting.

238 nd 3367 and 5270 genes in the leaf and tuber transcriptome, respectively.

239 y) suggested that approximately 15.5% of the transcriptome response was influenced by reference site

240 Mining of the golden larch root transcriptome revealed a large TPS family, including the

241 Pathway analysis of the LCL transcriptome revealed, among others, over-expression of

242 Systematic comparisons of the transcriptomes revealed 32 T2 genes and 25 T8 genes that

243 Mining of leaf- and trichome-specific transcriptomes revealed five diTPSs, two of which are cl

244 ysis of purified HCs extends the existing HC transcriptome, revealing previously undetected gene prod

245 llowing nuclear RNA-seq of neutrophil active transcriptomes reveals a significant upregulation in bot

246 /-) mutant mouse embryos and performed whole transcriptome RNA sequencing analyses.

247 e HPV-associated changes in the keratinocyte transcriptome, RNAs isolated from undifferentiated and d

248 , environment and sex interact to affect the transcriptome's response to a stressor.Animals' response

249 We used species-specific transcriptome separation and ligand-receptor interaction

250 Whole-transcriptome sequence analyses of liver tissues from mi

251 Furthermore, analysis of transcriptome sequence data from the starfish Asterias r

252 coiridoid biosynthesis pathway, we generated transcriptome sequences from the root, leaf, stem, and f

253 of protein data with existing matched whole-transcriptome sequencing (RNA-seq) from the BrainSpan pr

254 case application we segment a time-series of transcriptome sequencing data from budding yeast, in hig

255 Large-scale transcriptome sequencing efforts have vastly expanded th

256 We believe we report the first transcriptome sequencing of the postmortem human dorsal

257 ing viral infection to herbicide resistance, transcriptome sequencing showed a high incidence of infe

258 the first multi-sample whole-exome and whole-transcriptome sequencing study of NF1-associated PN.

259 This study uses whole transcriptome sequencing to identify novel molecular mar

260 uveniles were also found to have a male-like transcriptome shortly after exposure to heat.

261 A transcriptome signature of activated hepatic stellate ce

262 ing identified meningeal cells with distinct transcriptome signatures characteristic of (1) neurogeni

263 Transcriptome signatures from these two types of CTL res

264 For the identification of transcriptome signatures that can distinguish between tr

265 RNA-based regulation in meningococci, their transcriptome structure and output of regulatory small R

266 Previous transcriptome studies of the human endometrium have reve

267 ate (FDR) adjustment which is widely used in transcriptome studies.

268 t the concept of NFI-A as a master molecular transcriptome switch that controls myeloid cell differen

269 introduce bias in either the virus genome or transcriptome, the findings indicate the need for authen

270 e the techniques used to study an organism's transcriptome, the sum of all of its RNA transcripts.

271 Together with analysis of single-cell transcriptomes, these findings have enabled a deeper and

272 gene network structure with the ASD cortical transcriptome throughout life and has downstream impact

273 l control culminates in reprogramming of the transcriptome to facilitate parasite transition towards

274 ween VMW and VMG, and further compared their transcriptomes to understand the consequences related to

275 We found that lifespan transcriptome trajectories describe a calendar of gene r

276 Moreover, the transcriptome under high light exposure revealed candida

277 onal CREB signatures were extracted from the transcriptomes using Gene Ontology, adult-brain gene lis

278 To understand this, we investigated transcriptomes using RNA-seq and amino acid levels with

279 we report the first in-depth survey of heart transcriptome variation using RNA-sequencing in 97 patie

280 ain; using RNA sequencing to investigate the transcriptome, we found metallothionein (MT, particularl

281 summary GWAS data to perform 30 multi-tissue transcriptome-wide association studies (TWASs).

282 lso conducted genome-wide association study, transcriptome-wide association studies and metabolome-wi

283 Analysis of the transcriptome-wide binding profile of non-phosphorylatab

284 reprogramming gene expression, we identified transcriptome-wide binding sites for RNA polymerase II a

285 cted, we performed comprehensive analysis of transcriptome-wide changes to splicing and gene expressi

286 Transcriptome-wide differential gene expression among ob

287 We apply ARC-seq to directly assess transcriptome-wide epimutations resulting from RNA polym

288 normal and PE human placentae to interrogate transcriptome-wide gene expression and alternative polya

289 Using a transcriptome-wide map of m(6)Am we find that m(6)Am-ini

290 nk miRNA identities with downstream targets, transcriptome-wide mRNA 3' UTR interaction sites were ex

291 ve and -negative cell lines was subjected to transcriptome-wide RNA sequencing analysis.

292 g, Tradict may therefore enable simultaneous transcriptome-wide screening and mechanistic investigati

293 Finally, we show that there are transcriptome-wide similarities between the opossum atta

294 modeling extends the scope and potential of transcriptome-wide structure probing experiments.

295 Recent transcriptome-wide surveys have uncovered evidence for p

296 mpact of DHTS on HuR binding to target mRNAs transcriptome-wide.

297 enes could lead to widespread effects on the transcriptome with an aging signature.

298 Here we compare the cork oak outer bark transcriptome with that of holm oak.

299 By integrating single-cell transcriptomes with bulk expression profiles for hundred

300 ecimens demonstrated the presence of the CPV transcriptome, with read depths ranging from 2.2X - 12,3