ライフサイエンスコーパス: transcriptome

1 rt the dynamic nature of G4 formation in the transcriptome.

2 ges for discovery of somatic indels in tumor transcriptome.

3 in the regulation of core genes of AF and NP transcriptome.

4 Moreover, secukinumab altered the skin transcriptome.

5 ng mRNAs, which constitute a minority of the transcriptome.

6 dysregulation across both the epigenome and transcriptome.

7 on and deletion editing events upon the kDNA transcriptome.

8 has the capacity to dynamically reshape the transcriptome.

9 riched in the upregulated G0 translatome and transcriptome.

10 in broadly maintaining the integrity of the transcriptome.

11 resulted in dysregulation of the hippocampal transcriptome.

12 NBCs, while unswMBCs display a transitional transcriptome.

13 h breast cancer subtype are defined by their transcriptomes.

14 th analysis of ABS events in 90 human tissue transcriptomes.

15 correlate the proteomes to the corresponding transcriptomes.

16 the endothelial translatome and single cell transcriptomes.

17 itional analysis of 305 non-angiosperm plant transcriptomes.

18 ant fraction of both the aberrant and normal transcriptomes.

19 y analysis identified dynamic changes in the transcriptome 3 d after injury that were largely resolve

20 In total, we profiled ~650,000 single-cell transcriptomes across ~5000 independent samples in one e

21 hymus and DM2 CCTG expansions induce similar transcriptome alterations in DM2 blood, which thus serve

22 PTEN deletion would impact the epigenome and transcriptome alterations remain unknown.

23 isoform abundance is critical for downstream transcriptome analyses and can lead to precise molecular

24 Transcriptome analyses and cell transformation assays fu

25 ogether, our functional and hormone-specific transcriptome analyses document the broad applicability

26 Transcriptome analyses indicate that diapause is an acti

27 We performed single-cell transcriptome analyses of 14,441 cells from embryonic da

28 We provide single-cell and bulk transcriptome analyses of CD49f(+) hiPSC-astrocytes and

29 Transcriptome analyses of postmortem mRNA from a tissue

30 Whole-transcriptome analyses show similarity to pre-gastrulati

31 Transcriptome analyses suggest that the Ly6C(lo) monocyt

32 Moreover, transcriptome analyses to compare gene expression patter

33 L. camara leaf (LCL) and root (LCR) de novo transcriptome analyses.

34 et beta-, alpha- and delta-cells followed by transcriptome analysis (RNA-seq) and immunohistology ide

35 Transcriptome analysis after biochemical inhibition of b

36 Using single-cell transcriptome analysis and antibody screening, we identi

37 Global transcriptome analysis and cell wall metabolite measurem

38 In this study, our transcriptome analysis and in situ hybridization assays

39 sequencing (PoKI-seq), combining single-cell transcriptome analysis and pooled knockin screening to m

40 While transcriptome analysis can provide valuable information,

41 The transcriptome analysis detected 4,508 differentially exp

42 Genome-wide transcriptome analysis determined by RNA-sequencing comb

43 By conducting a transcriptome analysis followed by ChIP-Seq coupled with

44 Transcriptome analysis further revealed that astrocyte-d

45 Our transcriptome analysis has shown that SHOC2 can modulate

46 Hepatic transcriptome analysis identified alterations in multipl

47 e that lack all of the TRPCs and performed a transcriptome analysis in eight tissues.

48 Transcriptome analysis indicated activation of lipid bio

49 Transcriptome analysis of Arabidopsis thaliana mutant pl

50 Single-cell transcriptome analysis of Hh-deficient mesoderm revealed

51 position was skewed towards myelopoiesis and transcriptome analysis of HSC/GMP cell populations revea

52 Although transcriptome analysis of human atrial fibroblasts revea

53 this interaction, we conducted a comparative transcriptome analysis of mouse PVEC vs. adult brain end

54 A transcriptome analysis of the neurons, performed at diff

55 Transcriptome analysis of TvWT-treated maize B73 reveale

56 Transcriptome analysis of wild-type and T357I-mutant cel

57 Here we couple digital pathology and transcriptome analysis on a large ovarian tumour cohort

58 Small (s)RNA transcriptome analysis revealed misregulation of several

59 In addition, transcriptome analysis revealed that hsdS allelic variat

60 EB potently inhibits apoptosis in VSMCs, and transcriptome analysis revealed that TFEB regulates apop

61 Comprehensive transcriptome analysis revealed that the loss of COL6 is

62 Transcriptome analysis revealed upregulation of 6,919 ge

63 Single cell transcriptome analysis revealed various IL-10 producing

64 A transcriptome analysis showed a change in tissue express

65 Transcriptome analysis showed that NPCs and neurons deri

66 dge, this is the first report of comparative transcriptome analysis under drought stress at two diffe

67 fferentially selected samples for integrated transcriptome analysis will lead to bias in the estimate

68 pe C57BL/6 mice was validated by comparative transcriptome analysis with retinal endothelial cells so

69 ular proliferation, signal transduction, and transcriptome analysis.

70 single cell monolayer, facilitating accurate transcriptome analysis.

71 TRM pools by lineage-tracing and single-cell transcriptome analysis.

72 CD163(+) BMRMs show a specific transcriptome and cytokine secretion pattern demonstrati

73 we produced and analysed whole-genome, whole-transcriptome and DNA methylation data for 208 pairs of

74 d explored the underlying mechanisms through transcriptome and functional studies.

75 with metabolite set enrichment coupled with transcriptome and gene set enrichment analysis and prote

76 Changes in the psoriasis transcriptome and genes induced by IL-17 in keratinocyte

77 Using transcriptome and genome data from 21 Symbiodiniaceae is

78 and EAC tissues and combined these data with transcriptome and genomic data to identify mechanisms th

79 Transcriptome and histological analysis of infected alve

80 Global transcriptome and Ingenuity Pathway Analysis of murine b

81 Transcriptome and metabolome analysis revealed changes i

82 Integrated analysis of the transcriptome and metabolome showed the used of alternat

83 asured the impact of cytoplasmic NOCT on the transcriptome and observed that it affects mRNA levels o

84 Transcriptome and proteome analyses showed that at restr

85 Transcriptome and proteome analysis of glomeruli from pa

86 ds to sex-specific changes in the microglial transcriptome and tau pathology.

87 ics vary for the same RNA element across the transcriptome and the molecular determinants of variabil

88 We examined the transcriptome and translatome of the mouse DRG with the

89 pathways was observed in the USP22-sensitive transcriptome and ubiquitylome using prostate cancer mod

90 ast organoids and in vivo placentas in their transcriptomes and ability to produce placental hormones

91 Publicly available transcriptomes and DNA methylomes of CD8(+) T cells from

92 Cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) ana

93 cortex to the medulla, which may alter their transcriptomes and provide cues for spatial reconstructi

94 gated the effects of PM2.5 on phenotype, the transcriptome, and chromatin accessibility and compared

95 Our analyses of the genome, transcriptome, and functional assays advance general und

96 ehensive integrated analysis of methylation, transcriptome, and genome profiles of more than 400 BE a

97 Employing whole-genome, exome, transcriptome, and methylation sequencing of 83 canine g

98 types, the TAPIN-seq method to measure their transcriptomes, and a probabilistic method to interpret

99 sites have been identified within mammalian transcriptomes, and a single resource to best share, ann

100 phages that exhibited convergent epigenomes, transcriptomes, and functions.

101 ity, we built a more comprehensive zebrafish transcriptome annotation that addresses these deficienci

102 ia to guide interpretation of changes in the transcriptome as a whole to predict disease progression.

103 Fate tracking and transcriptome assessment in reporter mice establishes SO

104 with GWAS of nevus count and hair color, and transcriptome association approaches, uncovered 31 poten

105 Our data delineate a high-resolution transcriptome atlas in the entire male GSC lineage: the

106 Transcriptome-based machine-learning classifiers reveale

107 se new methods, we propose the adoption of a transcriptome-based taxonomy of cell types for mammalian

108 nset initiated major changes to the platelet transcriptome, both in FcgammaRIIA-expressing and nonexp

109 A complex in the establishment of the oocyte transcriptome by using a specific TSS recognition code.

110 ular control of leaf senescence, we examined transcriptome changes during seasonal leaf senescence in

111 k-grown seedlings into light causes enormous transcriptome changes followed by a dramatic development

112 In addition to 3'UTR length, numerous transcriptome changes that could contribute to this phen

113 In order to decipher transcriptome changes under DI, RNA-seq was performed in

114 at RNLs and "classical" CNLs trigger similar transcriptome changes, suggesting that RNLs act like oth

115 function, we performed the first single-cell transcriptome characterization of CF sputum.Objectives:

116 splicing, and DNA methylation that may shape transcriptome complexity and proteome specificity in dev

117 rnative polyadenylation (APA) contributes to transcriptome complexity by generating mRNA isoforms wit

118 ep, preventing effective characterization of transcriptome complexity.

119 ting-based study of the epidermal cell layer transcriptome confirms that core UV-B stress signaling p

120 Transcriptomes contained only endogenized densovirus ele

121 Using Arabidopsis root transcriptome data and coexpression clustering, we ident

122 Transcriptome data are enriched by correlative analysis

123 we analyze whole-genome, whole-exome and/or transcriptome data from 702 neuroblastoma samples.

124 reference for B. juncea, to which we mapped transcriptome data from a diverse panel of B. juncea acc

125 cularly on UK Biobank brain imaging data and transcriptome data from the Cancer Genome Atlas, we show

126 We used a large collection of in-house transcriptome data from various soybean (Glycine max and

127 Transcriptome data may also be useful for genomic predic

128 ipeline for non-bioinformaticians to analyze transcriptome data, predict causal regulations, assess n

129 uding cell type calling and integration with transcriptome data, requires the construction of a robus

130 erally consistent with those observed in the transcriptome data.

131 pared our rice RNA-seq dataset with a nodule transcriptome dataset in Medicago truncatula.

132 In recent years, the rapid accumulation of transcriptome datasets from diverse experimental conditi

133 ing of small RNAs, a vast majority of public transcriptome datasets lack reliable miRNA profiles.

134 A widely neglected subset of our transcriptome derives from integrated retroviral element

135 LgDel versus wild-type (WT) CNgV transcriptomes differ significantly at E10.5 just after

136 including a migratory cell population with a transcriptome distinct from the previously defined T1- a

137 alyses of one of the two major mechanisms of transcriptome diversity, namely, differential expression

138 To characterize the nuclear and cytoplasmic transcriptomes during brain development, we sequenced bo

139 liana) seedlings provides insight into plant transcriptome dynamics.

140 he prospects of applying single-cell genome, transcriptome, epigenome, proteome, and metabolome analy

141 Transcriptome exercise studies using bulk tissue analysi

142 Our data provide key insights into the transcriptome features of peri-meiotic female germ cells

143 We analyzed m(6)A across the transcriptome following infection by dengue virus (DENV)

144 ting the spatial dynamics of the human brain transcriptome for genes and exploring the expression qua

145 etabolome, lipidome, immunome, proteome, and transcriptome from 36 well-characterized volunteers, bef

146 tion in natural populations, we analyzed the transcriptome from multiple tissues of two recently dive

147 tification Technology (MudPIT) to generate a transcriptome from whole larvae and salivary glands from

148 s to date, obtained by characterizing tumour transcriptomes from 1,188 donors of the Pan-Cancer Analy

149 Single-cell transcriptomes from dissociated tissues provide insights

150 In this study, sixteen blueberry root transcriptomes from eight clonally propagated blueberry

151 these issues, we analyzed 45,334 single-cell transcriptomes from embryonic day (E)7.5, when endoderm

152 Arabidopsis thaliana transcriptomes have been extensively studied and charact

153 post-MI HF (data set 2), whereas single-cell transcriptomes identified 15 gene-protein candidates (da

154 Data mining of the brain transcriptome in Parkinson disease patients supported CR

155 ried out deep analysis of the microbiome and transcriptome in the skin of a large cohort of AD patien

156 ells from healthy stomachs each had distinct transcriptomes, in chronically inflamed stomachs, these

157 The resulting developmental transcriptome is globally structured by dynamic cytodiff

158 RNA sequencing was performed on transcriptomes isolated from lymph nodes, macrodissected

159 Above all, this study provides the whole transcriptome landscape of ovarian cells and unearths ne

160 Transcriptome landscape reveals the molecular mechanisms

161 n E. scolopes MIF (EsMIF) in the light-organ transcriptome, led us to ask whether EsMIF might be the

162 days after conception until birth, including transcriptomes, methylomes and chromatin states.

163 phenotypes are consistent with the observed transcriptome misregulation, as cht7 cells fail to prope

164 n networks, and coexpressed in the normative transcriptome module specialized for innate immune and n

165 hnology that allows you to profile the whole transcriptome of a large number of individual cells.

166 evaluating the root morphology, anatomy and transcriptome of bmr12 mutant.

167 haracterize the developmental polyadenylated transcriptome of C. elegans Taking advantage of long rea

168 lipidomic and carbohydrate profiles with the transcriptome of developing nodules revealed highly acti

169 (IPF).Objectives: We sought to decipher the transcriptome of freshly isolated epithelial cells from

170 More specifically, the transcriptome of in vitro C. rodentium-primed Th17 cells

171 bserved no profound alterations in the blood transcriptome of individuals with HVDAS.

172 was to develop a comprehensive atlas of the transcriptome of limb tendons in adult mice and rats usi

173 ngle-cell RNA sequencing to characterize the transcriptome of midgut epithelial cells and identified

174 we characterized the temporal changes in the transcriptome of synchronously replicating populations o

175 iously identified in the hemolymph-activated transcriptome of the entomopathogenic nematode Heterorha

176 The transcriptome of the placenta with a female fetus was co

177 Finally, we profile the transcriptome of the post-implantation epiblast and all

178 ERK1/2 signaling and profoundly impacted the transcriptome of these cells while inducing minor gene e

179 The transcriptome of tumor blood vasculature from human inva

180 By analyzing the transcriptomes of 11,492 single cells and identifying ma

181 Analysis of TOPscores across the transcriptomes of 16 mammalian tissues defines a constit

182 We sequenced the transcriptomes of 287 269 single cardiac nuclei, reveali

183 ITE-seq profiling of 82 surface proteins and transcriptomes of 53,201 single cells from healthy high

184 single-cell RNA sequencing characterized the transcriptomes of 544 individual cells from mouse embryo

185 mpared the HIV RNA/DNA contents and cellular transcriptomes of CD103(+) and CD103(-) CD4 T cells from

186 single-cell RNA sequencing, we profiled the transcriptomes of cells from the proximal and non-proxim

187 In search of them, we profiled the transcriptomes of developing POMC and NPY/AgRP neurons i

188 In this study we analyzed the transcriptomes of eight different monocyte subgroups der

189 We sequenced the genomes and transcriptomes of five bonnet mushroom species (Mycena s

190 PETRI-seq captures single-cell transcriptomes of Gram-negative and Gram-positive bacter

191 This work generates a resource for transcriptomes of human extraembryonic and embryonic ger

192 data of gastric corpus epithelium to define transcriptomes of individual epithelial cells from healt

193 Here we analyse the transcriptomes of individual primary human cortical cell

194 Here, we report that the transcriptomes of monocyte-like THP-1 cells and macropha

195 Moreover, we show that the transcriptomes of neurons that are of the same type but

196 Transcriptomes of T. claveryi x Helianthemum almeriense

197 In parallel, we measured the transcriptomes of the same four cell types upon FMR1 gen

198 We sequenced the transcriptomes of two synthetic autopolyploid accessions

199 Here, we compared the RNA-sequenced transcriptomes of ~100 laser captured microdissected SNp

200 ll RNA-sequencing (scRNA-seq) to analyze the transcriptomes of ~85,000 cells from the fovea and perip

201 tion and chromatin accessibility, as well as transcriptomes, of osteoblasts and other cells in uninju

202 n state (active or inactive) of genes in the transcriptome offers unique benefits for addressing this

203 sues near or distal to salivary glands using transcriptome or proteomics.

204 nder patients were characterized by distinct transcriptomes overlapping with previous hepatobiliary m

205 We compared the transcriptome, phenotype, and function of memory CD8(+)

206 istic overview was obtained by a comparative transcriptome profile analysis, which revealed that LBL

207 lly, this is the first report describing the transcriptome profiles during EV-A71 infections in prima

208 nd adjust gene expression estimates based on transcriptome profiles for the local subnetwork of cells

209 ther supported by bioinformatics analysis of transcriptome profiles in LINC00313 overexpression combi

210 exposure to bisphenol A (BPA) disrupted the transcriptome profiles of genes in the offspring hippoca

211 encing provides an alternative way to obtain transcriptome profiles of such tissues.

212 mune functionality, metabolic responses, and transcriptome profiles.

213 ere persistent asthma and controls for nasal transcriptome profiling and applied network-based and pr

214 Transcriptome profiling displayed that TGF-beta pathway

215 Methylome and transcriptome profiling identified several inflammatory

216 Here, we show transcriptome profiling of 21,422 single cells-including

217 self-administer intravenous cocaine, we did transcriptome profiling of LH MCH neurons after long-ter

218 In MIM159 tobacco, transcriptome profiling revealed that genes associated w

219 Global transcriptome profiling revealed that TamS cells adapt t

220 o and in vivo Consistent with these results, transcriptome profiling showed increased expression of s

221 and subjected to comprehensive phenotyping, transcriptome profiling, molecular pathway identificatio

222 chromatin immunoprecipitation sequencing and transcriptome profiling.

223 stores youthful DNA methylation patterns and transcriptomes, promotes axon regeneration after injury,

224 wed an unprecedented exploration of genomes, transcriptomes, proteomes and metabolomes of CAM plants

225 Our new rat transcriptome provides essential reference for genetics

226 D7 5' and CR3 transcripts are present in the transcriptome, providing evidence for the use of dual OR

227 develop this platform, we established a pan-transcriptome reference for B. juncea, to which we mappe

228 ted the influence of S. bescii on growth and transcriptome regulation of nitrogen (N) and phosphorus

229 ociliary differentiation, demonstrating that transcriptome related to ciliogenesis and cilia function

230 equences and their prevalence throughout the transcriptome remain unclear, primarily because of uncer

231 s to specific stimuli to regulate eukaryotic transcriptomes remains unknown.

232 PCs from mTOR(ECKO) mice revealed that their transcriptome resembled aged HSPCs.

233 This conserved IFN-gamma transcriptome response in melanoma cells serves to ampli

234 gamma in vitro exposure leads to a conserved transcriptome response unless cells have IFN-gamma recep

235 e N. colorata genome and 19 other water lily transcriptomes reveal a Nymphaealean whole-genome duplic

236 Their root transcriptome reveals elevated ethylene responses and ex

237 Cyclosporine led to a more pronounced global transcriptome reversion and normalized T(H)17 cell/IL23

238 fat deposition in the tails of sheep through transcriptome, RT-PCR, qPCR, and Western blot analyses.

239 Transcriptome sequencing (RNA-seq) analysis of IRAK4 kno

240 human stem cells is investigated using whole-transcriptome sequencing (RNA-seq).

241 enome rearrangement and identified through a transcriptome sequencing analysis of human cancers.

242 Whole-transcriptome sequencing by RNA sequencing (RNA-Seq), wi

243 , microarray gene expression and single-cell transcriptome sequencing datasets.

244 genome sequencing of 87 tumors with matching transcriptome sequencing for 63 tumors was performed.

245 is (PCA), we characterized common and unique transcriptome signatures among CTE, CTE/AD, and AD.

246 produced via haploid induction, to estimate transcriptome size and dosage responses immediately foll

247 s been observed in previous studies, overall transcriptome size does not exhibit a simple doubling in

248 Skin transcriptome studies in atopic dermatitis (AD) showed b

249 This transcriptome study provided a comprehensive understandi

250 we present the first much-needed genome-wide transcriptome study that provides unique insight into AS

251 ur findings prompt the dismissal of discrete transcriptome subtypes for HGSOC and replacement by a mo

252 plifying spermatogonia cysts display similar transcriptomes, suggesting common molecular features amo

253 eptide treatment reprogrammed the microbiome transcriptome, suppressed the production of pro-inflamma

254 y a broadly useful gene panel based on whole transcriptome technology.

255 frequent (4684) within 0.14 gb (giga bases) transcriptome than other repeats, of which was two times

256 differences are presumably imprinted in the transcriptome, the pathways and networks that sustain EC

257 transition in mouse oocytes by sculpting the transcriptome to degrade RNAs encoding growth-phase fact

258 allele fraction at expressed SNV loci in the transcriptome (VAFRNA).

259 Transcriptome variations between responders and non-resp

260 The transcriptome was analyzed using RNA sequencing.

261 The gingival transcriptome was determined with a microarray analysis

262 The gene expression transcriptome was obtained by RNA sequencing.

263 Although each culture exhibited a unique transcriptome, we identified shared GRNs that underlie t

264 typically considered from its impact on the transcriptome, we previously found that three maternally

265 in insights into the Rhipicephalus microplus transcriptome, we used RNA-seq to carry out a study of e

266 f large-scale single-cell and single-nucleus transcriptomes, we characterize six anatomical adult hea

267 improve the understanding of the overlapping transcriptomes, we have developed an optimized method, T

268 s from patients with cirrhosis had different transcriptomes; we identified more than 4000 genes that

269 itecture, and the placenta and metrial gland transcriptome were observed between control and FOXA2 cK

270 erythematosus (SLE) display a complex blood transcriptome whose cellular origin is poorly resolved.

271 We performed a transcriptome-wide analysis during in vitro mucociliary

272 Importantly, transcriptome-wide analysis of mRNAs that encode intrins

273 ssociated with life-threatening disease; and transcriptome-wide association in lung tissue revealed t

274 Transcriptome-wide association studies (TWAS) integrate

275 Transcriptome-wide association studies (TWAS) show incre

276 the human fetal brain with which we perform transcriptome-wide association studies (TWASs) of attent

277 associated with complex traits, a number of transcriptome-wide association study (TWAS) methods have

278 al genes for differential fibre quality in a transcriptome-wide association study (TWAS).

279 used heritability, gene-set enrichment, and transcriptome-wide association study approaches to evalu

280 pleiotropy, addressing a major challenge of transcriptome-wide association study interpretation) and

281 on Study) of AF; and (3) a whole blood TWAS (Transcriptome-Wide Association Study) of AF.

282 veloped Slide-seq, a technology that enables transcriptome-wide detection of RNAs with a spatial reso

283 In recent years, transcriptome-wide experimental and computational method

284 hput transcriptomics we identify NMD targets transcriptome-wide in PEL cells and identify host and vi

285 owever, elucidation of RNA editing events at transcriptome-wide level requires increasingly complex c

286 the ablation have never been elucidated at a transcriptome-wide level.

287 Integrated analysis of transcriptome-wide m(6)A-seq and mRNA-seq analysis ident

288 Transcriptome-wide mapping in ESCs reveals hundreds of m

289 c(4)C-seq, a chemical genomic method for the transcriptome-wide quantitative mapping of ac(4)C at sin

290 -independent DNA off-target editing, and in transcriptome-wide RNA off-target editing can be amelior

291 Using transcriptome-wide RNA-Seq and polysome profiling-Seq in

292 A transcriptome-wide search further reveals mRNA targets t

293 issociation of UPF1 from purified mRNPs, and transcriptome-wide UPF1 RNA binding, we present the mech

294 sequencing (MemorySeq) for identifying genes transcriptome-wide whose fluctuations persist for severa

295 on (CLIP) methods enable mapping RBP targets transcriptome-wide, but methodological differences prese

296 We developed a nucleotide resolution transcriptome-wide, single molecule SM-PAT-seq method.

297 derstanding of the diversity within P. vivax transcriptomes will be essential for the prioritisation

298 vide evidence to associate RVs affecting the transcriptome with human traits.

299 king possible the correlation of single cell transcriptomes with cell location, morphology and electr

300 Combining these transcriptomes with recently reported connectomes helps