ライフサイエンスコーパス: RNA sequencing

1 on and tissue response were assessed through RNA sequencing.

2 the microbiota was analyzed by 16S ribosomal RNA sequencing.

3 rial block-face electron microscopy (EM) and RNA sequencing.

4 differential gene expression using Illumina RNA sequencing.

5 le rat barrel cortex were investigated using RNA sequencing.

6 103), and dogs (n = 34) were generated using RNA sequencing.

7 pse imaging, immunostaining, and single-cell RNA sequencing.

8 llected for scanning electron microscopy and RNA sequencing.

9 normal-weight children by using directional RNA sequencing.

10 dentities in the hypothalamus by single-cell RNA sequencing.

11 K(+) deficiency was analyzed by whole-genome RNA sequencing.

12 t with pathway enrichment identified through RNA sequencing.

13 nd 37 relapse samples-were analyzed by using RNA sequencing.

14 regulated in CD4+ T cells as demonstrated by RNA sequencing.

15 in response to exogenous ABA using Illumina RNA-sequencing.

16 day 12.5 (E12.5) intestine transcriptome by RNA-sequencing.

17 P followed by deep sequencing (ChIP-seq) and RNA sequencing after EHF depletion, we show that EHF tar

18 PAFc that facilitate leukemia by performing RNA-sequencing after conditional loss of the PAFc subuni

19 RNA sequencing allows for analysis of the amount of tran

20 The RNA sequencing also pointed to an essential role of the

21 rendered V. cholerae more resistant to H2O2 RNA sequencing analyses indicated that OxyR1-activated o

22 Comparative RNA sequencing analyses showed reduced expression of mit

23 se embryos and performed whole transcriptome RNA sequencing analyses.

24 RNA-sequencing analyses of cortical and striatal micropu

25 RNA-sequencing analyses revealed differential gene expre

26 Thus, we performed RNA sequencing analysis of the LEW rat versus the BN rat

27 As were isolated and used to perform a small RNA sequencing analysis on 10 samples and a quantitative

28 RNA sequencing analysis reliably measured approximately

29 Results RNA sequencing analysis resulted in 10 metagenes that ca

30 RNA sequencing analysis revealed that SRp55 regulates th

31 Overall, RNA sequencing analysis revealed that transcriptomes dur

32 RNA sequencing analysis revealed that transformed MEPs g

33 RNA sequencing analysis was performed and 263 genes were

34 opment, in adulthood, and after injury using RNA sequencing analysis, quantitative electron microscop

35 ll lines was subjected to transcriptome-wide RNA sequencing analysis.

36 We have used RNA-sequencing analysis and linear mixed models to exami

37 RNA-sequencing analysis of ELENA1-overexpressing plants

38 RNA-sequencing analysis of FACS-purified Abcc8(-/-) beta

39 High throughput RNA-sequencing analysis reveals several overlapping gene

40 RNA-sequencing analysis showed an increased expression o

41 RNA-sequencing analysis showed upregulation of proinflam

42 Moreover, RNA-sequencing analysis shows altered transforming growt

43 Here, we provide data from an RNA-sequencing analysis suggesting that Xpp1 is an activ

44 RNA-sequencing analysis verified an important bile salt

45 a transcription factor that, as revealed by RNA-sequencing analysis, influences the expression of mu

46 Using RNA-sequencing analysis, we show that NXF3 associates no

47 sing single nucleotide polymorphism-informed RNA-sequencing analysis.

48 We performed RNA sequencing and aligned the reads to both the human r

49 each case, we analyzed gene expression using RNA sequencing and assessed differences between conditio

50 Next-generation RNA sequencing and DNA methylation data were generated u

51 ing PML were analyzed for gene expression by RNA sequencing and for serum protein levels by Luminex a

52 Single-cell RNA sequencing and imaging revealed co-activation and ac

53 RNA sequencing and metabolomics were used to determine t

54 wide in Drosophila, using metabolic labeling/RNA sequencing and new mathematical models to estimate r

55 A extracts with sensitivity similar to small RNA sequencing and northern blots.

56 In this study, with the use of RNA sequencing and PCR technologies, we report the disco

57 RNA sequencing and qRT-PCR revealed that arginine biosyn

58 RNA sequencing and quantitative real-time PCR analyses r

59 RNA sequencing and quantitative RT-PCR analyses identifi

60 Using simultaneous RNA sequencing and ribosome profiling, two techniques qu

61 Here we integrate single-cell RNA sequencing and robust statistical analyses with in v

62 Using RNA sequencing and targeted sequencing, here we identify

63 was used to prepare cDNA libraries for small RNA sequencing and to analyze miRNAs by quantitative rea

64 Using RNA-sequencing and chromatin immunoprecipitation sequenc

65 es for 11 cassava tissue/organ types through RNA-sequencing and develop an open access, web-based int

66 sessed the host epithelial response by using RNA-sequencing and functional assays.

67 We extended previous RNA-sequencing and produced a comprehensive annotated tr

68 In this study we used RNA-sequencing and quantitative proteomics (LC-MS/MS) to

69 uantitative polymerase chain reaction (PCR), RNA sequencing, and comparison of the transcriptomes of

70 We used genetic lineage tracing, single-cell RNA sequencing, and organoid culture approaches to show

71 L1000 is highly reproducible, comparable to RNA sequencing, and suitable for computational inference

72 ic variability is evident between clones, by RNA-sequencing, and at the single-cell level, by RNA-FIS

73 develop a high-throughput 3' single-nucleus RNA sequencing approach that combines nanogrid technolog

74 A comparative RNA sequencing approach unveiled the molecular underpinn

75 and a new single-cell combinatorial indexing RNA sequencing approach.

76 erlie this process, we applied a single-cell RNA-sequencing approach and analyzed individual CD8(+) T

77 er planarian Schmidtea mediterranea Using an RNA-sequencing approach, we identified two classes of ma

78 However, current single-cell RNA-sequencing approaches lack the sensitivity required

79 Microarrays and RNA sequencing are widely used to profile transcriptome

80 reproductive development using whole-animal RNA sequencing at fine time points and at sufficient dep

81 d mouse lung-resident ILCs using single-cell RNA sequencing at steady state and after in vivo stimula

82 We used an RNA sequencing-based approach and coexpression correlati

83 Using an RNA sequencing-based proteomics approach together with m

84 We developed an RNA-sequencing-based pipeline to discover differentially

85 of top differentially upregulated genes from RNA sequencing between miR106b-93-25(-/-) and wild-type

86 ng top differentially expressed genes in the RNA sequencing between pre-PML and NTZ-ctr patients, pat

87 se significant obstacles for high-throughput RNA sequencing by impairing cDNA synthesis.

88 exed protocol for high-throughput, selective RNA-sequencing called SL-seq.

89 , Western blot, EMSA) or genome-wide assays (RNA-sequencing, ChIP-sequencing), we have assembled a co

90 RNA sequencing confirmed that Hh-mediated transcription

91 Analysis using RNA sequencing confirmed that this segment of chromosoma

92 3 inhibitor RGFP966 increases hepcidin, and RNA sequencing confirms hepcidin is one of the genes mos

93 eir presence in vivo, but recent advances in RNA sequencing coupled with chemical footprinting sugges

94 ep, in the subset of participants with DLPFC RNA sequencing data (n = 469), brain transcription level

95 RNA sequencing data and a uidA reporter assay indicated

96 2015, through January 31, 2017, used DNA and RNA sequencing data and messenger RNA expression results

97 also been clearly demonstrated based on TCGA RNA sequencing data for studying two closely related typ

98 RNA sequencing data from both human fetal ear and mouse

99 d mononuclear cells as well as 16S ribosomal RNA sequencing data from bronchoalveolar lavage obtained

100 Here, we capitalized on small RNA sequencing data from distinct species such as Arabid

101 Tremendous amount of RNA sequencing data have been produced by large consorti

102 n sites, and merging of these sites with the RNA sequencing data identified a set of canola genes tar

103 r), on single-cell resolution.In single-cell RNA sequencing data of heterogeneous cell populations, c

104 informatics solution to understand ASE using RNA sequencing data only.

105 We therefore produced an extensive small RNA sequencing data set to analyze male and female miRNA

106 of known and putative SSP genes based on 144 RNA sequencing data sets covering various stages of macr

107 We generated high-spatial-resolution RNA sequencing data spanning the secondary phloem, vascu

108 rmation of chromosome (Hi-C) and single-cell RNA sequencing data together with discrete stochastic si

109 inst fetal and adult human liver single-cell RNA sequencing data, and find a striking correspondence

110 174 individuals with both imaging and brain RNA sequencing data.

111 e also determined using paired RNA and small RNA sequencing data.

112 iles (RGEPs) from tumour-derived single-cell RNA sequencing data.

113 We mined our RNA-sequencing data for differentially up-regulated gene

114 Using RNA-sequencing data from 100 hippocampi from mice with e

115 By analyzing RNA-sequencing data from The Cancer Genome Atlas (TCGA)

116 d analyses of whole genomes and multi-tissue RNA-sequencing data from the Genotype-Tissue Expression

117 Here, we use orthogonal RNA-sequencing data to quantify mtDNA expression (mtRNA)

118 An integrative analysis of whole-exome and RNA-sequencing data was employed to extensively characte

119 Analyses of the Cancer Genome Atlas HCC RNA-sequencing data were performed by using Ingenuity Pa

120 n fusions in standard single- and paired-end RNA-sequencing data.

121 RNA sequencing demonstrated a strikingly differential ge

122 Global transcriptional analysis using RNA sequencing, demonstrated that the EPEC and ETEC viru

123 ukocyte levels and immune responses; and (2) RNA sequencing-derived expression profiles of nasal cell

124 Droplet single-cell RNA-sequencing (dscRNA-seq) has enabled rapid, massively

125 hese functional differences, we performed an RNA sequencing experiment on ARVMs from male and female

126 SEPIRA, which leverages the power of a large RNA-sequencing expression compendium to infer regulatory

127 or endogenous CLOCK in adult neocortices and RNA sequencing following CLOCK knockdown in differentiat

128 es and gene expression profiles generated by RNA sequencing for patients with non-small cell lung can

129 Combining small RNA sequencing from 179 human serum samples with a neura

130 Here we show that RNA sequencing from Miz1DeltaPOZ and control animals at

131 Here, we review how single-cell RNA sequencing has provided key insights into mammalian

132 High-throughput single-cell RNA sequencing has transformed our understanding of comp

133 Although ultrahigh-throughput RNA-Sequencing has become the dominant technology for ge

134 dust microbiome analysis using 16S ribosomal RNA sequencing identified 202 and 171 bacterial taxa tha

135 ichment Analysis of transcriptome-wide tumor RNA sequencing identified five significant (FDR<0.01) an

136 Single-cell RNA sequencing identified meningeal cells with distinct

137 etwork identified using TCGA prostate tumour RNA-sequencing identifies co-regulated cancer genes asso

138 bosome affinity purification and single-cell RNA sequencing identify candidate markers for these neur

139 lacenta tissues were profiled by genome-wide RNA sequencing (Illumina High-Seq 2500), and linked to f

140 RNA sequencing implicated the sphingolipid pathway as a

141 the presented study we used high-throughput RNA sequencing in combination with systems-based computa

142 assessed the FOXP3 and EZH2 gene networks by RNA sequencing in isolated intestinal CD4(+) T cells fro

143 urvey of heart transcriptome variation using RNA-sequencing in 97 patients with dilated cardiomyopath

144 As) as biomarkers of AD response using small RNA-sequencing in paired samples from MDD patients enrol

145 novel algorithm using outlier statistics on RNA-sequencing junction expression identified 109 splici

146 ection of RNA biomarker panels from platelet RNA-sequencing libraries (n = 779).

147 However, recent advances in bulk RNA sequencing make it possible to utilize metatranscrip

148 e present a high-throughput, highly accurate RNA sequencing method to measure epimutations with singl

149 Here, we introduce a single-cell RNA-sequencing method, scDual-Seq, that simultaneously c

150 High-throughput RNA sequencing methods coupled with specialized bioinfor

151 ng into EVs, and limitations of conventional RNA-sequencing methods.

152 ome profiling and mitochondrial poly(A)-tail RNA sequencing (MPAT-Seq) assay, we identify the poly(A)

153 d temporal cerebellar expression profiles by RNA sequencing of ATXN2Q127 mice versus wild-type (WT) l

154 ular approach to this question by performing RNA sequencing of brain tissue from mice chronically tre

155 Moreover, RNA sequencing of c-Kit(+) cells showed that CHD7 functi

156 RNA sequencing of cultured astrocytes derived from trkB.

157 Small RNA sequencing of dissected regions of immature seed coa

158 RNA sequencing of Erdr1-overexpressing cells identified

159 Further, small RNA sequencing of GBM patients identified significant mi

160 Dual RNA sequencing of individual host cell populations and C

161 tant vertebrate species, we used single-cell RNA sequencing of lck:GFP cells in zebrafish and obtaine

162 Similarly, RNA sequencing of lupus patient blood revealed similar e

163 Here we use highly parallel, single-cell RNA sequencing of malaria cultures undergoing sexual com

164 Using RNA sequencing of Populus trichocarpa roots in mutualist

165 RNA sequencing of resident CD45(-) joint cells from adva

166 tome analysis, an unbiased approach based on RNA sequencing of resistant subclones, to discover the m

167 generation chromatin immunoprecipitation and RNA sequencing of reward brain regions indicates that th

168 Using RNA sequencing of ribosome-bound mRNA from hippocampal C

169 Finally, RNA sequencing of ST18-depleted tumors before involution

170 ion were determined using metatranscriptomic RNA sequencing of stomach biopsy specimens from individu

171 erformed gene expression profile analysis by RNA sequencing of subsets of interferon gamma (IFNG)-pro

172 s transcriptional dynamics using single-cell RNA sequencing of unstimulated and stimulated naive and

173 signature, we performed whole-transcriptome RNA sequencing of untreated, apoptotic, and recovering H

174 e molecular basis for abnormal KSC function, RNA sequencing of wild-type (WT) and VDR(-/-) KSCs was p

175 3,782 SNPs derived from DNA resequencing and RNA-sequencing of 41 groundnut accessions and wild diplo

176 We perform single-cell RNA-sequencing of human gliomas and identify phenotypic

177 wild-type mice and performed high throughput RNA-Sequencing of kidney tissue in aged mice.

178 Using RNA-sequencing of platelets followed by validation via R

179 Single-cell RNA sequencing offers a promising opportunity for probin

180 Here, we perform deep single-cell RNA sequencing on 5,063 single T cells isolated from per

181 UV-B inhibition of leaf growth, we performed RNA sequencing on isolated GZ tissues of control and UV-

182 expression with quantitative PCR (qPCR) and RNA sequencing on lung epithelium and mesenchyme retriev

183 sy gene expression studies, and validated by RNA-sequencing on FSHD patient-derived myoblasts.

184 y performed using methods developed for bulk RNA sequencing or even microarray data, and the suitabil

185 d regulators of HSC maturation, we performed RNA sequencing over these spatiotemporal transitions in

186 ere we used crossing studies, bulk-segregant RNA sequencing, phylogenetic analyses and functional tes

187 To test this, we developed single-cell RNA sequencing procedures for identifying TCR clonotypes

188 RNA sequencing provided clear evidence of prophage gene

189 Pathway analysis of RNA sequencing provided good evidence to support an effe

190 nscriptomes of individual cells, single-cell RNA sequencing provides unparalleled resolution to study

191 Fluorescence-activated cell sorting, RNA sequencing, quantitative real-time PCR, Western blot

192 Based on RNA-sequencing results, we further investigated regulati

193 However, bulk and single-cell RNA sequencing reveal acquisition of malignant phenotype

194 with its unique phylogenetic position, small RNA sequencing revealed 29 Spirodela-specific microRNA,

195 RNA sequencing revealed 657 differentially expressed gen

196 In these cells, RNA sequencing revealed a substantial number of differen

197 RNA sequencing revealed prominent gene expression differ

198 Indeed, RNA sequencing revealed that reovirus T1L, but not T3D,

199 RNA sequencing revealed that resistant cells express FGF

200 Expression profiling by RNA-sequencing revealed 77 genes with a proportional rel

201 RNA-sequencing revealed that 52 genes are differentially

202 RNA sequencing reveals quantitative changes, not only in

203 RNA sequencing reveals that the splenic neutrophil trans

204 High-throughput RNA sequencing (RNA-seq) analysis of HIF-2alpha-overexpr

205 Here, we use single-cell RNA sequencing (RNA-seq) analysis to show that the trans

206 rated strong gene-level correlations between RNA sequencing (RNA-seq) and microarray platforms, but h

207 RNA sequencing (RNA-seq) and real-time polymerase chain

208 Using RNA sequencing (RNA-Seq) and ribosome profiling of prima

209 cript structure and abundance inference from RNA sequencing (RNA-seq) data is foundational for molecu

210 s been generally accepted in the analysis of RNA sequencing (RNA-Seq) data, its appropriateness has n

211 RNA sequencing (RNA-seq) experiments now span hundreds t

212 RNA sequencing (RNA-seq) is a powerful approach for meas

213 Using unbiased single-cell RNA sequencing (RNA-seq) of 2400 cells, we identified s

214 tant gliomas by combining 14,226 single-cell RNA sequencing (RNA-seq) profiles from 16 patient sample

215 Population and single-cell RNA sequencing (RNA-seq) profiling combined with bulk as

216 Single-cell RNA sequencing (RNA-seq) reveals enrichment of homeostat

217 tions with U2 snRNP-associated proteins, and RNA sequencing (RNA-seq) reveals that introns with nonco

218 rlies all secondary genomic analyses such as RNA sequencing (RNA-Seq), chromatin immunoprecipitation,

219 Using RNA sequencing (RNA-seq), it has now become possible to

220 Using RNA sequencing (RNA-Seq), we compared the expression pat

221 antify a set of predetermined sequences, and RNA sequencing (RNA-Seq), which uses high-throughput seq

222 on and identified MisR-regulated genes using RNA sequencing (RNA-Seq).

223 riptome of yeast and mammalian cells through RNA-sequencing (RNA-seq) analysis of purified stress gra

224 Using a tagged-factor protein capture and RNA-sequencing (RNA-seq) approach, we have assessed how

225 te has been advanced by studying single-cell RNA-sequencing (RNA-seq) but is limited by the assumptio

226 RNA-sequencing (RNA-seq) can deliver both transcriptiona

227 Here, we report RNA-sequencing (RNA-seq) data for the human and murine y

228 While advances in RNA-sequencing (RNA-seq) have enabled high throughput pr

229 To date, RNA-sequencing (RNA-seq) is the standard method for quan

230 e early molecular events in HD, we performed RNA-sequencing (RNA-seq) on striatal tissue from a cohor

231 The goal of this study was to use RNA-sequencing (RNA-seq) to analyze the host transcripto

232 mpared to adjacent normal tissues using deep RNA-sequencing (RNA-seq).

233 anges associated with aging in rodents using RNA-sequencing (RNA-seq).

234 utative mouse ISC populations by comparative RNA-sequencing (RNA-seq).

235 RNA sequencing (RNAseq) analysis of the frontal cortex i

236 Transcriptional profiling using RNA sequencing (RNAseq) has emerged as a powerful method

237 ing differentially expressed (DE) genes from RNA sequencing (RNAseq) studies is among the most common

238 LCD termination and 6 mo after the LCD.Using RNA sequencing (RNAseq), we analyzed transcriptome chang

239 Using next-generation RNA sequencing (RNAseq), we found that host-derived RNAs

240 Single-cell RNA sequencing (scRNA-seq) can be used to characterize v

241 Single-cell RNA sequencing (scRNA-seq) is increasingly used to study

242 ovative approach that integrates single-cell RNA sequencing (scRNA-seq) with the shRNA screen to inve

243 Single-cell RNA-sequencing (scRNA-seq) allows studying heterogeneity

244 Single cell RNA-sequencing (scRNA-seq) can allow simultaneous measur

245 Here, we used single-cell RNA-sequencing (scRNA-seq) of developing neurons to diss

246 Recent advances in single-cell RNA-sequencing (scRNA-seq) technology increase the under

247 rding, immunohistochemistry, and single-cell RNA-sequencing (scRNA-seq) to comprehensively profile si

248 Single cell RNA sequencing (scRNAseq) technique is becoming increasi

249 d findings in a publically available 210-HCC RNA sequencing set.

250 RNA sequencing showed an expected downregulation of gene

251 Single-nucleus RNA sequencing (sNuc-seq) profiles RNA from tissues that

252 y tools have been developed to analyze small RNA sequencing (sRNA-Seq) data, it remains challenging t

253 Fate-mapping and single-cell RNA sequencing studies also showed that M2-like macropha

254 re we have carried out the first genome-wide RNA-Sequencing study in human conjunctival fibrosis.

255 RNA sequencing technique (RNA-seq) enables scientists to

256 Highly sensitive RNA-sequencing technologies were used to analyze the com

257 extracted from the tissue and analyzed with RNA sequencing technology.

258 reased dramatically with the introduction of RNA-sequencing technology, which enables whole transcrip

259 eenless workers (WQLs) using high-throughput RNA-sequencing technology.

260 ress, a validated depression model, and used RNA sequencing to analyze transcriptional profiles assoc

261 t study, we test this hypothesis by applying RNA sequencing to CD4(+), CD8(+), and CD19(+) lymphocyte

262 Here we used RNA sequencing to compare the expression of splicing-reg

263 We applied single-cell RNA sequencing to compare two motor neuron differentiati

264 Here we report the use of single-cell RNA sequencing to determine the gene expression profile

265 ptome analysis of the striatum via messenger RNA sequencing to identify the premorbid transcriptome a

266 We then performed RNA sequencing to investigate the effect of E2f3a overex

267 solated migrated HSPCs from the brain; using RNA sequencing to investigate the transcriptome, we foun

268 he injured spinal cord in mice and performed RNA sequencing to investigate their transcriptional prof

269 Here we used single-cell RNA sequencing to overcome this limitation and analysed

270 genes and gene signatures (GSs) measured by RNA sequencing to predict the efficacy of anti-HER2 agen

271 ombine novel mouse reporters and single-cell RNA sequencing to reveal the heterogeneity in IL-4-induc

272 METHODS AND We used RNA sequencing to study expression changes of circulatin

273 Here, we used RNA sequencing to uncover the scope of the H2O2 (peroxid

274 temporally to the early pupal stage and use RNA-sequencing to identify SOCE mediated gene expression

275 Coupled with targeted RNA sequencing, Tradict may therefore enable simultaneou

276 precipitation sequencing) and transcriptome (RNA sequencing); traditional methods were used to assess

277 Whole-genome RNA sequencing uncovers novel miR-141-regulated molecula

278 and provide recommendations for single-cell RNA sequencing users.

279 Here, small-RNA sequencing was applied to profile miRNA expression i

280 RNA sequencing was conducted on blood from 25 RD-SG, 11

281 RNA sequencing was conducted to assess transcriptome-wid

282 RNA sequencing was performed in peripheral neutrophils f

283 RNA sequencing was performed on isolated steatotic prima

284 mortem brain of patients with schizophrenia: RNA sequencing was performed to assess the differential

285 RNA sequencing was used to characterize dendritic cell (

286 Using RNA sequencing we identified a human articular chondrocy

287 Using single-cell RNA sequencing, we comprehensively characterized the tra

288 ng digested normal human skin by single-cell RNA sequencing, we explored different fibroblast populat

289 Using RNA sequencing, we found that inhibition of TOP2 religat

290 specific domains of the kidney, followed by RNA sequencing, we found that thousands of genes respond

291 Using strand-specific RNA sequencing, we identified 1769 sense and antisense t

292 atin immunoprecipitation with sequencing and RNA sequencing, we identify a novel B-lymphoid program f

293 Furthermore, employing RNA sequencing, we performed a genomewide analysis of ce

294 Using single-cell RNA-sequencing, we found that the number of neuronal ver

295 Using small RNA-sequencing, we identified 181 conserved and 173 nove

296 By using strand-specific RNA-sequencing, we profiled the expression patterns of l

297 Gene expression-based biomarkers using RNA sequencing were examined for their association with

298 expression is traditionally studied by bulk RNA sequencing, which measures average expression across

299 correlated with gene expression measured by RNA sequencing, with negative correlations being more co

300 intestinal tissue samples were collected for RNA-sequencing, with samples from uninfected C57BL/6 WT