ライフサイエンスコーパス: RNA sequence

1 ossible non-pseudoknotted RNA structures for RNA sequences.

2 more general embedded 'patterns' in DNA and RNA sequences.

3 ing oncogene and telomere-associated DNA and RNA sequences.

4 ently available only for a limited number of RNA sequences.

5 on and tissue response were assessed through RNA sequencing.

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

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

8 differential gene expression using Illumina RNA sequencing.

9 le rat barrel cortex were investigated using RNA sequencing.

10 llected for scanning electron microscopy and RNA sequencing.

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

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

13 normal-weight children by using directional RNA sequencing.

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

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

16 t with pathway enrichment identified through RNA sequencing.

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

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

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

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

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

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

23 RNA sequencing allows for analysis of the amount of tran

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

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

26 Comparative RNA sequencing analyses showed reduced expression of mit

27 se embryos and performed whole transcriptome RNA sequencing analyses.

28 RNA-sequencing analyses revealed differential gene expre

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

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

31 RNA sequencing analysis reliably measured approximately

32 Results RNA sequencing analysis resulted in 10 metagenes that ca

33 RNA sequencing analysis revealed that SRp55 regulates th

34 Overall, RNA sequencing analysis revealed that transcriptomes dur

35 RNA sequencing analysis revealed that transformed MEPs g

36 RNA sequencing analysis was performed and 263 genes were

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

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

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

40 RNA-sequencing analysis of ELENA1-overexpressing plants

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

42 High throughput RNA-sequencing analysis reveals several overlapping gene

43 RNA-sequencing analysis showed an increased expression o

44 RNA-sequencing analysis showed upregulation of proinflam

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

46 RNA-sequencing analysis verified an important bile salt

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

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

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

50 ver, such data do not reveal how surrounding RNA sequence and structural context modulate affinity.

51 r systematically designed mutants perturbing RNA sequence and structure.

52 and antiviral mechanisms affecting the viral RNA sequence and/or an RNA modification act on viruses l

53 exist a number of tools to design the guide RNA sequences and predict potential off-target sites.

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

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

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

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

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

59 RNA sequencing and metabolomics were used to determine t

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

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

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

63 RNA sequencing and qRT-PCR revealed that arginine biosyn

64 RNA sequencing and quantitative real-time PCR analyses r

65 RNA sequencing and quantitative RT-PCR analyses identifi

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

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

68 Using RNA sequencing and targeted sequencing, here we identify

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

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

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

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

73 nspecifically (with lower affinity) to other RNA sequences, and heptavalent protein cytoskeleton-asso

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

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

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

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

78 A comparative RNA sequencing approach unveiled the molecular underpinn

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

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

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

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

83 Microarrays and RNA sequencing are widely used to profile transcriptome

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

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

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

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

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

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

90 this paper, using our new approach, a viral RNA sequence can be detected in less than 2 h without th

91 cal base pairing within guanine-rich DNA and RNA sequences can produce G-quartets, whose stacking lea

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

93 RNA sequencing confirmed that Hh-mediated transcription

94 Analysis using RNA sequencing confirmed that this segment of chromosoma

95 3 inhibitor RGFP966 increases hepcidin, and RNA sequencing confirms hepcidin is one of the genes mos

96 me Samples system contains annotated DNA and RNA sequence data of (i) archaeal, bacterial, eukaryotic

97 From small RNA sequence data, we identified a set of reads with wel

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

99 RNA sequencing data and a uidA reporter assay indicated

100 2015, through January 31, 2017, used DNA and RNA sequencing data and messenger RNA expression results

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

102 RNA sequencing data from both human fetal ear and mouse

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

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

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

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

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

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

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

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

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

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

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

114 174 individuals with both imaging and brain RNA sequencing data.

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

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

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

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

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

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

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

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

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

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

125 RNA sequencing demonstrated a strikingly differential ge

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

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

128 activation domains can act as a potent guide RNA sequence-directed inducer or repressor of gene expre

129 polymerase activity is regulated by nascent RNA sequences, DNA template sequences, and conserved tra

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

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

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

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

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

135 NA viral markers of polyadenylation-selected RNA sequences from microbial communities dominated by Au

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

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

138 ulling simulations (0.86 ms total) on eleven RNA sequences (hairpins and duplexes).

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

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

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

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

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

144 Single-cell RNA sequencing identified meningeal cells with distinct

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

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

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

148 RNA sequencing implicated the sphingolipid pathway as a

149 accinated monkeys showed no detectable viral RNA sequences in plasma after challenge.

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

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

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

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

154 We have identified RNA sequences involved in genome packaging of the picorn

155 utionary footprints that go beyond the small RNA sequence itself, yet their location along the precur

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

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

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

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

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

161 High-throughput RNA sequencing methods coupled with specialized bioinfor

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

163 RNA sequence modification, delivery optimization, or con

164 curs in parallel with evolution of consensus RNA sequence motifs known to be associated with the enzy

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

166 RNA sequences of a gene can have single nucleotide varia

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

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

169 Small RNA sequencing of dissected regions of immature seed coa

170 RNA sequencing of Erdr1-overexpressing cells identified

171 Dual RNA sequencing of individual host cell populations and C

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

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

174 Using RNA sequencing of Populus trichocarpa roots in mutualist

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

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

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

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

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

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

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

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

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

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

185 3,782 SNPs derived from DNA resequencing and RNA-sequencing of 41 groundnut accessions and wild diplo

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

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

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

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

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

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

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

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

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

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

196 RNA sequencing provided clear evidence of prophage gene

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

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

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

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

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

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

203 RNA sequencing revealed 657 differentially expressed gen

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

205 RNA sequencing revealed prominent gene expression differ

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

207 RNA sequencing revealed that resistant cells express FGF

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

209 RNA-sequencing revealed that 52 genes are differentially

210 RNA sequencing reveals quantitative changes, not only in

211 RNA sequencing reveals that the splenic neutrophil trans

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

255 RNA sequence studies revealed an orderly progression of

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

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

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

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

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

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

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

263 creases the accessibility of its surrounding RNA sequence to bind heterogeneous nuclear ribonucleopro

264 e effects of mutations on the ability of the RNA sequence to successfully package into a viral capsid

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

285 RNA sequencing was performed on isolated steatotic prima

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

287 RNA sequencing was used to characterize dendritic cell (

288 Using RNA sequencing we identified a human articular chondrocy

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

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

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

298 We performed gene expression profile, RNA sequence, whole-exome and genome sequence, and immun

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