ライフサイエンスコーパス: RNA sequence

1 f potentially all RNA viruses, regardless of RNA sequence.

2 c" function, namely, the cleavage of another RNA sequence.

3 fic interaction of LOTUS domains with G-rich RNA sequences.

4 structively isolated out by ROT, and finally RNA-sequenced.

5 cyte-derived macrophages and microglia using RNA sequencing.

6 ns in the nucleus accumbens were measured by RNA sequencing.

7 biota data were obtained using 16S ribosomal RNA sequencing.

8 ene expression transcriptome was obtained by RNA sequencing.

9 The transcriptome was analyzed using RNA sequencing.

10 tic expression of neurons as demonstrated by RNA Sequencing.

11 dels and from the perspective of single-cell RNA sequencing.

12 tages by using a personal genome machine and RNA sequencing.

13 ell surface-expressed genes in human ILCs by RNA sequencing.

14 fects in KID-KCs, as detected by genome-wide RNA sequencing.

15 with the depth and resolution of single-cell RNA sequencing.

16 solated by laser-capture microdissection for RNA sequencing.

17 ifications using RNA-immunoprecipitation and RNA sequencing (8-oxoG RIP-seq) to identify 343 RNA tran

18 Single-cell RNA sequencing analyses detected activated B cells, germ

19 Bulk RNA sequencing analyses revealed that the sonoselective

20 By combining dual RNA-sequencing analyses and cell imaging, we show that t

21 Mechanistically, single-cell RNA-sequencing analyses of a mesenchymal niche model sho

22 RNA sequence analysis of pn-csERRalpha/gamma knockdown h

23 Our comprehensive RNA sequencing analysis in Arabidopsis (Arabidopsis thal

24 RNA sequencing analysis of lungs from prenatally stresse

25 Our RNA sequencing analysis of mouse PROM1(+) cells, reveals

26 Further, RNA sequencing analysis revealed altered gene expression

27 RNA sequencing analysis showed a robust enrichment of My

28 Furthermore, RNA-sequencing analysis identified systematic down-regul

29 More importantly, single-cell RNA-sequencing analysis illustrated that vOrganoids exhi

30 We also performed RNA-sequencing analysis in JAB1-knockdown OS cells and i

31 An unbiased RNA-sequencing analysis of 207 donors revealed an unprec

32 Here, through single cell RNA-sequencing analysis of the tracheal epithelium from

33 RNA-sequencing analysis revealed that UAB126 regulates t

34 Condensation of N-protein is RNA sequence and structure specific, sensitive to human

35 otein shows decreased ability to bind target RNA sequences and to regulate target AS events.

36 ortas was recently analyzed in 9 single-cell RNA sequencing and 2 mass cytometry studies.

37 Single-cell RNA sequencing and analytical approaches have explored t

38 We applied single-cell RNA sequencing and computational modelling to track memo

39 Single-cell RNA sequencing and direct comparison to fetal specimens

40 Combined in vivo RNA sequencing and drop-out screening identified secrete

41 Using RNA sequencing and drug screening, we find that treatmen

42 Using single-cell RNA sequencing and epigenetic profiling, we demonstrate

43 Using single-cell RNA sequencing and flow cytometry, we found that miR-155

44 senteric lymph node tissues were analyzed by RNA sequencing and flow cytometry.

45 veolar compartment as defined by single-cell RNA sequencing and fluorescence as well as electron micr

46 Finally, we highlight the utility of RNA sequencing and genetic tools in uncovering RGC type-

47 Using single cells RNA sequencing and high-dimensional flow cytometry, we d

48 chemical modifications with direct long-read RNA sequencing and machine learning to detect secondary

49 o gain insights on these mechanisms and used RNA sequencing and Multidimensional Protein Identificati

50 tatic cells during seeding using single-cell RNA sequencing and patient-derived-xenograft models of b

51 RNA sequencing and quantitative real-time PCR analysis w

52 of G12D and G12V mice were identified using RNA sequencing and reverse-phase protein array analyses.

53 Mechanistically, unbiased RNA sequencing and single-cell sequencing revealed that

54 Using single-cell RNA sequencing and synovial tissue organoids, we found t

55 ion process allows for highly accurate small RNA sequencing and will enable studies of 2'OMe modified

56 combine two novel technologies, single-cell RNA-sequencing and CRISPR-Cas9 barcode editing for eluci

57 Here, we used RNA-sequencing and metabolomics to examine early glaucom

58 RNA-sequencing and stem cell pathway real-time RT-PCR an

59 unoprecipitation sequencing (ChIP-seq), bulk RNA sequencing, and an innovative dual lineage tracing m

60 Samples were analyzed by 16S ribosomal RNA sequencing, and diet-related metabolites were measur

61 rallel analysis of RNA ends/degradome reads, RNA sequencing, and even chromatin immunoprecipitation s

62 th chromatin immunoprecipitation sequencing, RNA sequencing, and expression quantitative trait loci d

63 II proteins, timed AID deletion, single-cell RNA sequencing, and lineage tracing experiments point to

64 Proteomic data, RNA sequencing, and pathway analysis on predicted and va

65 aPC generation, analyzed gene expression by RNA sequencing, and performed immunoblotting and ELISA.

66 Samples underwent small RNA sequencing, and read counts were normalized and filt

67 normal lung biopsies, using immunostaining, RNA sequencing, and RT-PCR.

68 MCH neurons after long-term withdrawal using RNA-sequencing, and performed functional assessment usin

69 ) and explored the molecular mechanism using RNA-sequencing assay.

70 We performed RNA sequencing at days 8 and 28 on SACC-PHHs, either HBV

71 Here we describe barcodelet single-cell RNA sequencing (barRNA-seq), which enables systematic ex

72 Integration with RNA-Sequencing-based developmental mRNA-abundance profil

73 annotations; (2) a large-scale M. truncatula RNA-sequencing-based gene expression atlas integrated wi

74 The Plant Single Cell RNA-Sequencing Browser, with its comprehensive visualiza

75 Full transcript length single-cell RNA sequencing characterized the transcriptomes of 544 i

76 me-wide transcriptome analysis determined by RNA-sequencing combined with chromatin immunoprecipitati

77 port for the first time in-depth single-cell RNA sequencing, combined with spatial transcriptomics an

78 RNA sequencing conducted on PCs demonstrated that LCDD L

79 Single-cell RNA sequencing confirms the accumulation of T cells and

80 Using single-cell RNA sequencing coupled with high-resolution in situ hybr

81 ioma therapy using live imaging, single cell RNA sequencing, CRISPR interference, and pharmacology.

82 able large-scale datasets, including DNA and RNA sequence data, proteomics and metabolomics data, to

83 thematosus lesional skin microarray data and RNA sequencing data from SLE keratinocytes identified re

84 s of EC specificity, we analyzed single-cell RNA sequencing data from tissue-specific mouse ECs gener

85 We used single-cell RNA sequencing data generated by the Tabula Muris consor

86 Bioinformatics analysis of RNA sequencing data identifies non-productive splicing e

87 of medically important mites based on total RNA sequencing data sets generated in this study as well

88 we integrated NDD genetics with single-cell RNA sequencing data to assess coexpression enrichment pa

89 re analyzed and categorized with single-cell RNA sequencing data to perform cluster identification.

90 the integrative analysis of our single-cell RNA sequencing data with publicly available data from ge

91 Using our previously obtained RNA sequencing data, we found that AHR mediates the expr

92 scriptomic landscape of single cell and bulk RNA sequencing data.

93 ization of mitochondrial genomes and related RNA sequencing data.

94 ics profile, such as copy number changes and RNA-sequence data along with their survival response.

95 RNA-sequencing data analysis shows that Lbs are expresse

96 s with human idiopathic ASD postmortem brain RNA-sequencing data and found significant enrichment of

97 user-friendly platform that can process raw RNA-sequencing data from any organism with an existing r

98 itative PCR and also analyzed in single-cell RNA-sequencing data from control and IPF lungs.Measureme

99 viral entry-associated genes in single-cell RNA-sequencing data from multiple tissues from healthy h

100 In total, RNA-sequencing data of 332 samples were used for this an

101 By integrating single-cell RNA-sequencing data of mouse hearts at multiple postnata

102 Using simulated and experimental RNA-sequencing data sets, we show that GSECA provides hi

103 We then collected RNA-sequencing data to assess how organismal thermal str

104 DNA- and RNA-sequencing data were integrated to assess the effect

105 r cells, process and analyze high-throughput RNA-sequencing data, and define sets of genes that accur

106 ession from different tissues in single-cell RNA-sequencing data.

107 computational demultiplexing of single-cell RNA-sequencing data.

108 functional studies and human single-cell (sc)RNA-sequencing data.

109 whereas analysis of a gain-of-function ETV1 RNA sequencing dataset from neonatal rat ventricular myo

110 CaSpER increases the utility of RNA-sequencing datasets and complements other tools for

111 tionally, through integrating proteomics and RNA-sequencing datasets, we identified a subset of genes

112 Bulk and single-cell RNA sequencing demonstrated that different degrees of ac

113 RNA sequencing demonstrated the presence of multiple miR

114 RNA-sequencing demonstrated Acod1 (Aconitate decarboxyla

115 nuclei sequencing revealed that conventional RNA sequencing did not detect up to two-thirds of cell-t

116 Here, we performed Direct RNA Sequencing (DRS) using the latest Oxford Nanopore Te

117 and quantify the genes and transcripts in an RNA sequencing experiment.

118 lying question for virtually all single-cell RNA sequencing experiments is how to allocate the limite

119 ulates 42 SCZ-related genes in knockdown and RNA-sequencing experiments of human neural progenitor ce

120 f samples typically generated by single-cell RNA-sequencing experiments.

121 nt component analysis to a compendium of 108 RNA-sequencing expression profiles from two S. aureus cl

122 sively investigate whole-genome sequence and RNA sequence from human bronchial epithelial cells to di

123 Here, we integrate SVs with RNA-sequencing from human post-mortem brains to quantify

124 RNA-sequencing from post-mortem AD human brains shows do

125 Single-cell RNA sequencing has emerged as a powerful tool for charac

126 ional cellular analyses, such as single-cell RNA sequencing, has enabled detailed characterization of

127 Advances in small RNA sequencing have revealed the enormous diversity of s

128 Recent advances in single-cell RNA sequencing have revealed transcriptional differences

129 Single-cell RNA sequencing identified 16 cell clusters, including ga

130 ured with full transcript length single-cell RNA sequencing identified each cell type.

131 Surprisingly, single-cell RNA-Sequencing implicated glia, not neurons, in this eff

132 Here, using single-cell RNA sequencing in human and mouse non-small-cell lung ca

133 Single-cell RNA sequencing in mouse spleen and human peripheral bloo

134 l sample multiplexing method for single-cell RNA sequencing in which fixed cells are chemically label

135 Advances in single-cell RNA-sequencing make it possible to infer latent developm

136 ith further validation, ColoType by targeted RNA-sequencing, may enable clinical application of CMS s

137 s fluctuation analysis with population-based RNA sequencing (MemorySeq) for identifying genes transcr

138 Integrated RNA sequencing, metabolomics, and molecular analyses sho

139 We addressed this using RNA sequencing metagenomics(4-6) of placental samples fr

140 e candidates, based on whole-genome and iPSC RNA sequencing of a HLHS family-trio.

141 We performed a gene expression study using RNA sequencing of CNON cells from 111 control subjects a

142 transcript abundances were determined using RNA sequencing of developing wood tissues from upright t

143 gene expression associated with CUD by using RNA sequencing of dorsal-lateral prefrontal cortex neuro

144 Single-cell RNA sequencing of five TNBCs revealed two cancer-associa

145 RNA sequencing of freshly isolated CTCs from breast canc

146 We performed single-cell RNA sequencing of human eyelid skin from healthy individ

147 ecording, biocytin staining, and single-cell RNA sequencing of more than 1,300 neurons in adult mouse

148 RNA sequencing of morphologically distinct macrophages i

149 so analyzed data from a study of single-cell RNA sequencing of mouse cortical neurons.

150 In this report, we present single-cell RNA sequencing of over 38,000 cells from mouse digit tip

151 ng disease.Methods: We performed single-cell RNA sequencing of sputum cells from nine subjects with C

152 Single-cell RNA sequencing of the immune compartment showed that IL8

153 eurogenesis, we have carried out single cell RNA sequencing of the zebrafish hindbrain at three diffe

154 Single-cell RNA sequencing of vascular cells in mice suggested that

155 Through RNA-sequencing of 100,987 individual cells from 7 primar

156 Single cell RNA-sequencing of activated B cells and construction of

157 RNA-sequencing of axillary nodes from StMSI1-OE and StBM

158 osteoclast ablation by denosumab (DMAb) and RNA-sequencing of bone biopsies from postmenopausal wome

159 RNA-sequencing of DAC-treated tumors revealed increased

160 Single-cell RNA-sequencing of eight post-treatment samples demonstra

161 RNA-sequencing of MBC subsets from multiple tissues reve

162 ouse brain in utero, followed by single-cell RNA-sequencing of perturbed cells in the postnatal brain

163 Single-cell RNA-sequencing of plaque immune cells revealed that unli

164 RNA-sequencing of the hippocampus revealed that stress i

165 RNA sequencing on anterior and posterior tissues isolate

166 tudied in an unbiased manner via single-cell RNA sequencing on HLA-DR(+) cells sorted from human lung

167 tophagy pathway, and apoptosis-and performed RNA sequencing on isogenic lines to identify differentia

168 We performed small-RNA sequencing on liver of Tsc1-knockout mice, and found

169 RNA sequencing on the intratumoral CD8(+) T cells identi

170 rtant knowledge gaps, we perform single-cell RNA sequencing on two-day old schistosomula of Schistoso

171 ssion problem, and have generated high depth RNA-sequencing on FUS mutants in parallel to FUS knockou

172 RNA sequencing performed on the same heart samples prove

173 , and independent datasets of small and long RNA sequencing pinpointed immune cell subsets pivotal to

174 ased proteomics with next-generation DNA and RNA sequencing profiles tumors more comprehensively.

175 circulating T(FH) cell and activated B cell RNA-sequencing profiles identified highly coordinated tr

176 RNA sequencing profiling identified integrin-linked kina

177 and beta-catenin in hepatocytes, followed by RNA-sequencing profiling, allowed the identification of

178 y integrating CRISPR screens and single-cell RNA-sequencing profiling, we have uncovered transcriptio

179 side arms of H(1)/H(2) to be sealed into the RNA sequence-programmed "zipper lock" by controlled load

180 n-tissue-targeted or non-condition-optimized RNA-sequencing projects.

181 ocessing data from droplet-based single-cell RNA sequencing protocols is distinguishing barcodes asso

182 We innovated single-nucleus RNA-sequencing protocols and profiled more than 120,000

183 Single-nucleus RNA sequencing provides an alternative way to obtain tra

184 Single-cell RNA sequencing revealed a distinct gene expression signa

185 RNA sequencing revealed a role for mumR in regulating th

186 Single-cell RNA sequencing revealed remarkable similarity of transcr

187 Microarray analysis and single-cell RNA sequencing revealed that a number of cytokine-induci

188 tracing of mature adipocytes and single-cell RNA sequencing revealed that dermal adipocytes alter the

189 Single-cell RNA sequencing revealed that epidermal developmental pro

190 Mechanistically, RNA sequencing revealed that RvD1 induces a transcriptio

191 RNA-sequencing revealed differential expression of known

192 RNA-sequencing revealed extensive gene expression and AS

193 Single-cell RNA-sequencing revealed that Ang2 blocking rescued radia

194 a postrema cell atlas through single-nucleus RNA sequencing, revealing a few neuron types.

195 RNA sequencing reveals downregulation of several postrec

196 Tandem mass tag-pulse SILAC (TMT-pSILAC) and RNA sequencing reveals that each RBP controls a unique b

197 Single-cell RNA-sequencing, ribosome-associated mRNA profiling and c

198 of circRNAs in the p53 pathway, we analyzed RNA sequencing (RNA-seq) data from colorectal cancer cel

199 Previous analysis of RNA sequencing (RNA-seq) data from human naive pluripote

200 satisfactorily, especially with single-cell RNA sequencing (RNA-seq) data.

201 independent AD brain repositories using (1) RNA sequencing (RNA-seq) datasets and (2) DNA samples ex

202 Performing single-cell RNA sequencing (RNA-seq) of 179,632 cells across 23 tera

203 Current approaches to single-cell RNA sequencing (RNA-seq) provide only limited informatio

204 in the middle/inner ears utilizing otoscopy, RNA sequencing (RNA-seq), and histopathological analysis

205 Using single-cell and bulk RNA sequencing (RNA-seq), the authors compared DMD and c

206 As determined by RNA sequencing (RNA-Seq), this low amount of IgHC suffic

207 Whole-transcriptome sequencing by RNA sequencing (RNA-Seq), with appropriate bioinformatic

208 eumatoid arthritis to allow for longitudinal RNA sequencing (RNA-seq).

209 fluorescence activated cell sorting for bulk RNA sequencing (RNA-Seq).

210 genetically regulated expression solely from RNA-sequencing (RNA-seq) datasets.

211 RNA-sequencing (RNA-seq) enables global identification o

212 o, we compiled a metadataset composed of 876 RNA-sequencing (RNA-Seq) samples from five publicly avai

213 ogy, immunohistochemistry, and (single-cell) RNA sequencing; RNA and proteins were identified by imag

214 Here, we use RNA sequencing (RNAseq) to compare tissue from individua

215 d on four large datasets with a total of 226 RNA sequencing samples from S. spontaneum and Saccharum

216 RNA-sequencing screening coupled with gene silencing stu

217 RNA-sequencing screening for factors induced by activati

218 ion, we employed a droplet-based single-cell RNA sequencing (scRNA-seq) approach to systematically cl

219 tion of putative cell types from single-cell RNA sequencing (scRNA-seq) data.

220 The development of single-cell RNA sequencing (scRNA-seq) has allowed high-resolution a

221 Single-cell RNA sequencing (scRNA-seq) has enabled the simultaneous

222 Although single-cell RNA sequencing (scRNA-seq) has revolutionized studies of

223 Single-cell RNA sequencing (scRNA-Seq) indicated that SLC26A9 is pre

224 Single-cell RNA sequencing (scRNA-seq) is a popular and powerful tec

225 Progress in single-cell RNA sequencing (scRNA-seq) provides an opportunity to di

226 Single-cell RNA sequencing (scRNA-seq) technologies enable the study

227 Here, we employed single-cell RNA sequencing (scRNA-seq) to examine the immature postn

228 , integration site analysis, and single-cell RNA sequencing (scRNA-seq) to profile CD8(+) CAR-T cells

229 analytical approach by combining single-cell RNA sequencing (scRNA-seq) with Raman optical tweezers (

230 We performed single-cell RNA sequencing (scRNA-seq) with the clinically relevant

231 With the advent of single-cell RNA sequencing (scRNA-seq), it is in principle possible

232 Using single-cell RNA sequencing (scRNA-seq), we have identified a populat

233 ve become widely used to perform single-cell RNA sequencing (scRNA-seq).

234 Single-cell RNA-sequencing (scRNA-seq) allows us to dissect transcri

235 Using single-cell RNA-sequencing (scRNA-seq) and genetic reporter mice, we

236 o measure the similarity between single-cell RNA-sequencing (scRNA-seq) data are ubiquitous in bioinf

237 To process large-scale single-cell RNA-sequencing (scRNA-seq) data effectively without exce

238 we integrated recently published single-cell RNA-sequencing (scRNA-seq) data from 727 peripheral and

239 We analyzed previously generated single-cell RNA-sequencing (scRNA-seq) data of gastric corpus epithe

240 an, non-human primate, and mouse single-cell RNA-sequencing (scRNA-seq) datasets across health and di

241 Single-cell RNA-sequencing (scRNA-seq) enables high-throughput measu

242 Here, we applied single-cell RNA-sequencing (scRNA-seq) on >5,400 Toxoplasma in both

243 gy of blinding diseases, we used single-cell RNA-sequencing (scRNA-seq) to analyze the transcriptomes

244 Genome-wide RNA-sequencing (seq) studies reveal that BCL6 regulates

245 Consistently, single-cell RNA sequencing showed cerebral atherosclerosis associate

246 Single-cell RNA sequencing showed that SNP-IV induced stem-like gene

247 We performed small-RNA sequencing (smRNA-Seq) and quantitative proteomics o

248 Single-nucleus RNA sequencing (snRNA-seq) measures gene expression in i

249 , we performed droplet-based, single-nucleus RNA sequencing (snRNA-seq) of A1 across three developmen

250 udies show that PGC-1alpha binds to intronic RNA sequences, some of them controlling transcript level

251 oprocessor and further explore the substrate RNA sequence-structure relationship.

252 Although single-cell RNA sequencing studies have begun to provide compendia o

253 Finally, RNA sequencing studies of HEV-infected primary human hep

254 Chromatin immunoprecipitation sequencing and RNA sequencing studies of S180A knock-in cells demonstra

255 Recent RNA-sequencing studies have defined a molecular signatur

256 glioblastoma organoid models and single-cell RNA-sequencing technologies to tackle glioblastoma's het

257 However, most of the current 'RNA-sequencing' technologies produce a relatively short

258 Recently, Drop-seq single-cell RNA sequencing technology for measuring gene expression

259 measured serum levels of 2,083 miRNAs, using RNA sequencing technology, in fasting samples from the b

260 With the rapid development of single-cell RNA sequencing technology, it is possible to dissect cel

261 In particular, advances in RNA-Sequencing technology and analysis has led to a wave

262 Finally, we demonstrate, using RNA sequencing, that TDP-43 OE and KD cause similar chan

263 RNA editing generates modifications to the RNA sequences, thereby increasing protein diversity and

264 Here, we used RNA sequencing to analyse differentially expressed genes

265 We applied nanopore-based direct RNA sequencing to characterize the developmental polyade

266 We used single-cell RNA sequencing to characterize the transcriptome of midg

267 We use capped-nascent-RNA sequencing to efficiently capture bidirectional tran

268 We adapted nanopore direct RNA sequencing to examine RNA from a wild-type accession

269 First, we used single-cell RNA sequencing to generate a cellular landscape of basal

270 g ribosome affinity purification (TRAP) with RNA sequencing to identify molecular changes in spinal M

271 We used RNA sequencing to identify the ArlRS regulon, and found

272 mulus-to-cell-type mapping using single-cell RNA sequencing to identify the cellular substrates that

273 t/young adult males, we used next-generation RNA sequencing to investigate the gene expression profil

274 ural killer T (iNKT) cells using single-cell RNA sequencing to produce a comprehensive transcriptiona

275 We used single-cell RNA sequencing to profile human skeletal muscle tissues

276 subset of autism-iPSC cortical neurons were RNA-sequenced to reveal autism-specific signatures simil

277 e used crosslinking immunoprecipitation- and RNA-sequencing to identify the AGO1-mediated mechanisms

278 Here, we employed single-cell RNA-sequencing to interrogate aging-related changes in t

279 Here, we used single-cell RNA-sequencing to profile the blood of people with sepsi

280 Here, we compared the RNA-sequenced transcriptomes of ~100 laser captured micr

281 ng ribosome affinity purification (TRAP) and RNA sequencing, TRAP-seq, in larval zebrafish to identif

282 Single-cell RNA sequencing uncovered three epicardial subpopulations

283 RNA sequencing was performed on strains with deficient o

284 RNA sequencing was performed on transcriptomes isolated

285 within basal stem cells.Methods: Single-cell RNA sequencing was used to map epithelial cell types of

286 RNA sequencing was used to study the transcriptional pro

287 Molecular profiling (RNA sequencing) was used to identify enriched pathways a

288 a combination of untargeted metabolomics and RNA sequencing, we discovered a biosynthetic gene cluste

289 By custom single-cell RNA sequencing, we examine mosaicism with single-cell re

290 Using single-cell RNA sequencing, we found that in GA lesions IFN-gamma pr

291 Using allele-specific single-cell RNA sequencing, we here estimate the two noise component

292 Using single-cell RNA sequencing, we identified 33 transcriptomic clusters

293 Using bulk and single-cell RNA sequencing, we identify molecular changes in the epi

294 Here, using single-cell RNA sequencing, we profiled the transcriptomes of cells

295 Using nascent RNA sequencing, we show that an AS15 analogue triggers t

296 Using single-cell RNA sequencing, we show that these cells are largely act

297 Third, using single cell RNA-sequencing, we identify heterogeneity among adhesion

298 egrated droplet- and plate-based single-cell RNA sequencing were used in the murine, reversible, unil

299 ibutions of B cells via bulk and single-cell RNA sequencing, which demonstrate clonal expansion and u

300 of telomeres (ALT)], TERT mRNA expression by RNA-sequencing, whole-genome/exome sequencing, and clini