ライフサイエンスコーパス: single-cell analysis

1 tems for the development of technologies for single cell analysis.

2 at diversity requires the ability to perform single cell analysis.

3 sis provides a robust solution to label-free single cell analysis.

4 is a core challenge that is well suited for single cell analysis.

5 ion; an approach to surmount this problem is single cell analysis.

6 potential of this method for high-throughput single cell analysis.

7 potential for high-throughput and label-free single cell analysis.

8 re restricted, such as in vivo infections or single cell analysis.

9 e population of live cells through efficient single cell analysis.

10 tates, and their dynamics can be afforded by single cell analysis.

11 living cells would generate a step change in single-cell analysis.

12 formats can be cumbersome to parallelize for single-cell analysis.

13 le high-throughput capture of rare cells and single-cell analysis.

14 thods have spatial resolution inadequate for single-cell analysis.

15 analytical platforms frequently utilized for single-cell analysis.

16 encing methods have limitations that prevent single-cell analysis.

17 is developing as a means of multiparametric single-cell analysis.

18 ncer cells is a key capability that requires single-cell analysis.

19 representing a major step forward in dynamic single-cell analysis.

20 nterventional therapies based on multiplexed single-cell analysis.

21 moral subpopulations, which was confirmed by single-cell analysis.

22 significantly from what one would derive by single-cell analysis.

23 ll cycle-dependent component identified from single-cell analysis.

24 and Fas-mediated apoptosis as determined by single-cell analysis.

25 e more precise sample selection for advanced single-cell analysis.

26 ed data analysis with an example for spatial single-cell analysis.

27 is, holds potential for scalable multi-modal single-cell analysis.

28 omplement their lineage tracking system with single-cell analysis.

29 y the complexity and cost of high-throughput single-cell analysis.

30 hods to enhance computational efficiency for single-cell analysis.

31 a well-established tool for high-throughput single-cell analysis.

32 ave remained mysterious due to the limits of single-cell analysis.

33 ets accurately is essential to droplet-based single-cell analysis.

34 introduce Melissa (MEthyLation Inference for Single cell Analysis), a Bayesian hierarchical method to

35 combining padlock probe RNA labeling with a single-cell analysis, a new approach effectively capture

36 Exploiting the single-cell analysis abilities of this system, we demons

37 ur work provides a framework for comparative single-cell analysis across tissue regions and species.

38 hat incorporates several of the most popular single-cell analysis algorithms into a flexible pipeline

39 Single-cell analysis also demonstrates that OSNs adopt a

40 The single-cell analysis also revealed that heteroplasmy in

41 Single-cell analysis also revealed that macrophage death

42 Recently, single cell analysis and cell-based reconstitution, amon

43 measurement techniques are being studied by single cell analysis and providing valuable insight into

44 ighlight the challenge posed by quantitative single cell analysis and the implications to performing

45 Here we use single cell analysis and time-lapse microscopy to identi

46 ed mass cytometry, a technique that combines single cell analysis and time-of-flight mass spectrometr

47 Using a combination of time-lapse in vivo single-cell analysis and Caenorhabditis elegans genetics

48 lar emphasis is placed on tools suitable for single-cell analysis and especially live-cell imaging ap

49 development of this technology will include single-cell analysis and function-based cell sorting cap

50 Our strategy of combining single-cell analysis and genetic approaches can be appli

51 Here, we use a combination of single-cell analysis and mathematical modeling to examin

52 ll genetic diseases, can be detected through single-cell analysis and next-generation sequencing.

53 may be useful for high-throughput screening, single-cell analysis and studies of cell-cell communicat

54 Recent experimental advances such as single-cell analysis and temporal phenotypic characteriz

55 Using quantitative single-cell analysis and time-lapse imaging, we show her

56 ng datasets that hold the key for label-free single-cell analysis and, consequently, for differentiat

57 s the prototypical assay for multi-parameter single cell analysis, and is essential in vaccine and bi

58 samples is required, including digital PCR, single-cell analysis, and cell-based drug screening.

59 ., brain disorders and cancers), plants, and single-cell analysis, and discuss both the benefits and

60 In this paper, we use time-lapse imaging, single-cell analysis, and embryo staining to comprehensi

61 Techniques that allow single cell analysis are gaining widespread attention, a

62 Existing methods are mainly based on single-cell analysis as in flow cytometric and microflui

63 How will data from the various types of single cell analysis be made cross-searchable?

64 nd understanding how they cooperate requires single-cell analysis, but current single-cell analytic m

65 rophoresis (CE) is a promising technique for single-cell analysis, but its use in biological studies

66 Single cell analysis by capillary electrophoresis (aka c

67 Single-cell analysis by cell enrichment and immunophenot

68 iIACS serves as an integral part of holistic single-cell analysis by enabling direct links between po

69 ss the opportunities that microfluidic based single cell analysis can bring into the drug discovery p

70 posed of ECs of varying morphology, and that single-cell analysis can be used to quantitate alteratio

71 Thus, spatially resolved, single-cell analysis can characterize intratumour phenot

72 y applied to any malignancy, illustrates how single-cell analysis can identify subpopulations of ther

73 Single-cell analysis captures the heterogeneity of T-cel

74 tions that require high sensitivity, such as single-cell analysis (Chen et al.

75 g an efficient, high-throughput microfluidic single-cell analysis chip in combination with high-resol

76 Single-cell analysis confirmed monostable and bistable-l

77 Real-time luminescence measurements and single-cell analysis demonstrate that the opportunistic

78 Single cell analysis demonstrated that intracellular GSH

79 More importantly, LA-ICP-MS single cell analysis demonstrated that the cells retaine

80 g, proteomic profiling of autoantibodies and single-cell analysis demonstrated highly diversified ASC

81 Single-cell analysis demonstrates that the same DNA-reac

82 eSplice is tailored to the unique demands of single cell analysis, detecting isoform usage difference

83 his fiber optic bridge was integrated into a single cell analysis device to detect an intact cell jus

84 idics is emerging as a powerful platform for single cell analysis, directed evolution of enzymes, and

85 cularly attractive microfluidic platform for single cell analysis due to their scalability, cell capt

86 Single-cell analysis exposed the heterogeneity of differ

87 ofluidic devices have several advantages for single cell analysis, few papers have actually demonstra

88 Here, we report single-cell analysis for low abundance cells enabled by

89 Here, using a modified method of single-cell analysis for somatic L1 insertions, we studi

90 Single cell analysis further identifies an intracellular

91 a fundamental principle of cell biology, but single cell analysis has been beyond the capability of '

92 Single-cell analysis has become a state-of-art approach

93 Single-cell analysis has developed into a key topic in c

94 Single-cell analysis has revealed that human epidermal s

95 Single-cell analysis has revealed that transcription is

96 Single-cell analysis has shown that heterogeneity in the

97 Thus, single-cell analysis has the potential to augment tradit

98 microfluidics, imaging, and high-throughput single-cell analysis, however, have led to a flurry of w

99 Microfluidic systems show great promise for single-cell analysis; however, as these technologies mat

100 lly isolated compartments can be applied for single-cell analysis; however, to investigate encapsulat

101 Spatially resolved, single-cell analysis identified the phenotypes of tumour

102 Integrated single-cell analysis identifies arterial ECs as refracto

103 of human distal lung organoids, coupled with single-cell analysis, identifies functional heterogeneit

104 Using single cell analysis in HeLa cells, we show that the CDC

105 del proposed by Cheng et al. using real-time single cell analysis in macrophages expressing EGFP-tagg

106 Bioaerosol mass spectrometry (BAMS) performs single-cell analysis in real time.

107 ug accumulation in single cells, termed same-single-cell analysis in the accumulation mode (SASCA-A).

108 ach is experimentally more convenient than a single-cell analysis in this case.

109 sulted in a loss of tolerance; hybridoma and single-cell analysis indicated an FcgammaRIIB-independen

110 Single-cell analysis indicated that deleting p18 gene fa

111 Single-cell analysis indicated that individual AMG posse

112 Single cell analysis is an active research area with the

113 In these and similar cases, our method of single cell analysis is critical for elucidating the div

114 Single cell analysis is required to understand cellular

115 As described in this review, single cell analysis is the new frontier in omics, and s

116 Single-cell analysis is a rapidly evolving approach to c

117 Multivariate single-cell analysis is a starting point for identifying

118 retion and MHC tetramer staining assays, but single-cell analysis is difficult or impossible using th

119 Single-cell analysis is essential to understand the phys

120 Single-cell analysis is revealing increasing diversity i

121 may yield insights into tumor heterogeneity; single cell analysis may provide a key foundation for th

122 water-in-oil droplet-based microfluidics for single cell analysis met problems.

123 loped a fluorescent cell cycle indicator and single cell analysis method, called CycleTrak, which all

124 Rapid progress in single-cell analysis methods allow for exploration of ce

125 rm FLOW-MAP analysis side by side with other single-cell analysis methods, to illustrate when it is a

126 t dPCR provides a new tool in the arsenal of single-cell analysis methods, with a unique combination

127 utation data that are too sparse for current single-cell analysis methods.

128 Single-cell analysis now suggests that cytokine signalin

129 system is a versatile tool to provide rapid single cell analysis of broad types of patient cell samp

130 Simultaneous single cell analysis of changes in GSH content and ROS f

131 ed co-immunoprecipitations in P. aeruginosa, single cell analysis of contact-dependent transcriptiona

132 Here, we performed a single cell analysis of different in vitro NMP populatio

133 Single cell analysis of egr1 induction and of phospho-ER

134 Single cell analysis of mouse heart valve cells was used

135 find broad applications in studies involving single cell analysis of PKA activity.

136 Using flow cytometry-based single cell analysis of protein phosphorylation, we demo

137 This method, implemented in SCAN-SNV (Single Cell ANalysis of SNVs), substantially improves th

138 Successful single cell analysis of the glyceraldehyde 3 phosphate d

139 that nanosensor arrays can enable real-time, single-cell analysis of a broad range of protein product

140 Our results demonstrate that single-cell analysis of a developing organ coupled with

141 The ability to perform quantitative single-cell analysis of alternative splicing and high-th

142 Single-cell analysis of bacteria and subcellular protein

143 Single-cell analysis of BXD2 T1 B cells revealed that If

144 In contrast, single-cell analysis of CD4(+) T cells demonstrates seve

145 We tested this prediction with single-cell analysis of combat between T6SS-wielding Aci

146 Here, we provide a quantitative single-cell analysis of commitment dynamics during the m

147 Single-cell analysis of DAM in Tg-AD and triggering rece

148 By single-cell analysis of dedifferentiating enterocytes, w

149 Single-cell analysis of DNA accessibility provides new i

150 Our single-cell analysis of drug action illustrates the stre

151 wild-type mice after challenge with MOG35-55 Single-cell analysis of encephalitogenic T cells using t

152 an now be monitored using mass spectrometry, single-cell analysis of flow cytometry, or fluorescent r

153 Identifying the underlying factors requires single-cell analysis of function and proliferation.

154 A single-cell analysis of gene expression within this popu

155 Single-cell analysis of genome architecture has been ach

156 Here we report a comprehensive single-cell analysis of immune cell populations in colit

157 We performed a single-cell analysis of immunoglobulin heavy and light c

158 Further, single-cell analysis of in vivo and in vitro cardiomyocy

159 Finally, we use single-cell analysis of intersegmental vessels undergoin

160 Finally, using single-cell analysis of intracellular cytokine accumulat

161 Using single-cell analysis of intracellular IFN-gamma producti

162 Through single-cell analysis of intracellular IFN-gamma producti

163 Single-cell analysis of intrinsic renal cells and infilt

164 Single-cell analysis of KRT5(+) cells in basal organoids

165 Lastly, single-cell analysis of longitudinal samples reveals und

166 (MAARS) provides automatic and quantitative single-cell analysis of mitotic progression on an open-s

167 In single-cell analysis of mononuclear phagocytes from CLM

168 c modifications that can facilitate detailed single-cell analysis of neural circuits by linking genet

169 g disease progression and can be detected by single-cell analysis of peripheral blood.

170 f the unfolded protein stress response, with single-cell analysis of primary bone marrow revealing pe

171 Here, we used serial, time-dependent, single-cell analysis of primary human T cells to resolve

172 Thus, single-cell analysis of prostate CTCs reveals heterogene

173 By employing single-cell analysis of protein-folding and clathrin-med

174 n in The Cancer Genome Atlas complemented by single-cell analysis of six independent tumors.

175 Single-cell analysis of somatic mutation enables tracing

176 By performing a combined single-cell analysis of Sox13, Maf, and Rorc knockout mi

177 Here, we report multivariate single-cell analysis of such networks in organoids and o

178 ferentiation are further highlighted through single-cell analysis of testosterone-suppressed transfem

179 Single-cell analysis of the adult ovary has identified f

180 rage total cellular content as determined by single-cell analysis of the corresponding cell types.

181 nsparency) of this tissue, here we present a single-cell analysis of the developing lens, in a transg

182 irradiation is a powerful tool for real-time single-cell analysis of the DNA damage response (DDR).

183 Single-cell analysis of the motility of the A(-)S(+) par

184 n sheaths than those from the cortex(2), and single-cell analysis of the mouse central nervous system

185 Single-cell analysis of the TCR alpha and beta chains sh

186 barcoding method that allows a simultaneous single-cell analysis of the tumor, non-involved lung, an

187 spermidine requirement in biofilm formation, single-cell analysis of this mutant indicated reduced ex

188 Single-cell analysis of tissues of the central nervous s

189 Here we propose SCATS (Single-Cell Analysis of Transcript Splicing) for differe

190 Using this technology, we demonstrate single-cell analysis of tumor cell response to the chemo

191 ent in microfluidics that are aimed at total single cell analysis on chip, that is, from an individua

192 ply many of the recently developed tools for single-cell analysis on flow cytometry data, as well.

193 In single-cell analysis, OSNs lacking CFAP69 showed faster

194 results further emphasize the advantages of single cell analysis over studies of population averages

195 bust, reproducible, and highly interpretable single-cell analysis platform that couples dominant patt

196 Towards the goal of a fully integrated single-cell analysis platform, we utilize a commercial c

197 cancer have led to the realization of novel single cell analysis platforms focused on circulating tu

198 kinase activity assays, flow cytometry based single-cell analysis, protein microarrays and interactio

199 Single-cell analysis provides information critical to un

200 Single-cell analysis provides insights into cellular het

201 que set of intrinsic cellular biomarkers for single-cell analysis, providing better differentiation o

202 Most current methods in single-cell analysis rely on cell manipulation, potentia

203 d in quantitative proteomics, in particular, single cell analysis requiring high sensitivity and ultr

204 Single-cell analysis revealed a strict correspondence be

205 Single-cell analysis revealed a strong heterogeneity of

206 Single-cell analysis revealed a substrate for arrhythmog

207 In vivo single-cell analysis revealed a time-dependent evolution

208 Data from our single-cell analysis revealed an epigenetic heterogeneit

209 Single-cell analysis revealed an important bacterial str

210 Single-cell analysis revealed heterogeneity in expressio

211 Furthermore, quantitative single-cell analysis revealed that anisomycin-induced JN

212 Single-cell analysis revealed that EPHA4 and its EFN bin

213 Single-cell analysis revealed that iHSCs derived under o

214 Single-cell analysis revealed that nuclear accumulation

215 Furthermore, single-cell analysis revealed that the Thaumarchaeota in

216 Single-cell analysis revealed that these neurons project

217 Single-cell analysis revealed that, in vivo, proliferati

218 Single-cell analysis reveals a specific shift from highl

219 Single-cell analysis reveals altered constituents of bot

220 Single-cell analysis reveals aspects of cellular physiol

221 Our method for single-cell analysis reveals aspects of epigenetic heter

222 Our single-cell analysis reveals histone H3 lysine-27 acetyl

223 Furthermore, single-cell analysis reveals independent behavior of ind

224 Single-cell analysis reveals that memory is manifested b

225 view that bacterial populations are clonal, single-cell analysis reveals that phenotypic heterogenei

226 Also, single-cell analysis reveals that the CCR10(+) ILC2 subs

227 tep, as it had been previously proposed, our single-cell analysis reveals the presence of at least tw

228 Single-cell analysis sheds light on immune response to C

229 Single cell analysis showed that Nanog-negative cells di

230 IL-3 acted directly on progenitor cells; single cell analysis showed that short-term exposure of

231 Single-cell analysis showed that ERK is activated in an

232 Single-cell analysis showed that transgene-derived HSV-T

233 Furthermore, single cell analysis shows that half of CLP and 90% of F

234 Single cell analysis shows that NF-kappaB signalling dyn

235 Single cell analysis shows that the allelic choice of Xi

236 Here we combine massively parallel single-cell analysis, single-molecule fluorescence in si

237 mmunities that are otherwise not amenable to single-cell analysis, such as natural microbiota.

238 We have developed a new single cell analysis system comprising millions of bundl

239 Single-cell analysis techniques are promising tools for

240 Using multiparameter single-cell analysis techniques, we explored the heterog

241 Advances in single-cell analysis technologies are providing novel in

242 Recent single-cell analysis technologies offer an unprecedented

243 High-throughput single-cell analysis technologies produce an abundance o

244 describe advances made using transformative single-cell analysis technologies, especially in relatio

245 chnology for high-dimensional multiparameter single cell analysis that overcomes many limitations of

246 We furthermore show by population and single-cell analysis that growth varies during an unpert

247 ic device, a scalable platform for long-term single-cell analysis that is widely used in the field.

248 To demonstrate in-depth high throughput single cell analysis, the platform was applied to measur

249 optive transfer protocol in combination with single cell analysis to define the complementarity deter

250 receptor signaling specificity, we utilized single cell analysis to determine the cellular distribut

251 Here, we use deep single cell analysis to resolve fate splits and molecula

252 Here, we used single cell analysis to resolve the gene expression prof

253 These results leverage single cell analysis to reveal that the interaction betw

254 We performed a single-cell analysis to better characterize the regulati

255 tracked during inflammatory responses using single-cell analysis to define functional attributes.

256 Here, we used single-cell analysis to dissect the mechanisms underlyin

257 Here we use single-cell analysis to elucidate the cell types, develo

258 We performed in-depth single-cell analysis to examine the distribution of VIFs

259 Herein, we used single-cell analysis to explore the diversity of gene ex

260 We used fluorescent single-cell analysis to identify Salmonella persisters d

261 However, attempts to harness array-CGH for single-cell analysis to provide improved resolution have

262 ations, time-lapse live cell microscopy, and single-cell analysis to show that fa metrics may bias ou

263 Here we combine live-cell imaging and single-cell analysis to show that increased dosage of ch

264 We have also used single-cell analysis to study cases with coexistent tran

265 nsus is freely available through our updated single-cell analysis toolkit, Monocle 2.

266 Lack of sensitive single-cell analysis tools has limited the characterizat

267 inspired the development of high-dimensional single-cell analysis tools to comprehensively characteri

268 ow, which utilizes existing high-dimensional single-cell analysis tools to reveal cellular heterogene

269 Tools for Single Cell Analysis (TSCAN) is a software tool develope

270 ances are consistent with previous work, and single-cell analysis uniquely reveals single-cell hetero

271 spheres can be retrieved and dissociated for single-cell analysis using a custom 96-gene panel to pro

272 cular and recurring chromosome combinations, single-cell analysis using AneuFinder reveals copy numbe

273 We combined transcriptome analysis with single-cell analysis using fibroblasts from CHH patients

274 ntibody is used for cell tagging followed by single-cell analysis using inductively coupled plasma ma

275 BH3 profiling is a functional single-cell analysis using synthetic BCL-2 BH3 domain-li

276 ization of Wnt proteins can also be used for single-cell analysis using Wnt-coated microbeads (12-18

277 irculating progenitors, together with RT-PCR single-cell analysis, was used to evaluate and compare m

278 By single-cell analysis we demonstrate that these inhibitor

279 By single-cell analysis, we demonstrate that profound funct

280 , correlative light electron microscopy, and single-cell analysis, we found that after infection, a p

281 By live-cell microscopy and single-cell analysis, we found that foci dissolution rat

282 Using single-cell analysis, we found that when caspase activit

283 Using digital single-cell analysis, we identified a cellular subdomain

284 To adapt Hi-C to single-cell analysis, we modified the protocol to includ

285 With our approach for single-cell analysis, we observed SP and NSP cells at bo

286 e secondary ion mass spectrometry (nanoSIMS) single-cell analysis, we quantified the temperature sens

287 Using single-cell analysis, we show that intracellular L. pneu

288 With single-cell analysis, we show that mouse trunk neural cr

289 By utilizing high-throughput single-cell analysis, we showed that Foxp3(+)CD4(+) peri

290 Here, using single-cell analysis, we unexpectedly found that cyclin

291 nd chemoattractants that were identified via single-cell analysis, were verified as macrophage-depend

292 ce coatings, demonstrating the importance of single cell analysis when studying NP-cell interactions.

293 vides the tools necessary for multiparameter single cell analysis which will be critical for understa

294 o enable quantitative time-lapse imaging and single-cell analysis, which would be useful for other mi

295 the chemical heterogeneity uncovered by the single-cell analysis while offering the ability to perfo

296 SERS) has been increasingly investigated for single cell analysis with its ability to provide informa

297 metric and magnetophoretic methods; however, single cell analysis with the magnetophoretic mobility m

298 Here we couple mass-cytometry-based single-cell analysis with overexpression of tagged signa

299 Comparative single-cell analysis with pre- and post-implantation pri

300 Here, we showed that single-cell analysis with time course mass cytometry pro