ライフサイエンスコーパス: single cell

1 that may be simultaneously produced within a single cell.

2 nes miR-200c/141, miR-200b/a/429 and CDH1 in single cells.

3 at allows us to first image and then process single cells.

4 high-throughput measurement (and sorting) of single cells.

5 ne expression with phenotype at the level of single cells.

6 s a proxy for the kinase activity in living, single cells.

7 al networks to predict methylation states in single cells.

8 ghput platforms to mechanically characterize single cells.

9 antitative expression of multiple markers on single cells.

10 ork for understanding resistance dynamics in single cells.

11 l and transcriptional phenotypes in the same single cells.

12 Of 11,499 microrafts possessing a single cell, 220 microrafts were identified as possessin

13 This prediction is also confirmed; single cell ablations of DD04 or DD05 specifically affec

14 mechanical stimulation with a hydrogel, and single cells altered protein concentrations dependent on

15 "Dust" is formed by scattered single cells alternating with macrophages.

16 me and transcriptome profiling (particularly single cell analyses) are providing novel insights into

17 High-resolution single-molecule and single-cell analyses demonstrate that quiescent MuSCs ex

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

19 Single cell analysis further identifies an intracellular

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

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

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

23 Single-cell analysis also revealed that macrophage death

24 Single-cell analysis is essential to understand the phys

25 Single-cell analysis revealed that these neurons project

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

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

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

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

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

31 s in mice and humans, obtained by sequencing single cells and clones derived from primary fibroblasts

32 low modulation of mitochondrial functions in single cells and defined cell regions.

33 Sequencing and analysis of single cells and metagenomes resulted in four novel geno

34 ent encoded in the activity dynamics of both single cells and superficial neuropil distributed across

35 e of alterations in mechanical properties of single cells and their nuclei as critical drivers for th

36 sters, incapable of separating clusters from single cells and/or cause cluster damage or dissociation

37 Single-cell and gene-specific analyses revealed that, du

38 croenvironment) evolution/diversity with new single-cell and liquid biopsy technologies.

39 Using single-cell and single-molecule force measurements, we f

40 Moreover, this single-cell approach provides a better understanding of

41 Using in vivo single-cell approaches (allele-specific RNAseq, nascent

42 ulk media, to imaging biological tissues and single cells at the micro scale, and, ultimately, to cha

43 (Drosha and/or Dicer) deficient samples and single cells (at both embryonic and adult stage).

44 itative measurement and selective sorting of single cells based on the uptake of radiolabeled small m

45 We developed a single cell-based experimental system from Arabidopsis (

46 re reinforced by protein-protein binding and single cell-based flagellar motor switching analyses.

47 high-throughput sequencing, cell sorting and single cell biology.

48 this end, we present a rapid and integrated single-cell biosensing platform, termed dropFAST, for ba

49 8 phosphorylation events can be induced in a single cell but on different alleles, giving rise to H3S

50 a multicellular slug is known to result from single-cell chemotaxis towards emitted pulses of cyclic

51 Single-cell chromatin accessibility can guide prospectiv

52 However, the accuracy of single cell classification by these features remains lim

53 s, machine-learning algorithms achieve blind single cell classification with up to 95% accuracy.

54 lated and deposited from a fusion mixture as single-cell clones via FACS.

55 Here, a single cell cloning revealed that HepAD38 cells, a widel

56 KEY MESSAGE: We have successfully produced single-cell colonies of C. merolae mutants, lacking the

57 ; expanded use of model organisms; and a new single-cell combinatorial indexing RNA sequencing approa

58 suggests a highly unstable genetic state in single cells concomitant with their transition to hemato

59 Microprobe CE-ESI-MS of <0.02% of the single-cell content allowed us to detect approximately 2

60 alyzed by custom MATLAB scripts that segment single-cell contours and extract quantitative metrics.

61 ssue contractile responses were confirmed by single-cell contraction using magnetic twisting cytometr

62 ional and mutational pathway assessment of a single cell could be of significant value for dissecting

63 dardize holograms for the purpose of kinetic single cell cytometry.

64 ore importantly, validated quantitatively by single-cell data analysis of a synthetic gene circuit in

65 However, working with single-cell data presents major challenges, such as zero

66 in pipelines for quantifying and extracting single-cell data, mean that high-throughput systematic a

67 Using bulk and single-cell data, we find that samples from the same tum

68 onse pathway were carefully studied based on single-cell data.

69 es cell migration and invasion but increases single cell detachment from the spheroids.

70 s problem, we developed a highly multiplexed single-cell DNA sequencing approach to trace the metasta

71 indered by technical challenges in isolating single cells during genome preparation.

72 need to be addressed to enable their use for single-cell dynamic tracking of metabolites and ions in

73 viours of a toggle switch across scales from single-cell dynamics to population structure and to spat

74 In an open microfluidic device adapted for single-cell electrophoresis, we perform 100s to 1000s of

75 ure cellular differentiation states based on single cell entropy and predict cell differentiation lin

76 contains diverse neuronal types, yet we lack single-cell epigenomic assays that are able to identify

77 positive bacterium Bacillus subtilis and the single-celled eukaryote Saccharomyces cerevisiae.

78 Using single cell experimental data and the developed method,

79 Single cell experimental techniques reveal transcriptomi

80 reconstructs developmental trajectories from single cell experiments.

81 As root hairs are single-cell extensions of the root epidermis and the pri

82 Single-cell features such as the irregularity of spiking

83 Using single-cell flow cytometry and single-molecule RNA-FISH

84 solate, fragment, and barcode the genomes of single cells, followed by Illumina sequencing of pooled

85 Using AFM-based single-cell force spectroscopy, we investigated the inte

86 Here we combined single-cell FRET measurements with analysis based on the

87 g to their capability to grab and separate a single cell from a heterogeneous cell sample and to meas

88 We test these algorithms using single cells from Etv2-EYFP transgenic mouse embryos and

89 his method, we carried out RNA-seq on 20,424 single cells from postnatal day 1 mouse kidneys, compari

90 Drosophila melanogaster embryo delaminate as single cells from the embryonic epidermis to give rise t

91 (RNA, methylated DNA or open chromatin) in a single cell, furthermore, provides insights into the cel

92 Single-cell gene expression analysis of B6 Ifnb(+/+) ver

93 ut immunophenotypic screens with large-scale single-cell gene expression analysis to define the heter

94 Single-cell gene expression studies promise to reveal ra

95 Single-cell genome sequencing has proven valuable for th

96 The application of single-cell genome sequencing to large cell populations

97 viral genomes from cultured organisms, (ii) single cell genomes (SCG) and genomes from metagenomes (

98 Mutation analysis in single-cell genomes is prone to artifacts associated wit

99 We demonstrated the ability to sequence single-cell genomes with error rates as low as 10(-8) an

100 s by mapping metagenomic sequence reads onto single-cell genomes.

101 f functional subnetwork modules within these single-cell genomic networks.

102 ovide an unprecedented view of metastasis at single-cell genomic resolution.

103 Here we present single-cell genomic sequencing (SiC-seq), which uses dro

104 Single cell genomics (SCG) are promising tools to retrie

105 re, we review advances in synthetic biology, single cell genomics, and multiscale modeling, which, wh

106 Although amplification methods facilitate single-cell genomics and transcriptomics, the characteri

107 of humans and other multicellular organisms.Single-cell genomics can be used to study uncultured mic

108 rate the unique and exciting advantages that single-cell genomics offers over metagenomics, both now

109 Single-cell genomics offers powerful tools for studying

110 Using metagenomics, single-cell genomics, and metatranscriptomic analyses, w

111 or standardized somatic-mutation analysis in single-cell genomics.

112 Thus, the ability to measure DNAme in single cells has the potential to make important contrib

113 st to neurite self-avoidance, which requires single-cell identity mediated by Pcdh diversity, a singl

114 high-content screening based on multivariate single-cell imaging has been proven effective in drug di

115 The MERs are for segmenting each single cell in the population.

116 We found that single cells in both PMd and PMv encode the kinematics o

117 tools for studying the actin cytoskeleton in single cells in culture, tissues, and multicellular orga

118 o characterize the chromatin organization of single cells in heterogeneous cellular mixtures.

119 luidic platform to analyze a large number of single cells in parallel.

120 number of proteins that can be quantified in single cells in situ impede advances in our deep underst

121 The encapsulation of single cells in tunable hydrogels should find use in a v

122 Finally, by inducing senescence in single cells in vivo in the liver, we demonstrate that t

123 e can be present at thousands of copies in a single cell (in contrast to two copies of nuclear chromo

124 A few existing methods can extract single-cell information from radioactive decays, but the

125 feature of Stentor is its incredible size: a single cell is 1 mm long.

126 ity to quantify differentiation potential of single cells is a task of critical importance.

127 We combined single-cell laser axotomy with time-lapse imaging to stu

128 age microscopic viscosity in vivo, both on a single cell level and in connecting tissues of subcutane

129 measurement of viscosity and diffusion on a single cell level in vitro, the in vivo viscosity monito

130 dentify and quantify complex isoforms at the single cell level.

131 including the uptake of macromolecules at a single cell level.

132 nduced by estradiol in its signalling at the single cell level.

133 ific T cells or also alters responses at the single cell level.

134 rchaeal organism, grows exponentially at the single-cell level and maintains a narrow-size distributi

135 ted allergen-induced basophil responses at a single-cell level and suppressed CD23-mediated facilitat

136 el as observed by electroolfactogram and the single-cell level as observed by single-cell suction pip

137 ding a wide range of applications, requiring single-cell level co-administrations of multiple molecul

138 d acquisition of multiparametric data at the single-cell level for hundreds of cells simultaneously.

139 rent characteristics are interrelated at the single-cell level has been difficult because of the lack

140 owth, division, and chromosome dynamics at a single-cell level in Mycobacterium smegmatis (M. smegmat

141 f non-activated lymphocyte cell types at the single-cell level using refractive index (RI) tomography

142 etween clones, by RNA-sequencing, and at the single-cell level, by RNA-FISH, and is not attributable

143 tutorial for visualizing each dataset at the single-cell level, through the commonly used Integrated

144 the measurement of synaptic activity at the single-cell level, thus providing a fuller understanding

145 At the single-cell level, we found that not all episomes were u

146 ition, we quantify DMSP incorporation at the single-cell level, with DMSP-degrading bacteria containi

147 populations, interrogating 30 markers at the single-cell level.

148 pression levels and isoform diversity at the single-cell level.

149 matic way to study signaling pathways at the single-cell level.

150 re difficult to elucidate, especially at the single-cell level.

151 ed to these G1-like phase macrophages at the single-cell level.

152 d in vivo and in vitro at the population and single-cell level.

153 ents of the dynamics of kinase activity at a single-cell level.

154 epair activities can also be observed at the single-cell level.

155 Our assay reveals occupancy patterns at the single-cell level.

156 and alpha-synuclein in living neurons at the single-cell level.

157 esents a powerful new methodology to predict single cell lineage decisions by integrating high conten

158 Here we present CRISPR-UMI, a single-cell lineage-tracing methodology for pooled scree

159 e dynamics are thought to be widespread, and single-cell live imaging of gene expression has lead to

160 sisted bisulfite sequencing (liMAB-seq ) and single-cell MAB-seq (scMAB-seq), capable of profiling 5f

161 Herein, we use single-cell mass cytometry to dissect the effects of gra

162 This study combined single-cell mass cytometry with the multiplex analysis o

163 However, single-cell mass spectrometry technologies have not yet

164 a single study, with each sample containing single-cell measurement on 50 markers for more than hund

165 n approach for integrating multiple types of single cell measurements.

166 Here, we utilize the underlying single-cell measurements from conventional clinical inst

167 strain follows power-law rheology, enabling single-cell measurements of apparent elastic modulus, Ea

168 Here, using live single-cell measurements of p21 protein in proliferating

169 ers evaluate CBCs by making high-dimensional single-cell measurements of size and cytoplasmic and nuc

170 We demonstrated single-cell metabolomic profiling using rat alveolar mac

171 We evaluate DeepCpG on single-cell methylation data from five cell types genera

172 s of the salivary glands by using functional single-cell microengraving analysis.

173 This enables high-throughput and automated single-cell microscopy for a wide range of cell types an

174 Single-cell microscopy is a powerful tool for studying g

175 We use single-cell microscopy to parameterize a full cell-cycle

176 al cell invasion between two distinct modes: single-cell migration and the multicellular, strand-like

177 e alignment of traction stresses that permit single-cell migration.

178 nutrients, we sought to use root hairs as a single-cell model system to measure the impact of enviro

179 with recent advances in cancer genomics and single-cell molecular analysis, have facilitated the stu

180 Here we addressed these issues by developing single-cell multiple displacement amplification (SCMDA)

181 emixing calcium video data into estimates of single-cell neural activity.

182 ately 6000 species in phylum Apicomplexa are single-celled obligate intracellular parasites.

183 partments of tiny volumes that are ideal for single cell or single molecule assays, (ii) rapid mixing

184 Previous studies measured single-cell or fMRI responses and obtained only aggregat

185 g access to cortical neuronal populations at single-cell or single dendritic spine resolution in awak

186 nerative and morphogenetic processes in this single-celled organism, Stentor was never developed as a

187 In single-celled organisms such as fungi, centrosomes [know

188 antification of transcriptional variation in single cells, particularly within the same cell populati

189 les 3' mRNA counting of tens of thousands of single cells per sample.

190 We used genome-wide transcriptomics and single-cell phenotyping to explore the response kinetics

191 reveals that expression heterogeneity within single-cell populations is regulated.

192 A high-throughput single cell profiling method has been developed for matr

193 ly multiplexed profiling of markers within a single cell promise to overcome barriers to T-cell disco

194 Using protein counts sampled from single cell proteomics distributions to constrain fluxes

195 these motility modes resemble those of some single-celled protozoa, suggesting that underlying mecha

196 the trade-offs between anatomically-accurate single-cell recording techniques and high-density multi-

197 tial improvement over results obtained using single cell reduced representation bisulfite sequencing,

198 nome opens the door to molecular analysis of single-cell regeneration in Stentor.

199 come this problem, we have developed a novel Single Cell Representation Learning (SCRL) method based

200 lated endogenous JH receptor expression with single cell resolution.

201 ox1 reporter model we provide high-fidelity, single-cell resolution blueprints for Hmox1 expression t

202 t subtle changes in nuclear morphometrics at single-cell resolution by combining fluorescence imaging

203 The single-cell resolution enabled accurate quantification o

204 ata to determine host and donor chimerism at single-cell resolution from bone marrow mononuclear cell

205 In addition, the results produce a single-cell resolution gene expression atlas of the newb

206 waveguide delivery enables thermometry with single-cell resolution, allowing neurons to be activated

207 bolic outcomes in multicellular organisms at single-cell resolution.

208 n spectroscopy (SERS) and gold nanoprobes at single-cell resolution.

209 act novel microbial genomes while preserving single-cell resolution.

210 quantification of more than 40 markers at a single-cell resolution.

211 this inherent complexity requires studies at single-cell resolution.

212 onding to FGF4 within ICM cells, we combined single-cell-resolution quantitative imaging with single-

213 nome scale using approximately 100 cells and single cells, respectively.

214 ase (IDH)-mutant gliomas by combining 14,226 single-cell RNA sequencing (RNA-seq) profiles from 16 pa

215 Single-cell RNA sequencing (RNA-seq) reveals enrichment

216 loped an innovative approach that integrates single-cell RNA sequencing (scRNA-seq) with the shRNA sc

217 Here we integrate single-cell RNA sequencing and robust statistical analys

218 , we profiled mouse lung-resident ILCs using single-cell RNA sequencing at steady state and after in

219 ression profiles (RGEPs) from tumour-derived single-cell RNA sequencing data.

220 Single-cell RNA sequencing identified meningeal cells wi

221 anslating ribosome affinity purification and single-cell RNA sequencing identify candidate markers fo

222 Here, we perform deep single-cell RNA sequencing on 5,063 single T cells isola

223 To test this, we developed single-cell RNA sequencing procedures for identifying TC

224 ling the transcriptomes of individual cells, single-cell RNA sequencing provides unparalleled resolut

225 study, we combine novel mouse reporters and single-cell RNA sequencing to reveal the heterogeneity i

226 e approaches and provide recommendations for single-cell RNA sequencing users.

227 loped SLICE, a novel algorithm that utilizes single-cell RNA-seq (scRNA-seq) to quantitatively measur

228 extracellular matrix remodeling genes, while single-cell RNA-seq analyses showed increased expression

229 Using single-cell RNA-Seq and multiplexed in situ hybridizatio

230 low sensitivity and high technical noise of single-cell RNA-seq assays.

231 Single-cell RNA-seq can precisely resolve cellular state

232 , applying existing normalization methods to single-cell RNA-seq data introduces artifacts that bias

233 esses the progenitor and committed states in single-cell RNA-seq data sets in a non-biased manner.

234 nder simulated conditions and real iCLIP and single-cell RNA-seq data sets.

235 Single-cell RNA-seq enables the quantitative characteriz

236 tal tumors and their microenvironments using single-cell RNA-seq from 11 primary colorectal tumors an

237 cryptic states, but the high variability of single-cell RNA-seq measurements frustrates efforts to a

238 Here, comparing single-cell RNA-Seq profiles of CTCs from breast, prosta

239 Here, using single-cell RNA-seq, we unearth unexpected heterogeneity

240 le, low-cost platform for massively parallel single-cell RNA-seq.

241 g of cell fate has been advanced by studying single-cell RNA-sequencing (RNA-seq) but is limited by t

242 Single-cell RNA-sequencing (scRNA-seq) allows studying h

243 Here, we used single-cell RNA-sequencing (scRNA-seq) of developing neu

244 Recent advances in single-cell RNA-sequencing (scRNA-seq) technology increa

245 ges that underlie this process, we applied a single-cell RNA-sequencing approach and analyzed individ

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

247 Single-cell RNAseq analysis confirmed CHX10(+) cells wit

248 Here, the authors use single-cell RNAseq and ChIPseq to find that actively tra

249 retain high-quality intact RNA suitable for single-cell RT-qPCR as well as RNA-Seq, enabling the rel

250 Technical advances in single-cell sequencing data and their application to gre

251 iple times in individual tumors for 11 of 12 single-cell sequencing data sets from a variety of human

252 ence method for tumor phylogenies from noisy single-cell sequencing data under a finite-sites model.

253 his perspective, the fundamental concepts of single cell-SERS analysis including origin of spectral b

254 ted by Cas9 and traditional recombinase with single-cell specificity.

255 phagocytosis for nutrient acquisition at its single-cell stage and for antibacterial defense at its m

256 Single-cell structural variant (SV) analyses revealed a

257 More generally, a new wave of quantitative single-cell studies has begun to elucidate how signaling

258 Furthermore, single-cell studies were validated by in vitro quantific

259 ram and the single-cell level as observed by single-cell suction pipette recordings.

260 cardiomyocytes and tissue debris producing a single cell suspension that is sorted using magnetic-act

261 spatial distribution of small RNAs in live, single cells, tandem copies of FASTmiR122 were expressed

262 Unsupervised clustering and single-cell TCR locus reconstruction identified three ce

263 Using single-cell techniques, we assessed the transcriptional

264 Accordingly, the advent of single-cell technologies will be crucial in enabling the

265 s cathode materials against graphite anodes (single cells); They perform outstandingly at very high c

266 etection of [(18)F]FDG radiotracer uptake in single cells through fluorescence activation.

267 expression patterns in various contexts from single cells to whole tissues.

268 We present single-cell topological data analysis (scTDA), an algori

269 We incorporate single-cell tracking and a data-mining algorithm into ou

270 rea requires developing novel techniques for single-cell transcription imaging and integrating imagin

271 Single-cell transcriptional profiling at E9.5 reveals th

272 Here, we report single-cell transcriptomes for 638 cells from nondiabeti

273 Analyses of ND single-cell transcriptomes identified distinct alpha, be

274 By integrating single-cell transcriptomes with bulk expression profiles

275 Together with analysis of single-cell transcriptomes, these findings have enabled

276 To robustly cluster single-cell transcriptomes, we developed reference compo

277 o infer the dynamics of differentiation from single cell transcriptomics data and to build predictive

278 ncy to lineage commitment, using an unbiased single-cell transcriptomics approach.

279 Using a statistical framework to analyze single-cell transcriptomics data, we infer the gene expr

280 ta, and the suitability of these methods for single-cell transcriptomics has not been assessed.

281 le-cell-resolution quantitative imaging with single-cell transcriptomics of wild-type and Fgf recepto

282 Here, we use single-cell transcriptomics to identify the molecular si

283 us droplet-based sequencing (snDrop-seq) and single-cell transposome hypersensitive site sequencing (

284 -derived cells because of the loss of only a single cell type-the insulin-producing beta-cell.

285 -cell identity mediated by Pcdh diversity, a single cell-type identity mediated by the common C-type

286 deconvolution analysis is applied to obtain single cell-type or tissue specific signatures from a mi

287 amplification (SCMDA) and a general-purpose single-cell-variant caller, SCcaller.

288 Using single-cell velocity tracking, we show approximately 10-

289 s consistently detected from all 16 profiled single cells was 20 864 (72.7%), with 12 961 promoters c

290 We used single-cell whole-genome sequencing to perform genome-wi

291 , RNA-seq, ChIP-seq, targeted sequencing and single-cell whole-genome sequencing, with a minimal requ

292 approximately 10 AuNPs (3 nm core size) in a single cell with tandem multiparameter cellular phenotyp

293 ecular uptake rate across several regions of single cells with individual measurements at nanoscale r

294 By comparing SCMDA-amplified single cells with unamplified clones from the same popul

295 The acidic single-cell with such a catalyst as cathode delivers hig

296 report sustained glycolytic oscillations in single cells without the need for cyanide.

297 oncogene expression in selected tissues and single cells without tissue-specific promoters.

298 ling to cytoskeletal remodeling processes in single cell wound repair.

299 mechanical properties of cells surrounding a single-cell wound are investigated during closure of the

300 The same effect was observed for a single-cell wound induced by laser ablation and during c