ライフサイエンスコーパス: individual cell

1 between complex immune responses within each individual cell.

2 mited depending on the metabolic state of an individual cell.

3 ensing mechanism that signals to the body or individual cell.

4 environment maintains a uniform size across individual cells.

5 oorganisms living as a quorum rather than as individual cells.

6 phagy are largely thought to function within individual cells.

7 all neighbouring epithelia will feedback on individual cells.

8 little was known about the fate of cccDNA in individual cells.

9 ) have made it possible to assay regulome of individual cells.

10 tive behavior must arise from the actions of individual cells.

11 ough coordinated gene expression programs in individual cells.

12 d their spatial organization at the level of individual cells.

13 pulation level by the fate decisions made by individual cells.

14 and corresponding phenotypes to be imaged in individual cells.

15 regenerate after complete dissociation into individual cells.

16 lation of cells, with the ability to resolve individual cells.

17 d aspects of viral RNA regulatory control in individual cells.

18 s cause stochastic phases of oscillations in individual cells.

19 1) and alternatively activated (M2) genes in individual cells.

20 trical pulses and heterogeneous treatment on individual cells.

21 of cells, emerge from the known behaviors of individual cells.

22 inct chromosome compositions varying between individual cells.

23 of tissues by sculpting the cytoskeleton of individual cells.

24 above the characteristic frequencies of the individual cells.

25 phocytes in order to measure PKB activity in individual cells.

26 rogression, we could not predict the fate of individual cells.

27 thods for uncovering lineage relations among individual cells.

28 nd extracts multiple biophysical features of individual cells.

29 regulates virus progression in live mice and individual cells.

30 nown about biofilm structure at the level of individual cells.

31 ogrammes that impart functional diversity to individual cells.

32 overview of copy number variations (CNV) in individual cells.

33 e to controlled external stresses applied to individual cells.

34 allel expression profiling from thousands of individual cells.

35 in cortical layer or phenotypic identity in individual cells.

36 chromatin interactions likely to co-occur in individual cells.

37 es and adaptive abilities exceeding those of individual cells.

38 arcoding of the entire mRNA transcriptome of individual cells.

39 ck of techniques for multimodal profiling of individual cells.

40 ltering stochasticity to change phenotype of individual cells.

41 ell populations emerge from the behaviour of individual cells.

42 ed with the level of caspase-1 activation in individual cells.

43 ffects the effective signalling threshold of individual cells.

44 lular polymeric substances that surround the individual cells.

45 raction of consistently profiled CGIs across individual cells.

46 an extensively and controllably profile many individual cells.

47 sets of vascularized tissues at the scale of individual cells.

48 ew way to measure glycolytic oscillations on individual cells.

49 for exploring expression heterogeneity among individual cells.

50 ed investigation of the drug at the level of individual cells.

51 leads to phenotypic diversity among isogenic individual cells.

52 o distinct cell types and divide labor among individual cells.

53 a crush injury than the precision removal of individual cells.

54 g those ensembles selectively by stimulating individual cells.

55 on of the fraction of accessible DHSs within individual cells.

56 increasingly fine resolution to the level of individual cells.

57 revealed large deviations in the behavior of individual cells.

58 sed to study gene expression at the level of individual cells.

59 NAD(+) redox state were temporally linked in individual cells adapting to metabolic perturbations.

60 rinciple, galvanize our understanding of how individual cells adopt distinct fates as they build comp

61 echanisms are potent strategies that protect individual cells against intracellular pathogens.

62 is-interaction profiles that finely position individual cells along the cell cycle.

63 hat many lncRNAs are abundantly expressed in individual cells and are cell type-specific.

64 erstood without taking into account how both individual cells and cell networks sense and transduce p

65 en revealed thousands of virions released by individual cells and discreet cytoplasmic densities near

66 demonstrated by both fluorescent imaging of individual cells and flow cytometry of the whole cell po

67 tent this multi-target suppression occurs in individual cells and how it impacts transcriptional hete

68 of epigenetic heterogeneity at the level of individual cells and in whole populations is the key to

69 automated image analysis software identifies individual cells and measures approximately 1,500 morpho

70 w for microfluidic handling and culturing of individual cells and microtissue spheroids, which is bas

71 embled and microengineered networks, but not individual cells and monolayers, exhibit calcium oscilla

72 depends on orchestrated interactions between individual cells and morphogenetically relevant cues at

73 (567) modulation influences behavior of both individual cells and multicellular aggregates (MCAs).

74 females and relied on information from both individual cells and neuronal populations.

75 D maps of nuclear structures are analyzed in individual cells and normalized to fluorescence standard

76 by as much as 1.8 orders of magnitude among individual cells and that antiviral therapy leads to a r

77 both the origins of the differences between individual cells and the consequences of those differenc

78 e-off between the information transferred in individual cells and the information available to contro

79 ods between </=17 and >42 h at the levels of individual cells and the overall circuit.

80 that involves both the increased activity of individual cells and the recruitment of a larger pool of

81 re for assessing the structural integrity of individual cells and their response to mechanical pertur

82 etic barcodes are increasingly used to track individual cells and to quantitatively assess their clon

83 rter cell line to monitor gene activation in individual cells and to show that activation could occur

84 o show that there is great diversity between individual cells and when comparing each of the cell typ

85 udy chromosome conformations in thousands of individual cells, and discover a continuum of cis-intera

86 ircuitry, predicting synaptic contacts among individual cells, and estimating synapse numbers within

87 ometer-scale cytoskeletal protein complexes, individual cells, and groups of cells pattern growth and

88 ously quantifying nascent and mature mRNA in individual cells, and incorporating cell-cycle effects i

89 anism depends not just on how functional its individual cells are but also on how well cells work tog

90 The oscillators of individual cells are stochastic with a period near 21 ho

91 Individual cells are then trapped in water-in-oil emulsi

92 ing low-magnification dark-field microscopy, individual cells are tracked over a large field of view

93 ant heterogeneities in gene expression among individual cells are typically interrogated using single

94 on transfer via these receptors reveals that individual cells are unreliable sensors of GnRH concentr

95 of the RyhB-regulated genes sodB and fumA in individual cells as a function of iron deprivation.

96 e multiple aspects of the molecular state of individual cells, as well as computational integration o

97 l to quantify over 100 different proteins in individual cells at optical resolution.

98 r organization, dynamics and interactions in individual cells, at the single-molecule level, from the

99 duct, but this method was unsuited to study individual cell behaviors during ureteric bud branching.

100 The coordination of individual cell behaviors is a crucial step in the assem

101 Individual cell behaviors were used to create a partial

102 that somatic mutations randomly arise within individual cells but are not detectable in whole tissues

103 Individual cells can be oriented arbitrarily but prefera

104 We demonstrate that individual cells can behave as autonomous cellular oscil

105 ing diverse shapes and growth modes, and how individual cells can dynamically modulate their shape ar

106 We show that individual cells can efficiently move toward chemoattrac

107 as populations but the behaviour of single, individual cells can have important consequences.

108 The results show that individual cells can not only learn to time a single res

109 roliferate and display plasticity or whether individual cells can switch to multiple phenotypes.

110 Individual cells changed their activity across days, whi

111 then use two-photon calcium imaging to track individual cells chronically during the EE-induced recov

112 uller glia spatial patterning, revealing how individual cells collaborate to form a pan-retinal netwo

113 e mutant showed a bimodal response where the individual cells contained either abundant or low riboso

114 is aECM patterning and organisation and that individual cells contribute autonomously to their aECM.

115 The transcriptional profiles of these individual cells, coupled with assembled T cell receptor

116 ning induced both up- and down-regulation of individual cells' CS-evoked responses.

117 approximately ten times larger than that of individual cells cultured in typical solution media.

118 ost fundamental questions in biology are how individual cells differentiate to form tissues, how tiss

119 cu et al. show that chromosome copies within individual cells display high diversity, similar to that

120 action of the actomyosin cytoskeleton within individual cells drives cell shape changes that fold tis

121 to track the matching process chronically in individual cells during EE-induced rescue.

122 is essential to coordinate the behaviour of individual cells during organismal development.

123 It simulates individual filaments, each with individual cells, each with genes that are expressed to

124 el-free electrical impedance measurements of individual cells, enabling the possibility of quantitati

125 ion and reward gains are closely correlated, individual cells encode decision variables that are base

126 recovers shape and enables quantify size of individual cells, even from a single input image.

127 ed by type-IV pilus retraction, we find that individual cells exert local traction in small hotspots

128 We show that individual cells exhibit two-dimensional tuning curves,

129 With individual cells exhibiting fluorescent intensities prop

130 Inside individual cells, expression of genes is inherently stoc

131 apoptosis-induced intracellular activity in individual cells following exposure to tumor necrosis fa

132 es for capturing and processing thousands of individual cells for whole-transcriptome or genomic anal

133 ng this method, the tumor driving pathway in individual cells from a colorectal cancer cell line was

134 , inexpensive RNA sequencing of thousands of individual cells from a single specimen, raising the pos

135 Here, we examined gene expression in 241 individual cells from early and late human blastocysts t

136 ssays to explore the mtDNA rearrangements in individual cells from patients with sporadic inclusion b

137 s.Significance: Genomic analysis of multiple individual cells harvested from prostate biopsies provid

138 ete and abundant expression of lncRNAs among individual cells has important implications for both the

139 for regulated ribosome specification within individual cells has remained elusive.

140 h permits whole transcriptional profiling of individual cells, has been widely applied to study growt

141 the co-location of numerous proteins within individual cells have been proposed to study tumour hete

142 enable genome-wide profiling of thousands of individual cells have provided the tantalizing prospect

143 gate the activation of Spo0A and sigma(F) in individual cells held under constant, sporulation-induci

144 six different protease activity signals from individual cells in a high throughput manner (~100 cells

145 placement and exponential growth rate across individual cells in a population relative to those obser

146 ion of polyphosphate and heterogeneity among individual cells in algal culture can be obtained.

147 s within the habitat and the total number of individual cells in all of these colonies.

148 d way, we profiled gene expression in 20,921 individual cells in and around the adult mouse Arc-ME us

149 ifferentiation and morphogenesis by tracking individual cells in live analysis of mouse embryos.

150 CoChR (soCoChR) enabled photostimulation of individual cells in mouse cortical brain slices with sin

151 To isolate and analyze thousands of individual cells in multiplexed conditions, our platform

152 y transfer (FRET) can visualize responses of individual cells in real time.

153 quantification of DNA and cyclin A to stage individual cells in the cell cycle to determine the leve

154 Our results indicate that individual cells in the central complex encode the anima

155 evel manifests in the physiologic profile of individual cells in the context of disease progression.

156 es in live mice, we captured the lifetime of individual cells in the ear and paw epidermis.

157 cence-activated cell sorting (FACS), so that individual cells, including stem cells, can be directly

158 Thus, the tuning properties of individual cells inside the visual stream appear to resu

159 nnot produce structures of the size at which individual cells interact.

160 Assigning individual cells into discrete groups of cell types (gat

161 lation of gene expression at the level of an individual cell involves reactions between finite number

162 rine mechanism, fine control at the level of individual cells is achieved.

163 Protein identification and quantification in individual cells is essential to understand biological p

164 to address intracellular Pt concentration in individual cells is explored to permit the evaluation of

165 Characterizing the transcriptome of individual cells is fundamental to understanding complex

166 role in controlling anisotropic expansion of individual cells is played by the cortical microtubule a

167 parallel, the electrophysiology response of individual cells is representative, which has potentials

168 re we analyse gene expression in over 80,000 individual cells isolated from 31 human brain organoids.

169 We have analyzed transcriptomes from individual cells isolated from the chick retina througho

170 ton scale forces along different parts of an individual cell junction.

171 When seeded as individual cells, lateral migration and cell-cell juncti

172 These results show at the individual cell level how a microRNA simultaneously has

173 ecause cell fate choices are executed at the individual cell level, new single-cell profiling technol

174 ze genome-scale molecular information at the individual cell level.

175 l data on differences in MDR activity at the individual cell level.

176 sis for heterogeneity in MDR activity at the individual cell level.

177 Individual cell line analyses showed global methylome pa

178 set was investigated for its distinction of individual cell lines and different tissue types of orig

179 models, we tailored combination therapies to individual cell lines and successfully validated their e

180 further found that in the hypoxic gradient, individual cells migrate more quickly, across longer dis

181 g events, but the mechanisms that coordinate individual cell migratory behaviors for collective movem

182 impact on the cell biology of collective and individual cell migratory behaviors.

183 for long periods after stimulus offset while individual cell mismatch responses are strongly phasic.

184 tion and stochastic, multicolor labeling for individual cell morphology studies.

185 diflora increased LKB1 expression, inhibited individual cell-motility and abrogated the stem-like phe

186 this connection, increasing the noisiness of individual cell motion can actually increase the collect

187 e transcriptional variation observed between individual cells necessitates the development of methods

188 rescence in situ hybridization, to show that individual cells of Achromatium oxaliferum, the world's

189 Counting peroxisomes in individual cells of complex organs by electron or fluore

190 The efficient selection and isolation of individual cells of interest from a mixed population is

191 ically the effects of these substitutions in individual cells of the developing mesoderm, we engineer

192 The ability to identify and characterise individual cells of the immune system under label-free c

193 We provide a different understanding: individual cells operate over a narrow range, but the po

194 In the synchronized state, the individual cells or lasers coordinate the timing of thei

195 (PCP) core proteins Prickle1 and Prickle2 in individual cells or local forced expression of Wnt5a per

196 mplify loading, culturing, and harvesting of individual cells or microtissues due to the fact that li

197 er oscillations are an intrinsic property of individual cells or represent a population-level phenome

198 n is difficult without a means of perturbing individual cells or subpopulations.

199 ed techniques) or the lack of information on individual cells or telomeres (PCR-based methods).

200 and quantify the transcriptional outputs of individual cells or thousands of samples.

201 vior in bacteria is biofilm formation, where individual cells organize into highly complex, matrix-en

202 oss cells in isogenic populations and within individual cells over time.

203 on measurements of several hundreds to 1,000 individual cells per assay, while offering simultaneous

204 n of the +1 location is seen not only within individual cell populations and between cell types, but

205 nalyses revealed transcriptional profiles of individual cell populations distinct from bulk skin, mos

206 wever, the intermediate stages through which individual cells progress during reprogramming are large

207 cating that closure is driven by movement of individual cells rather than a transepithelial coordinat

208 n these uniform, small brains is realized by individual cells, rather than cell clusters, representin

209 of the decision circuit and the function of individual cells remain stable across contexts.

210 Individual cells responded to acetylcholine with a conce

211 ing the variability in the magnitude of each individual cell responses were compared.

212 ty by PLA demonstrates that RNA synthesis in individual cells resumes about 30-45 min after DNA repli

213 Furthermore, quantification of CNV in individual cells reveals remarkable allele selectivity i

214 Although the direction of motion of individual cells reversed stochastically along the axes

215 n properties are globally distributed on the individual cell's surface is unknown.

216 Direct detection of RyhB in individual cells shows that its noise is much smaller th

217 ely and rapidly measure growth rates of many individual cells simultaneously.

218 By profiling the transcriptomes of individual cells, single-cell RNA sequencing provides un

219 increased collective sheet displacement and individual cell speed, only cells treated with immobiliz

220 scopy (AOSLO) provides microscopic access to individual cells, such as photoreceptors, retinal pigmen

221 ods are used increasingly to interrogate the individual cells that compose specific tissues.

222 d multicellular structures that develop from individual cells that expand out of the epidermal plane

223 The kinetics of killing individual cells that lack lamA are more uniform and mor

224 dynamic information and differences between individual cells that often have profound functional con

225 Despite changes in individual cells, the population activity had statistica

226 erial chemotaxis has been well understood in individual cells, the role of communication in the chemo

227 high variability in gene expression between individual cells, there is an inherent uncertainty in th

228 In individual cells, there was a negative correlation betwe

229 ach reprogramming factor and the progress of individual cells through the reprogramming process, and

230 mmals, we characterize transcriptomes of all individual cells throughout mouse pre-implantation devel

231 As a primary step in the response of an individual cell to a spatial stimulus, direction sensing

232 ed based on the passage time required for an individual cell to pass through a constriction smaller t

233 g widely from chemotaxis and excitability of individual cells to aggregation of thousands of cells.

234 n fluorescent protein, enables expression in individual cells to be followed over time using confocal

235 diverse physical and chemical cues act upon individual cells to ensure coordinated multicellular beh

236 conceptual framework at scales ranging from individual cells to landscapes.

237 describes how to perform western blotting on individual cells to measure cell-to-cell variation in pr

238 ng process is coupled to the polarization of individual cells to model migratory behavior.

239 The two time durations for individual cells to pass through the entry region and tr

240 are probably the most ancient ones allowing individual cells to reversibly enter the multicellular s

241 level was a consequence of the responses of individual cells to sodium chloride that we observed: (i

242 opulations can introduce diversity, allowing individual cells to stochastically switch between fast-g

243 ted as a likely switch from an ingression of individual cells to the invagination of the blastoderm e

244 ith reduced cell migration in wound healing, individual cell tracking and three-dimensional migration

245 Analyses of individual cells treated with autophagic inhibitors to s

246 ity is induced by a range of intervals, with individual cells tuned for different intervals.

247 promoters to confine transgene expression to individual cell types (eg, ITGA2B for inherited platelet

248 ance of size for optimal organ function, how individual cell types are generated in correct proportio

249 ntly, many of the binding rules derived from individual cell types are shared across cell types and r

250 physiological functions of cAMP signaling in individual cell types at different developmental stages

251 Here, we mine transcriptome data from individual cell types in the Arabidopsis thaliana stomat

252 omprehensive dataset of gene expression from individual cell types of the Arabidopsis root.

253 vide insights into the specific functions of individual cell types that compose complex tissues.

254 rent cell types, but obtaining APA maps from individual cell types typically requires prior purificat

255 n infected mosquito, but the contribution of individual cell types within skin to infection is unknow

256 re generally lowly expressed at the level of individual cell types, but co-expression clusters provid

257 tools exist for identifying and quantifying individual cell types, few methods are available to asse

258 ndpoints in real time, while identifying the individual cell types.

259 from analysis of expression at the level of individual cell types.

260 mere length provides valuable information on individual cell types.

261 -quality chromatin profiling datasets across individuals, cell types and species.

262 ization of transcriptomes and epigenomes for individual cells under different conditions and provide

263 er, using live-cell microscopy, we show that individual cells undergo abrupt transitions from a naive

264 tensive in vitro amplification of genomes of individual cells using DNA polymerases and high-throughp

265 tructured habitats as colonies, within which individual cells vary in their access to nutrients.

266 crawl, such that the 3D surface topology of individual cells was difficult to predict.

267 The distribution pattern of cytochrome c in individual cells was used as a measure of cell viability

268 wth rate response to an antibiotic over many individual cells, we can push the detection time to the

269 ctions and their gene expression measured in individual cells, we constructed a map of a cell-cell co

270 tection of expression signatures specific to individual cells, we developed PLAYR (proximity ligation

271 By analysing a large cohort of individual cells, we directly demonstrate that CNV of th

272 eduction in OGT levels seen in the L254F-OGT individual cells, we observed that steady-state global O

273 By determining the mutational history of individual cells, we uncover a novel mutational signatur

274 dies of a nontoxic Tb-containing compound by individual cells were conducted and the results compared

275 e inner cell mass and trophectoderm in which individual cells were mapped into distinct expression do

276 verified with tandem mass spectrometry from individual cells when ionic liquids are employed as a ma

277 the balance of EGFR and PDGFRA activation in individual cells, which is heterogeneous at baseline.

278 of directly correlating the function of the individual cell with its biomolecular profile remains el

279 odels that integrate stochastic dynamics for individual cells with biochemical reactions within the c

280 ns, implying initial inoculation by multiple individual cells with distinct genotypes.

281 ugh is heterogeneous among single cells, and individual cells with higher UGA readthrough grow faster

282 Our work also revealed that individual cells with lower protein synthesis levels exh

283 itation of YY1-bound chromatin from affected individuals' cells with antibodies recognizing both ends

284 fluorescence microphotometry of hundreds of individual cells, with a diffusion-based geometric analy

285 e distribution of distinct cell states among individual cells within a clonal population.

286 Yet, it is often unclear how individual cells within a field of identical cells initi

287 plished through stochastic mechanisms, where individual cells within a population display diverse phe

288 their inability to detect variation between individual cells within a population, inspiring the deve

289 ts and its effect on transcription levels in individual cells within a population, we used the Wnt/be

290 Individual cells within a tumour can exhibit distinct ge

291 ive different immune checkpoint molecules on individual cells within different tumor types.

292 From bacteria to humans, individual cells within isogenic populations can show si

293 The chemical differences between individual cells within large cellular populations provi

294 t reverse their moving direction frequently, individual cells within swarms rarely reverse.

295 bitory and stimulatory immune checkpoints on individual cells within the tumor microenvironment.

296 relationships and dynamic event histories of individual cells within their native spatial context is

297 despite the variable growth and division of individual cells within them.

298 method to impose a mechanical compression on individual cells without altering the composition of the

299 ding dye causing dose-dependent apoptosis of individual cells without collateral damage.

300 eneous cell populations, cell cycle stage of individual cells would often be informative.