ライフサイエンスコーパス: multiparameter

1 Our multiparameter analyses provide unique insights into the

2 ues of k(c) reported in the literature for a multiparameter analysis (log(k(c)/M(-1) s(-1)) = (10.22

3 eservation must be carefully controlled; (e) multiparameter analysis is useful in clinical assays of

4 Here, multiparameter analysis of annually resolved tree-ring r

5 th a simple 2D hydrodynamic focusing for the multiparameter analysis of apoptosis and DNA ploidy anal

6 Multiparameter analysis of apoptosis in relation to cell

7 immune response phenotypes by combinatorial, multiparameter analysis of autoantibodies and autoreacti

8 tion of IL-10-producing human B-regs using a multiparameter analysis of B cell phenotype, function, a

9 Multiparameter analysis of BALF mediators of all patient

10 Multiparameter analysis of BRCA1 and nucleolin in relati

11 he feasibility of using the muFCM system for multiparameter analysis of caspase activation and dissip

12 Flow cytometry provides highly sensitive multiparameter analysis of cells and particles but has b

13 Flow cytometry allows high-content, multiparameter analysis of single cells, making it a pro

14 In this study, we present a novel, multiparameter analysis of TCR-coupled signaling and fun

15 t promising derivatives were identified by a multiparameter analysis of the compound properties.

16 rs, along with imaging techniques for static multiparameter analysis or dynamic in vivo tracking.

17 phylogenetic analysis methods were used in a multiparameter analysis to determine the history and anc

18 Multiparameter analysis using blood samples from patient

19 patially multiplexed detection, relying on a multiparameter analysis, i.e., a simultaneous analysis o

20 cular subpopulations can be discriminated by multiparameter analysis.

21 Multiparameter antidonor immunity was also assessed seri

22 Here, we use a multiparameter approach involving CD27 to segregate naiv

23 The multiparameter approach to classification adopted by the

24 We used a multiparameter approach, including fluorescence-activate

25 Using a multiparameter approach, we prospectively identified, so

26 ts enable open-source implementation of such multiparameter architectures, which represent a move awa

27 eloped and validated an entirely noninvasive multiparameter assay (DIREct-On, Durable Immunotherapy R

28 stablished an assay based on flow cytometric multiparameter assay assessing expression of CD161 along

29 rofluidic cell pairing, on-chip culture, and multiparameter assays, and allows recovery of desired ce

30 , cathepsin D, cyclin E, proteomics, certain multiparameter assays, detection of bone marrow micromet

31 This multiparameter assessment indicated that phenotypes were

32 The use of multiparameter assessment of response and PSA level as a

33 in tissue-specific skills (e.g., design of a multiparameter barcode panel and creation of microfluidi

34 ss the challenges and utility of exosomes as multiparameter biomarker platforms for the detection of

35 It currently includes databases of multiparameter cardiopulmonary, neural, and other biomed

36 Text information analysis and a multiparameter cellular localization predictive tool wer

37 Although multiparameter cellular morphological profiling methods

38 grown in a 3D spheroid format to validate a multiparameter cellular morphological profiling screenin

39 3 nm core size) in a single cell with tandem multiparameter cellular phenotyping.

40 During multiparameter chemical optimization, molecular capabili

41 Here, we demonstrate how a multiparameter classification approach can be used to ch

42 -108; P=0.02) of patients misclassified by a multiparameter clinical model, including age, sex, and a

43 mplished by unsupervised and semi-supervised multiparameter clustering and machine learning.

44 ing (structure- and ligand-based design) and multiparameter compound selection.

45 Here, we used multiparameter confocal single-molecule FRET to track th

46 Clinically feasible multiparameter continuous physiological monitoring techn

47 metry is a powerful analytical technique for multiparameter cytometric assays.

48 introduce compaRe, a toolkit for large-scale multiparameter data analysis, which integrates quality c

49 alternative, we describe herein an automated multiparameter data optimization analysis strategy where

50 We used multiparameter data to show that the short cycles were d

51 apid, and precise comparisons of large-scale multiparameter datasets, including high-throughput scree

52 Hormone signaling is often pulsatile, and multiparameter deconvolution procedures have long been u

53 a viable alternative to conventional FCM for multiparameter detection of programmed cell death.

54 These results point to the benefit of multiparameter determination for improving detection and

55 lyses the effect of introducing an automated multiparameter early warning score (MEWS)-based early wa

56 lop an imaging platform with versatility for multiparameter electrophysiological mapping of cardiac p

57 The Catalan multiparameter equation is used in the interpretation of

58 he established linear solvation energy (LSE) multiparameter equations of Kamlet-Taft and the improved

59 Quantum multiparameter estimation involves estimating multiple p

60 fundamental quantum limits to the achievable multiparameter estimation precision in the presence of n

61 For several relevant instances, this multiparameter estimation problem can be effectively res

62 Multiparameter experimental and computational methods th

63 Complicated, multiparameter experiments were thus possible despite th

64 nephrectomy specimens was quantitated using multiparameter FACS analyses.

65 In this study, we used multiparameter FACS analysis to examine expression of CL

66 Multiparameter FACS analysis was used to examine relativ

67 tent of mixed-chimerism was determined using multiparameter FACS analysis.

68 pe effect (k(H)(2)(O)/k(D)(2)(O) = 1.0), and multiparameter fitting of the kinetic data establish tha

69 ular composition of 51 meningioma samples by multiparameter flow cytometric (MFC) immunophenotyping a

70 Extensive multiparameter flow cytometric analyses were performed o

71 Multiparameter flow cytometric analysis also indicates t

72 d function of transgenic anti-Gal B cells by multiparameter flow cytometric analysis and ELISA.

73 To address this, we combined multiparameter flow cytometric analysis and T-cell subpo

74 Multiparameter flow cytometric analysis indicates that 5

75 Multiparameter flow cytometric analysis of bone marrow c

76 Fluidigm BioMark and multiparameter flow cytometric analysis of HIV-specific

77 a marker of early apoptosis and suggest that multiparameter flow cytometric analysis of intracellular

78 two modular protocols for immunostaining and multiparameter flow cytometric analysis of major human a

79 We describe the multiparameter flow cytometric analysis of the relations

80 Multiparameter flow cytometric analysis of toxin-treated

81 Multiparameter flow cytometric analysis was used to asse

82 Multiparameter flow cytometric analysis was used to char

83 ade to express the transgene, as assessed by multiparameter flow cytometric analysis.

84 say combining immunomagnetic enrichment with multiparameter flow cytometric and immunocytochemical an

85 IV+ subjects using a novel, highly efficient multiparameter flow cytometric assay that detects the ra

86 nd LRP in younger AML patients, we developed multiparameter flow cytometric assays to quantify expres

87 Consequently, we developed a rapid multiparameter flow cytometric CBU potency assay that en

88 fusion gene transcripts or breakpoints, and multiparameter flow cytometric immunophenotyping.

89 By multiparameter flow cytometric measurements of cell reco

90 hether measuring chemotherapy sensitivity by multiparameter flow cytometric minimal residual disease

91 of 96 healthy adult subjects using targeted multiparameter flow cytometric profiling of NK cell phen

92 Studies in this report, which use combined multiparameter flow cytometric sorting and enzyme-linked

93 We used a multiparameter flow cytometric technique to functionally

94 MRD monitoring by multiparameter flow cytometry (MFC) and real-time quanti

95 cation of more objective methodology such as multiparameter flow cytometry (MFC) has highlighted the

96 Multiparameter flow cytometry (MFC) has the potential to

97 udied for immunophenotypic classification by multiparameter flow cytometry (MFC) in a central laborat

98 surable residual disease (MRD) evaluation by multiparameter flow cytometry (MFC) or quantitative poly

99 There have also been significant advances in multiparameter flow cytometry (MFC) to detect MRD, with

100 Multiparameter flow cytometry (MFC) was used to assess M

101 medullary plasmacytoma (EMP; n = 29) through multiparameter flow cytometry (MFC) would unravel the pr

102 s by fluorescence microscopy (>100 cells) or multiparameter flow cytometry (MFC, <10 000 cells).

103 sing bacterial display peptide libraries and multiparameter flow cytometry (MPFC).

104 MRD was assessed by second-generation multiparameter flow cytometry (sensitivity 10(-5)).

105 MRD was performed by multiparameter flow cytometry (sensitivity of 10-5) at p

106 es of BK viral replication were evaluated by multiparameter flow cytometry after stimulation by overl

107 yping protocol was conducted using validated multiparameter flow cytometry analysis in blood and s.c.

108 Multiparameter flow cytometry analysis shows that a larg

109 his method with the gold-standard MRD assays multiparameter flow cytometry and allele-specific oligon

110 Multiparameter flow cytometry and automated image analys

111 of minimal residual disease (MRD), including multiparameter flow cytometry and polymerase chain react

112 ular interstitial cells were performed using multiparameter flow cytometry and quantitative polymeras

113 ally in the bone marrow and blood using both multiparameter flow cytometry and semi-quantitative DNA

114 We used multiparameter flow cytometry and viable cell sorts from

115 B (CALGB) protocols were immunophenotyped by multiparameter flow cytometry as part of a prospective i

116 A multiparameter flow cytometry assay assessing T-cell res

117 We set up a multiparameter flow cytometry assay to distinguish CD14(

118 ) and persistent minimal residual disease by multiparameter flow cytometry at day +100 after HDT/ASCT

119 g the role of next-generation sequencing and multiparameter flow cytometry for myeloid marker monitor

120 cytochemical protein detection combined with multiparameter flow cytometry further demonstrate that t

121 Multiparameter flow cytometry has also been used to iden

122 Using multiparameter flow cytometry human innate lymphoid cell

123 ll repertoire reconstitution was examined by multiparameter flow cytometry in 34 of these 51 patients

124 n index of bone marrow plasma cells (PCs) by multiparameter flow cytometry in 595 newly diagnosed tra

125 ected with HDV and 30 uninfected controls by multiparameter flow cytometry in correlation with diseas

126 ukemic cells in bone marrow) was assessed by multiparameter flow cytometry in serial samples collecte

127 Multiparameter flow cytometry is used to characterize im

128 We performed multiparameter flow cytometry on freshly isolated metast

129 n the context of filarial infection, we used multiparameter flow cytometry on PBMCs from 25 microfila

130 he goal of the current study is to develop a multiparameter flow cytometry panel incorporating detect

131 M and a high proliferation index assessed by multiparameter flow cytometry remain as independent prog

132 tional assessment of HIV-specific T cells by multiparameter flow cytometry revealed that polyfunction

133 e, we combine single-cell RNA-sequencing and multiparameter flow cytometry to assess changes in circu

134 Here, using multiparameter flow cytometry to assess the immune respo

135 We used multiparameter flow cytometry to characterize leukocyte

136 We used multiparameter flow cytometry to characterize leukocyte

137 pha in the outcome of HCV infection, we used multiparameter flow cytometry to characterize patients w

138 We used multiparameter flow cytometry to characterize the qualit

139 We used multiparameter flow cytometry to characterize the type o

140 ressed in AML such as Wilms' tumor gene, and multiparameter flow cytometry to detect leukemia-associa

141 ) with that in healthy children (n=20) using multiparameter flow cytometry to detect markers of T cel

142 The purpose of this study was to use multiparameter flow cytometry to detect occult marrow di

143 emented set of serological reagents, we used multiparameter flow cytometry to directly quantify the f

144 We used multiparameter flow cytometry to evaluate pro- and antia

145 ied mononuclear cells (MNC) were screened by multiparameter flow cytometry to identify MSC, which wer

146 We used multiparameter flow cytometry to measure the distributio

147 mplexes, we have developed a method based on multiparameter flow cytometry to monitor both occupancy

148 ated, and the field has come a long way from multiparameter flow cytometry to next-generation flow an

149 eting CD4 and CD8 T cells were quantified by multiparameter flow cytometry to test the hypothesis tha

150 biomarkers of approximately 300 proteins by multiparameter flow cytometry using multiple aneuploid m

151 Multiparameter flow cytometry was performed for evaluati

152 DS-related cytomegalovirus retinitis (CMVR), multiparameter flow cytometry was used to characterize C

153 Multiparameter flow cytometry was used to delineate the

154 Therefore, multiparameter flow cytometry was used to identify and c

155 Multiparameter flow cytometry was used to identify monon

156 Here we coupled multiparameter flow cytometry with lesion-specific photo

157 (+)CD8(+)CD16(+/-)CD56(+/-)CD57(+)) shown by multiparameter flow cytometry, and clonal T-cell recepto

158 Histology, multiparameter flow cytometry, and enzyme-linked immunos

159 CR, for intracellular cytokine expression by multiparameter flow cytometry, and for ex vivo productio

160 Lin-Thy+ stem cell contents were measured by multiparameter flow cytometry, and myeloma cells were qu

161 We combined robotics, multiparameter flow cytometry, and real-time quantitativ

162 hen compared with Fil(+)A(-) Moreover, using multiparameter flow cytometry, filarial parasite Ag indu

163 icular T helper (Tfh) and plasma cells using multiparameter flow cytometry, flow antibody binding, an

164 We then integrated our findings using multiparameter flow cytometry, immunohistochemistry, and

165 A and cellular responses were assessed using multiparameter flow cytometry, in the per-protocol popul

166 es, which demonstrate that persistent MRD by multiparameter flow cytometry, polymerase chain reaction

167 ensive systems immunology approach including multiparameter flow cytometry, population-based transcri

168 magnetic bead-based enrichment and advanced multiparameter flow cytometry, populations as small as f

169 in the NK cell compartment longitudinally by multiparameter flow cytometry, starting in acute HIV-1 i

170 Using multiparameter flow cytometry, we determined that the ce

171 Here, using both immunofluorescence and multiparameter flow cytometry, we focus on the pancreati

172 Utilizing multiparameter flow cytometry, we have defined a subset

173 Using bacterial display and multiparameter flow cytometry, we have developed a novel

174 Using multiparameter flow cytometry, we monitored phospho-prot

175 Using multiparameter flow cytometry, we studied KLRG1 expressi

176 This finding plus improvements in multiparameter flow cytometry, which has the potential a

177 nnate and adaptive immune cell subsets using multiparameter flow cytometry.

178 compatibility complex class I tetramers, and multiparameter flow cytometry.

179 hly active antiretroviral therapy, by use of multiparameter flow cytometry.

180 before and after expansion was determined by multiparameter flow cytometry.

181 n, the gammadelta T cells were quantified by multiparameter flow cytometry.

182 ion, fluorescence in situ hybridization, and multiparameter flow cytometry.

183 Apoptosis was measured by multiparameter flow cytometry.

184 cells collected from 2002 to 2005 underwent multiparameter flow cytometry.

185 d plasmacytoid DCs (pDC) were measured using multiparameter flow cytometry.

186 eport forms; MRD was determined centrally by multiparameter flow cytometry.

187 other MRD measurements, ie, mutant NPM1 and multiparameter flow cytometry.

188 negative for measurable residual disease by multiparameter flow cytometry.

189 ts of innate immune cells were delineated by multiparameter flow cytometry.

190 arrow aspiration and biopsy and eight-colour multiparameter flow cytometry.

191 elective aneurysm controls were analyzed by multiparameter flow cytometry.

192 h HIV gp140 protein (ENV) or GAG peptides by multiparameter flow cytometry.

193 recovery, and MRD was determined by 10-color multiparameter flow cytometry.

194 We performed multiparameter flow-cytometric analyses of GC B cells at

195 A multiparameter flow-cytometric analysis shows that lidoc

196 ubpopulations of complex cell populations by multiparameter flow-cytometric analysis.

197 Here, we used second-generation 8-color multiparameter-flow cytometry (MFC) to monitor MRD in 16

198 ciated immunophenotypes were investigated by multiparameter flowcytometry capable of detecting one le

199 solated from lymphoid organs and purified by multiparameter fluorescence activated cell sorting.

200 Our multiparameter fluorescence analysis allowed us to gain

201 Here we combine single-molecule multiparameter fluorescence detection and molecular dyna

202 r, by combining single-molecule and ensemble multiparameter fluorescence detection, EPR spectroscopy,

203 rster resonance energy transfer (smFRET) and multiparameter fluorescence detection, which allows us t

204 Live cell imaging employing multiparameter fluorescence image spectroscopy (MFIS) us

205 ite killing were investigated by mutational, Multiparameter Fluorescence Image Spectroscopy, and live

206 wGFP thus provides an additional channel for multiparameter fluorescence lifetime imaging microscopy

207 clin A complex by performing single-molecule multiparameter fluorescence spectroscopy, stopped-flow e

208 nzyme-linked immunosorbent assay (ELISA) and multiparameter fluorescence-activated cell sorting (FACS

209 Multiparameter fluorescence-activated cell sorting for o

210 We used a high-content multiparameter fluorescence-based cellular assay for MT

211 asminogen activator inhibitor 1, and certain multiparameter gene expression assays.

212 We use multiparameter geophysical and geochemical data to show

213 Automated screening of multiparameter health record data may assist in the pred

214 a chemical complementation assay linked with multiparameter high content cellular screening.

215 n, we developed a novel analysis protocol of multiparameter high-speed cell imaging in flow.

216 versity of fluorescent proteins, crucial for multiparameter imaging, is based mainly on chemical dive

217 ified in the blood of patients studied using multiparameter immunofluorescence analyses.

218 l, coupled with transcriptional analysis and multiparameter immunofluorescence staining demonstrated

219 ing medical intervention using data from the Multiparameter Intelligent Monitoring in Intensive Care

220 and patient outcomes were extracted from the Multiparameter Intelligent Monitoring in Intensive Care

221 anuary, 2001, to December, 2008, we used the Multiparameter Intelligent Monitoring in Intensive Care

222 A novel T cell library assay that affords multiparameter interrogation of rare Ag-reactive CD4(+)

223 The learning from multiparameter lead optimization and strategies to avoid

224 experimentally detected molecules based on a multiparameter match without need for additional analyse

225 In particular, single-cell multiparameter measurement enables powerful clustering,

226 e-molecule FRET imaging, providing real-time multiparameter measurements of complex molecular process

227 y that these differences may be reflected by multiparameter measurements of the blood.

228 Such multiparameter measurements of the in vivo microenvironm

229 th retrospective chart review and predictive multiparameter models developed with stepwise linear reg

230 croscopic parameters, both in physics and in multiparameter models in other areas of science.

231 e have shown that the collective behavior of multiparameter models is most often sloppy: insensitive

232 vation energy relationships (LSERs) or other multiparameter models of retention.

233 This model has potential for simultaneous multiparameter monitoring and testing of therapies that

234 Here, by using a multiparameter monitoring system, we show that Pi contro

235 Results highlight the potential for multiparameter monitoring via fluorescence spectroscopy,

236 rcomatoid differentiation in RCC on standard multiparameter MRI (mpMRI) images.

237 his study describes a novel application of a multiparameter MRI analysis algorithm, the Eigenimage (E

238 Multiparameter MRI measures of T(2), T(1), T(1) in the p

239 Several multiparameter neuromechanical models have reproduced th

240 e outcome prediction based on Gleason sum or multiparameter nomogram.

241 CNS calculated by the Central Nervous System-Multiparameter Optimization (MPO-CNS) algorithm were eva

242 tification, while structure-based design and multiparameter optimization enabled the development of c

243 Included is a simple multiparameter optimization function using only three pa

244 ing is shown to be an effective strategy for multiparameter optimization in drug design, whereby subs

245 Multiparameter optimization included securing adequate p

246 Further multiparameter optimization led to the design of the cli

247 Following a multiparameter optimization of a key aryl ring of the pr

248 Multiparameter optimization of a series of 5-((4-aminopy

249 ntelligence (AI) can address the challenging multiparameter optimization of cyclic peptides, but it r

250 anuscript, we detail the design criteria and multiparameter optimization of this novel series of PCSK

251 Drug discovery is a multiparameter optimization process in which the goal of

252 gnificantly enhancing central nervous system multiparameter optimization scores for predicted blood-b

253 as lower cLogP, high central nervous system multiparameter optimization scores, and high sp(3) chara

254 selective thermal meta-emitters by realizing multiparameter optimization with sparse data that encomp

255 protein 1 efflux, central nervous system PET multiparameter optimization, etc.).

256 e a versatile high-impact design element for multiparameter optimization, wherein >/=10-, 100-, or 10

257 M029 through covalent fragment screening and multiparameter optimization.

258 ndard theory to handle heterogeneous data is multiparameter persistent homology (MPH).

259 ictions into a topological pipeline based on multiparameter persistent homology(7-9), we identify cel

260 In this study, we used a multiparameter phosflow approach to analyze the phosphor

261 horseradish peroxidase using single-molecule multiparameter photon time-stamping spectroscopy with me

262 There is a critical need for high-speed multiparameter photophysical measurements of large libra

263 We used a multiparameter principal component analysis and an unbia

264 logy, are widely used to describe changes in multiparameter processes during the processing of food i

265 vity of the prioritization of compounds to a multiparameter profile of property criteria.

266 tonic sensor capable of highly sensitive and multiparameter profiling of biomarkers.

267 A multiparameter quality monitoring of three separate comm

268 Here, we have proposed a multiparameter quantitative and qualitative approach to

269 Multiparameter readouts from ligands labeled separately

270 We optimised multiparameter readouts to study emerging therapeutic cy

271 A multiparameter regression analysis for K(ia) prediction

272 A multiparameter scoring system that uses three gray-scale

273 Large-scale multiparameter screening has become increasingly feasibl

274 In this investigation, we used a multiparameter selection strategy, combining the in vivo

275 obes will pave the way for realizing compact multiparameter sensing solutions compatible with optical

276 rface plasmon polariton (SPP) resonances for multiparameter sensing.

277 an blood serums, paving a new way to develop multiparameters sensing for complex analytes.

278 In this study, we used multiparameter sensor measurements to relate assimilator

279 in position and momentum with a single-mode multiparameter sensor.

280 sed on upconversion and 2-photon absorption, multiparameter sensors, imaging, and sensors for extreme

281 Multiparameter sequential blood sample analysis was also

282 an emerging technology for high-dimensional multiparameter single cell analysis that overcomes many

283 sented here provides the tools necessary for multiparameter single cell analysis which will be critic

284 Using multiparameter single-cell analysis techniques, we explo

285 We used multiparameter single-cell detection methods to investig

286 ach that identifies a disease phenotype from multiparameter single-cell measurements, which is based

287 Using multiparameter single-cell sorting, one in 20 fetal bone

288 To interpret the multiparameter, single-cell MIC measurements, we adapted

289 This hypothesis is supported by multiparameter solvent effect factor analyses utilizing

290 A multiparameter sort of MOLT-4-contaminated human testicu

291 ecent technological and analytic advances in multiparameter spatial profiling, focusing on how these

292 cent proteins, step-wise photobleaching, and multiparameter spectroscopy, allows pigment-specific spe

293 Using this multiparameter structural approach, we can distinguish t

294 rdles linked to HE treatment, we conducted a multiparameter study using classical physicochemical cha

295 n and kinetics (E-CLocK) microscopy, a novel multiparameter super-resolution imaging technique enabli

296 ese responses is difficult in multicellular, multiparameter systems.

297 In this study, we developed a multiparameter technology, FlowBEAT, to quantify and pro

298 almost continuously, creating high-frequency multiparameter time series and raising the question of h

299 also emphasizes the value of high-frequency, multiparameter time series for identifying complex contr

300 ibed barcoding can be, for example, used for multiparameter titrations, multiplexed biological and ch