ライフサイエンスコーパス: biological sample

1 re the analysis (for example, in the case of biological samples).

2 proximity ( approximately 10 microm) to the biological sample.

3 activity for each expressed gene in a given biological sample.

4 ucing contribution of auto-fluorescence from biological sample.

5 s typically require feedback from within the biological sample.

6 spatial distribution of molecules in a given biological sample.

7 to identify the thousands of compounds in a biological sample.

8 d light from gold nanoparticle that labels a biological sample.

9 ctrum that matches the MS/MS spectrum from a biological sample.

10 fically and precisely detect analytes in the biological sample.

11 t SHG-generating components within a complex biological sample.

12 ctural identification of lipids in a complex biological sample.

13 s in a fraction of somatic cells in a single biological sample.

14 tive inactivation of virus contaminations in biological samples.

15 g target biomolecules and cells from complex biological samples.

16 oncentrations of analyte ions in aqueous and biological samples.

17 s depend on the availability of high-quality biological samples.

18 ts of these compounds in human CSF and other biological samples.

19 ut no endocrine disruptors were found in the biological samples.

20 multiplex analysis of biomarkers from small biological samples.

21 thylation difference under two conditions of biological samples.

22 precedented insights into the RNA content of biological samples.

23 y affects fluorescence-based measurements on biological samples.

24 turn-on assays of spermine and spermidine in biological samples.

25 nabinoid derivatives in seized materials and biological samples.

26 irmed to be excellent by employing different biological samples.

27 detection and enrichment of rare cells from biological samples.

28 detecting redox-active species from diverse biological samples.

29 ods to release glycans from diverse types of biological samples.

30 n of various types of -omic data on the same biological samples.

31 ous detection of multiple targets present in biological samples.

32 d quantify regioisomers of monoglycerides in biological samples.

33 using double-stranded reference templates or biological samples.

34 nces to be generated from minimal amounts of biological samples.

35 s have been developed to detect kanamycin in biological samples.

36 oximately 150 mM) that is normally used with biological samples.

37 ain technologies for quantifying proteins in biological samples.

38 g cost-effective, high-resolution imaging of biological samples.

39 RNA profiling to reveal connections between biological samples.

40 ntifying and quantifying proteins in complex biological samples.

41 the molecular composition and morphology of biological samples.

42 clusively identify the respective peptide in biological samples.

43 type may make it possible to use ElFFF with biological samples.

44 e for easy estimation of Hyp in collagen and biological samples.

45 e, which can be of vital importance for many biological samples.

46 rticular, metals at the subcellular level in biological samples.

47 of these metals are commonly encountered in biological samples.

48 maging of multiple divalent metals in opaque biological samples.

49 prove the identification of glycopeptides in biological samples.

50 essary to maintain the full functionality of biological samples.

51 , making it impossible to track these NPs in biological samples.

52 iding a new tool to characterize pigments in biological samples.

53 rombin and potentially other biomolecules in biological samples.

54 chieve broad metabolome coverage in specific biological samples.

55 nts autofluorescence and light scattering of biological samples.

56 g system enables detection of Zn(2+) in real biological samples.

57 adducts induced by DNA alkylating agents in biological samples.

58 X-ray fluorescence microscopy of microscale biological samples.

59 ping of the chemical composition of complex, biological samples.

60 h-throughput glycomic analysis from multiple biological samples.

61 y those with low molecular weight in complex biological samples.

62 a large scale directly from the extracts of biological samples.

63 owerful tools for ultrastructural imaging of biological samples.

64 can be reliably used for ATP measurement in biological samples.

65 a foundation for detection of this lesion in biological samples.

66 e-reactive bands of the expected size in any biological samples.

67 lly applied for determination of dopamine in biological samples.

68 tractive methods for the characterization of biological samples.

69 als, such as the typical autofluorescence of biological samples.

70 induced mono and cross-linked DNA adducts in biological samples.

71 in both untargeted and targeted analysis of biological samples.

72 tes N-hydroxy-PHIP, 4-OH-PHIP and PHIP-M1 in biological samples.

73 ally detecting cardiac troponin I in complex biological samples.

74 quantitative analysis of 4-PCB 11 sulfate in biological samples.

75 dedicated to mass spectrometric analysis of biological samples.

76 iomarkers associated with disease in complex biological samples.

77 the study of protein-protein interactions in biological samples.

78 x and inhomogeneous, as is often the case in biological samples.

79 ication of proteins across a large number of biological samples.

80 ation mass spectrometry (ESI-MS) analysis of biological samples.

81 one of the most powerful tools for studying biological samples.

82 lecular descriptor for identifying lipids in biological samples.

83 lysis in whole serum samples and other human biological samples.

84 anions, and biomolecules in solution and in biological samples.

85 standards, which mimic native molecules, to biological samples.

86 utamic acid (Glu) in cell cultures and other biological samples.

87 ing and quantifying thousands of proteins in biological samples.

88 to characterize complex metabolic changes in biological samples.

89 ating and identifying their metabolites from biological samples.

90 lex laboratory procedures for MS analysis of biological samples.

91 tabolites in metabolomics studies of complex biological samples.

92 for sample preparation on a range of complex biological samples.

93 ally, our method was successfully applied to biological samples.

94 detection of specific ssDNA sequence in real biological samples.

95 to detect tens of thousands of features from biological samples.

96 f metabolites and lipids that are present in biological samples.

97 ification of a wide range of gangliosides in biological samples.

98 criminate endogenous fluorophores present in biological samples.

99 protein abundance variations between complex biological samples.

100 ntify bioactive peptide targets from complex biological samples.

101 is peptide probe successfully detects ROS in biological samples.

102 and identification of metabolites in complex biological samples.

103 mpatibly interface E-AB sensors with complex biological samples.

104 ion profiling of esterified drugs in complex biological samples.

105 lenges in detection of circulating miRNAs in biological samples.

106 trinsic transport properties of a variety of biological samples.

107 many lipid species as possible from complex biological samples.

108 osamine pool in technical aquatic systems or biological samples.

109 ropagation in highly scattering colloids and biological samples.

110 tification of exact structures of glycans in biological samples.

111 tion of their change in abundance in complex biological samples.

112 could be conducted simultaneously between 14 biological samples.

113 synuclein multimer abundance between complex biological samples.

114 r detection of different proteins present in biological samples.

115 ons have to be detected in a small amount of biological samples.

116 great potential for the analysis of VEGF in biological samples.

117 e, and the challenges associated with serial biological sampling.

118 , cost-effectiveness, and minimally invasive biological sampling.

119 ision relative standard deviation is 14% for biological samples, 6% for silica nanoparticles, and les

120 In the analysis of oligosaccharides from biological samples, a strict regime is typically followe

121 ion through PCDI with a cryogenically cooled biological sample--a budding yeast cell (Saccharomyces c

122 otential practical applicability in terms of biological sample analysis (human plasma), temporal stab

123 maging of different areas of interest within biological sample and also the spatial separation of GNP

124 s at each volumetric element, or voxel, of a biological sample and ion accumulation in the C-trap exc

125 on of specific target sequences in a complex biological sample and their subsequent purification.

126 studying gene expression differences between biological samples and for discovering novel isoforms, t

127 esolution non-invasive molecular analysis of biological samples and has a breakthrough potential for

128 permit studies of electron dynamics in live biological samples and next-generation electronic materi

129 of isotopologues as well as isotopomers from biological samples and provides a platform to drive the

130 observation of whole complex proteoforms in biological samples and provides crucial information comp

131 take and oxidation experiments with the same biological samples and show differential results in resp

132 acoustic field, which is biocompatible with biological samples and with the ambient liquid.

133 sented to HIV-1 RNA testing twice a week and biological sampling and risk assessment every 3 months d

134 f incident polarisation states illuminates a biological sample, and analysis of sample-altered polari

135 ary studies designed to use the participant, biological sample, and data resources of ongoing and com

136 f antioxidant capacity of single and complex biological samples, and changes colour from purple to ye

137 is compact in size, is suitable for various biological samples, and enables highly multiplexed quant

138 bility, compatibility with hydrated and live biological samples, and excellent molecular specificity

139 red saline (PBS), a typical ionic medium for biological samples, and for two nonionic materials commo

140 Each provided demographic data, biological samples, and information about birth outcomes

141 nology aims to map the protein landscapes of biological samples, and it can be applied to a variety o

142 and quantification of proteins in imaging of biological samples are a challenge in today's science.

143 n MS data from chromatographic separation of biological samples are complex and analyte concentration

144 n of different types and levels of miRNAs in biological samples are therefore critical milestones in

145 ations of as many metabolites extracted from biological samples as possible.

146 The procedure is suited especially for biological samples, as a constant dark matrix with a var

147 bility, high sensitivity and selectivity for biological sample assays, opening new doors for other ap

148 nd sensitive analysis of proteins in complex biological samples at both, qualitative and quantitative

149 dvent of MR microscopy (MRM) enables imaging biological samples at cellular resolution, helping to in

150 tly screen other viral DNAs in various human biological samples at the single-molecule level without

151 quantitation of unsaturated FAs from various biological samples (blood, plasma, and cell lines).

152 as a tool for not only detecting biocides in biological samples, but also mapping their distribution.

153 analysis of intact glycopeptides in complex biological samples by allowing the users to generate spe

154 Imaging of fully hydrated, vitrified biological samples by electron tomography yields structu

155 of the sPRM workflow was assessed in complex biological samples by first targeting 532 peptide precur

156 mination of the delta(13)C value of CH3Hg in biological samples by gas chromatography combustion isot

157 nternal standard during MC quantification in biological samples by mass spectrometry and alkyne-label

158 ranslational modification (PTM) from complex biological samples by shotgun proteomics.

159 f sample preparation, LPL species present in biological samples can be determined by the established

160 suring ratios of proteotypic peptides across biological samples can be used to empirically identify p

161 X-ray fluorescence microscopy of biological samples can map elements in vivo at subcellul

162 Therefore, quantitative analysis of DAGs in biological samples can provide critical information to u

163 hods to detect specific enzyme activities in biological samples can provide information to guide dise

164 it detects differential labeling patterns in biological samples collected from parallel control and e

165 und for physical activity questionnaires and biological samples collection.

166 p (MC), highly compatible with extremely low biological sample consumption, the strategy allowed the

167 lerating point-of-care applications, in that biological samples could be applied to a transducer that

168 Simulated biological samples, desalted by ultrafiltration in the p

169 g synthetic mixtures and then applied to two biological samples, Drosophila melanogaster extracts and

170 garded as a poor method to observe unstained biological samples due to intrinsic low image contrast.

171 and discover metabolic and lipid profiles in biological samples, enabling a better understanding of t

172 nalysis of several thousands of species from biological samples, enabling data mining and automating

173 analysis tools that have direct contact with biological samples, especially biohazardous materials, a

174 Observational study and analysis of biological samples for antibodies to DNER at the hospita

175 banking is a widespread practice for storing biological samples for future studies ranging from genot

176 white [90.9%], 81 nonwhite [9.1%]), 413 had biological samples for KRAS-variant testing, and 376 had

177 uniformly highly isotope-enriched and native biological samples for selective detection of the entire

178 Control and Prevention (CDC), and submitted biological samples for testing.

179 ualization of heterogeneous ion transport of biological samples for the first time.

180 e in quantitative detection of bacteria in a biological sample, for example, a rat blood sample spike

181 of terms that should be used to describe the biological samples from which the sequencing data are de

182 of this biosensor approach to analyze human biological samples has been demonstrated by directly ana

183 lomics workflow for the global annotation of biological samples has been further developed and extend

184 plication of electron microscopy to hydrated biological samples has been limited by high-vacuum opera

185 to the metabolism of xenobiotics in complex biological samples has not been possible.

186 ng and quantifying biomarkers and viruses in biological samples have broad applications in early dise

187 on the metabolome coverage of MeOH extracted biological samples, highlighting the importance of the r

188 Imaging palladium in biological samples, however, is becoming increasingly im

189 tic miRNA and Escherichia coli cultures) and biological samples (human tissue and plasma).

190 s which could expand the application towards biological samples (i.e., urine and feces).

191 play by (i) enabling the analysis of complex biological samples, (ii) circumventing the traditional l

192 l-cell interactions occurring between living biological samples, imaging methods with appropriate spa

193 ltiple disease-related targets from a single biological sample in a quick and reliable manner is of h

194 echnologies are able to sense the state of a biological sample in a very wide variety of ways.

195 can be useful for high resolution imaging of biological samples in electron and X-ray microscopy.

196 ld enable characterization and separation of biological samples in ElFFF.

197 plete characterization of all metabolites in biological samples in terms of both their identities and

198 for single-particle TIRF microscopy of dense biological samples in which the intensity itself is an o

199 e for simple and rapid metabolic analysis of biological samples including blood, urine, and biopsies.

200 STOMP can be applied to various biological samples including cell lines, primary cell cu

201 ssess its native oligomerization states from biological samples including human postmortem brains.

202 roblems and enable the quantitative study of biological samples, including ratiometric imaging in 1D,

203 Many human biological samples, including serum, have been used to d

204 ntify cell subpopulations in a heterogeneous biological sample, infer cell identities of each subpopu

205 e information on metabolites across multiple biological samples, integrated computational workflows f

206 Fixation of biological sample is an essential technique applied in o

207 Barcoding of biological samples is a commonly used strategy to mark o

208 sphopeptides/phosphoproteins enrichment from biological samples is cumbersome because of their low ab

209 , and the capability to measure carbon-14 in biological samples is demonstrated by comparing pharmaco

210 chemical and topographic imaging of complex biological samples is demonstrated using living Bacillus

211 he total organofluorine in environmental and biological samples is in the form of unknown PFASs.

212 tion of diphenyl phthalate (DPP) in food and biological samples is presented.

213 te inference of aberrant protein activity in biological samples is still challenging as genetic alter

214 ifferentially expressed genes (DEGs) between biological samples is the key to understand how genotype

215 The state of water, the main constituent of biological samples, is crucial for the success of cryoge

216 posable microfluidic chamber for handling of biological samples, is highly desirable.

217 oped strategy enriches phospho- content from biological samples like phosvitin and lipovitellin from

218 PSs are found at low concentrations in biological samples, making MS/MS spectra difficult to ob

219 tremely small quantities of DNA from complex biological sample matrices represents a significant bott

220 the detection and identification of various biological samples; nonetheless, its true potential in r

221 reversibly oxidized by comparing two complex biological samples obtained from yeast cell cultures at

222 MSI proved to be ideally suited for imaging biological samples of complex topography in their native

223 dology appears to be effective also to study biological samples of considerable complexity.

224 RNASeq data were collected from six biological samples of soybeans growing with or without w

225 sment of the total antioxidant activity of a biological sample or a plant extract is therefore largel

226 mparisons of replicates contrasted by batch, biological sample, or experimental condition, revealing

227 Delicate structures (such as biological samples, organic films for polymer electronic

228 ification but remains difficult to detect in biological samples owing to its low stoichiometric abund

229 Profiles of phenolic acids in biological samples, plasma markers of metabolic disease

230 , these methods usually involve a process of biological sample preparation followed by a separation m

231 nd improves both the speed and simplicity of biological sample preparation for high-resolution struct

232 cope would be transformative in the study of biological samples, provided that radiation damage could

233 erent drugs and their metabolites in various biological samples, ranging from cell-based models to ti

234 rometry (LC/TOF-MS) ion signals in a complex biological sample remains challenging since many ions ar

235 atios with dissimilar drift times in complex biological samples removes some systematic distortions i

236 Biosensing within complex biological samples requires a sensor that can compensate

237 Comprehensive profiling of GSL headgroups in biological samples requires the use of endoglycoceramida

238 Further analyses of biological samples revealed fundamental differences betw

239 We evaluate the feasibility of using a biological sample's transcriptome to predict its genome-

240 For 20 typical biological samples (serum and plasma from healthy indivi

241 proaches yielding more information from more biological samples simultaneously.

242 cles (NPs) in commercial, environmental, and biological samples since current detection techniques re

243 sessed the feasibility of directly measuring biological samples such as human serum.

244 ECT) can produce three-dimensional images of biological samples such as intact cells in a near-native

245 ction of low abundance proteins from complex biological samples such as serum and cell lysate.

246 Biological samples such as tissues, blood, or tumors are

247 ctrometry-based imaging (MSI) experiments of biological samples such as tissues.

248 ts exhibited excellent penetrability through biological samples such as whole blood, and show the ECL

249 w to effectively formulate the sequence of a biological sample (such as DNA, RNA or protein) with a d

250 heterogeneously distributed d-AAs in complex biological samples, such as cells and multicellular stru

251 used to detect gold nanoparticles (AuNPs) in biological samples, such as cells and tissues, by ionizi

252 multiple datasets describing the same set of biological samples, such as gene expression, copy number

253 allows imaging and analysis of a variety of biological samples, such as living cells.

254 ification of bioagents, including viruses in biological samples, such as plasma and artificial saliva

255 As examples of the range of biological samples that can be analyzed, we provide inst

256 Molecular biomarkers are changes measured in biological samples that reflect disease states.

257 In the biological samples, the achieved signal improvements var

258 for detection of enzyme activity in relevant biological samples, the culture filtrate of A. niger gro

259 copy (ExM) uniformly increases the size of a biological sample, thereby circumventing the limits of o

260 pose that in the absence of plasmon waves in biological samples, these evanescent fields reflect the

261 deoxynucleotides (ssODNs) to profile complex biological samples, thus achieving an unprecedented cove

262 Localization microscopy allows biological samples to be imaged at a length scale of ten

263 ts, have previously relied on the pooling of biological samples to overcome detection limits, particu

264 oved methods should open up more challenging biological samples to XFEL analysis.

265 le small molecular compounds across multiple biological sample types from the same subjects with the

266 pplicability to a wide range of physical and biological samples under ambient conditions.

267 fic detection of the virus in solution and a biological sample (urine).

268 s (dark chocolate, banana, gouda cheese) and biological samples (urine and blood plasma) signifying i

269 One major challenge is that biological samples used to generate and validate the sig

270 present a phase-contrast microtomogram of a biological sample using betatron X-rays.

271 e detection of a target RNA of interest in a biological sample using standard benchtop equipment.

272 the purification of mRNA (mRNA) from complex biological samples using a real-time reverse transcripti

273 ellular metabolism, which can be detected in biological samples using metabolomic techniques.

274 dized (GSSG) and total (tGSH) glutathione in biological samples using molecular speciated isotope dil

275 r detecting quantitative differences between biological samples using MS.

276 ance mode mass spectrometry imaging (MSI) of biological samples using nanospray desorption electrospr

277 hput and comprehensive lipidomic analysis of biological samples using ultrahigh-performance supercrit

278 types of gold nanoparticles (GNPs) within a biological sample, using lock-in detection.

279 ation of delta(13)C(CH3Hg) values on natural biological samples was performed by combining a CH3Hg se

280 nanosensor for detection of Metronidazole in biological samples was reported.

281 chnique can in principle be applied to other biological samples where specific molecular identificati

282 lative abundances of numerous metabolites in biological samples, which is useful to many areas of bio

283 ug/mL and 0.14-0.38mug/mL, respectively, for biological samples while for food samples they were in t

284 ion simultaneously can be generated for each biological sample with PA measurements at multiple optic

285 ion of the TIRF images enabled 3D imaging of biological samples with 20-nm axial resolution.

286 for capture and concentration of copper from biological samples with 8-hydroxyquinoline as a colorime

287 enable bioimaging of peptides and lipids in biological samples with few-micrometer resolution and ac

288 idly detect and quantify levels of TETS from biological samples with high sensitivity.

289 ite conversion-free method can be applied to biological samples with limited starting material or low

290 nosensors for monitoring of PLA2 activity in biological samples with minimal sample preparation.

291 probe experiments to the imaging of complex biological samples with multiple wavelength anomalous di

292 Stored biological samples with pathology information and medica

293 inventory of protein compounds present in a biological sample, with the long-term objective of creat

294 ication of bionanoparticle concentrations in biological samples, with a special focus on non-high-den

295 rge-molecule proteins at the intact level in biological samples without digestion.

296 eful for rapid target isolation from complex biological samples without preparatory and washing steps

297 mits absolute quantitation of metabolites in biological samples without the requirement for reference

298 ility of imaging, tracking, and manipulating biological samples without time limitations.

299 direct analysis of DPP in selected food and biological samples, without any sample treatment and avo

300 However, given a small number of biological samples yet a large number of genes, this pro