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 metry can detect thousands of molecules in a biological sample.

3 ing the entire S-acylproteome in any type of biological sample.

4 determine the locations of species within a biological sample.

5 imental images of two model substrates and a biological sample.

6 ware, but excluding the interaction with the biological sample.

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

8 fically and precisely detect analytes in the biological sample.

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

10 ctural identification of lipids in a complex biological sample.

11 oncentrate and purify cGAMP from any type of biological sample.

12 sequencing and imaging genomes within intact biological samples.

13 al for calibrating the depth scale of frozen biological samples.

14 urce and interactions, from distant stars to biological samples.

15 enrollee population and more than 2 million biological samples.

16 ERS configuration on both biological and non-biological samples.

17 allows to identify and quantify compounds in biological samples.

18 vities, and protein-protein interactions) of biological samples.

19 uantitation of 14 acylated lysine species in biological samples.

20 ichment of glycan, glycosites, and IGPs from biological samples.

21 ding further insights into lipid analysis of biological samples.

22 e enabled discovery and study of proteins in biological samples.

23 ce often severely impedes its application to biological samples.

24 environmental and drug-induced crosslinks in biological samples.

25 thods for EV detection and quantification in biological samples.

26 analysis of protein arginine methylation in biological samples.

27 ction and measurement of full-length oxFA in biological samples.

28 it a suitable candidate for encapsulation of biological samples.

29 onitoring metabolic plasticity in very small biological samples.

30 argeted analysis of metabolites from complex biological samples.

31 tive detection and quantification of HCHO in biological samples.

32 full molecular diversity present in complex biological samples.

33 the LC-DIA-MS untargeted analysis of complex biological samples.

34 ely utilized for transcriptomic profiling of biological samples.

35 e and identify active enzymes within complex biological samples.

36 quantification methods for HCHO relevant to biological samples.

37 not preserve the spatial characteristics of biological samples.

38 ross-linked proteins and peptides in complex biological samples.

39 he analysis of low abundant stereoisomers in biological samples.

40 for measuring fluid pressure in micro-scale biological samples.

41 of optimized clearing methods for different biological samples.

42 the observed effects despite variability of biological samples.

43 tract meaningful diagnostic information from biological samples.

44 the detection and quantitation of siRNA from biological samples.

45 ates, especially complex mixtures typical in biological samples.

46 ructural isomers, and their low abundance in biological samples.

47 ihydroxybenzoic acid, and hexane extracts of biological samples.

48 ability to enrich glycopeptides from complex biological samples.

49 l-based engineered nanoparticles (ENPs) from biological samples.

50 sfully applied to quantify 32 CKs in several biological samples.

51 hods to obtain information on the content of biological samples.

52 ad to significant advancements in preserving biological samples.

53 fficient in situ separations and clean-up of biological samples.

54 tive inactivation of virus contaminations in biological samples.

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

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

57 for the identification of pathology in MALDI biological samples.

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

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

60 ain technologies for quantifying proteins in biological samples.

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

62 essary to maintain the full functionality of biological samples.

63 spatiotemporal distribution of molecules in biological samples.

64 X-ray fluorescence microscopy of microscale biological samples.

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

66 ally detecting cardiac troponin I in complex biological samples.

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

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

69 criminate endogenous fluorophores present in biological samples.

70 protein abundance variations between complex biological samples.

71 ntify bioactive peptide targets from complex biological samples.

72 is peptide probe successfully detects ROS in biological samples.

73 and identification of metabolites in complex biological samples.

74 ion profiling of esterified drugs in complex biological samples.

75 lenges in detection of circulating miRNAs in biological samples.

76 trinsic transport properties of a variety of biological samples.

77 many lipid species as possible from complex biological samples.

78 osamine pool in technical aquatic systems or biological samples.

79 ining, and post sectioning staining (PSS) of biological samples.

80 ropagation in highly scattering colloids and biological samples.

81 tification of exact structures of glycans in biological samples.

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

83 could be conducted simultaneously between 14 biological samples.

84 quantifying ribose concentration in complex biological samples.

85 of specific peptides and proteins in complex biological samples.

86 do not result in damage of thermally labile biological samples.

87 s spectrometry imaging (MSI) of molecules in biological samples.

88 racterization of large amount of proteins in biological samples.

89 amyloid polymorphism in hydrated and complex biological samples.

90 able for lactate/pyruvate ratio detection in biological samples.

91 is perfectly suited for the interrogation of biological samples.

92 lication of SIMS on 3D molecular analysis of biological samples.

93 hich is widely applicable across challenging biological samples.

94 d for proteomic and metabolomic profiling of biological samples.

95 to underlying elemental distributions, as in biological samples.

96 ection method for the study of morphology in biological samples.

97 ching limits extended imaging of fluorescent biological samples.

98 omic profiling of low nanogram-level complex biological samples.

99 quantification of lipid species profiles in biological samples.

100 -GlcNAcylated proteins and the complexity of biological samples.

101 for proteomics and metabolomics analysis of biological samples.

102 etry and irradiation procedure of volumetric biological samples.

103 ping a citizen-science network to facilitate biological sampling.

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

105 In order to analyze those biological samples, a specific and sensitive workflow wa

106 generate increased higher mass signals from biological samples allowed intact lipid A (m/z 1796) to

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

108 0 metabolites across three different sets of biological samples analyzed with liquid chromatography-m

109 ms, thus the contrast difference between the biological sample and the surrounding resin is minimal.

110 s media for extraction of protein-containing biological samples and direct transfer in the chromatogr

111 All studies collected biological samples and followed-up study participants pr

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

113 trix that is obtained by sequencing multiple biological samples and identifying taxa counts.

114 IMS provides a convenient freeze-fixation of biological samples and leads to more controllable and co

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

116 hnique will be applicable to a wide range of biological samples and will help to improve the sensitiv

117 We combined large-scale biological sampling and phenotyping with restriction sit

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

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

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

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

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

123 requires the identification of biomarkers in biological samples, and serum proteomics is a useful and

124 or insulin, improving performance in complex biological samples, and yielding high stability.

125 ghters Biomonitoring Collaborative created a biological sample archive and analyzed levels of perfluo

126 Biomonitoring Collaborative (WFBC) created a biological sample archive and conducted a general suspec

127 Digital droplet assays-in which biological samples are compartmentalized into millions o

128 storing the genetic material extracted from biological samples are equally important.

129 r Transmission Electron Microscopy analysis, biological samples are generally embedded in resins, whi

130 Biological samples are mainly composed of elements with

131 (2)O concentrations on the signal profile of biological samples are unknown.

132 Our results support suboptimal biological sampling as a contributor to false-negative C

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

134 tions and enables accurate quantification in biological samples, as demonstrated by quantifying KRas,

135 or the direct mass spectrometric analysis of biological samples at ambient conditions.

136 hundreds of intact proteoforms from complex biological samples at low microgram sample amounts.

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

138 target identification using nanoparticles in biological samples based on analysing physico chemical i

139 for the identification of lipids in complex biological samples based on high-resolution mass spectro

140 valuable for quick quantification of EVs in biological samples, benefiting disease monitoring and fu

141 manner (without needs of redox probe in the biological samples), biomarkers of essential importance

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

143 Target ASOs were extracted from biological samples by hybridization with biotinylated se

144 odologies enable characterization of complex biological samples by increasing the number of cells tha

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

146 odies can be efficiently detected in complex biological samples by sterically inhibiting the hybridiz

147 Analysis of FA from biological samples can be achieved by mass spectrometry

148 undreds of proteins of interest from diverse biological samples can be targeted and accurately quanti

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

150 rt, for the first time, STED images of fixed biological samples collected in the epi-direction throug

151 und for physical activity questionnaires and biological samples collection.

152 of numerous enzymatically modified RNAs in a biological sample, conventional RNA extraction and enzym

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

154 In contrast, the analysis of other types of biological samples (e.g., saliva and urine) seems to be

155 tigations under harsh conditions but also on biological samples, e.g., living cells, due to the robus

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

157 swered a face-to-face interview and provided biological samples for genital HPV analysis.

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

159 nescent field sensing of liquid chemical and biological samples for MIR absorption spectroscopy.

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

161 or swift, cost-effective routine analysis of biological samples for separation of glycopeptides and g

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

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

164 ination of copper content in water and human biological samples from 5 s up to 48 h without complex i

165 We used data and biological samples from 871 mother-child pairs followed

166 e chemical composition of highly fluorescent biological samples from individual cells to environmenta

167 ged hunters as citizen scientists to collect biological samples from legally harvested black bears (U

168 ites were measured with mass spectrometry in biological samples from the same blood draw.

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

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

171 veloping methods to measure these species in biological samples has proven challenging.

172 changes at the molecular level in sensitive biological samples have not been addressed.

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

174 e sensitivity, and is compatible with common biological sample holders, including multi-well plates.

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

176 hesis, collecting data using questionnaires, biological samples, imaging data, and -omics.

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

178 le multiplexed quantitative analysis of many biological samples in a single LC-MS/MS experiment.

179 f the material and causes less damage to the biological samples in comparison to conventional (one-ph

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

181 a screening protocol for the infectivity of biological samples in this CWD slice culture model.

182 Imaging of complex (biological) samples in the near-infrared (NIR) is benefi

183 anisotropic properties of biological or non-biological samples, in phase and amplitude, at sub-micro

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

185 ein structures and interactions from complex biological samples including intact cells and tissues.

186 andards and then tested the applicability on biological samples including murine brain and human plas

187 l structural biology measurements in complex biological samples, including cells, isolated organelles

188 fferential and reproducible interrogation of biological samples, including deep sampling of the plasm

189 orm was applied to quantify SCFAs in various biological samples, including feces from stressed rats,

190 ctures and interactions in extremely complex biological samples, including intact living cells.

191 ) can produce high-resolution separations of biological samples, including microbial mixtures.

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

193 ic cathinones at nanomolar concentrations in biological samples is achieved.

194 ion of low-abundance molecular biomarkers in biological samples is challenging.

195 Detection of the CRISPR/Cas9 RNP within biological samples is critical for assessing gene-editin

196 Analysis of three-dimensional biological samples is critical to understanding tissue f

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

198 eptides and phosphopeptides from complicated biological samples is indispensable before MS determinat

199 diseases, its reliable detection in complex biological samples is necessary to obtain a complete eva

200 n chemical contaminant, in environmental and biological samples is necessary.

201 However, the often highly complex nature of biological samples is particularly challenging for MSI a

202 ion of modified amino acid (MAA) profiles in biological samples is related to important cellular, phy

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

204 l of X-ray nanotomography, in particular for biological samples, is limited by many factors, of which

205 specifically bind molecules on naive complex biological samples like cells or tissues.

206 ions of single colloidal particles, e.g., on biological samples like living cells, or to measure mech

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

208 ing pixel-resolved imaging at 250-500 Hz for biological sample material.

209 c, where comprehensive chemical profiling of biological samples may revolutionize a myriad of pathway

210 oncept of using a "boosting" sample (e.g., a biological sample mimicking the study samples but availa

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

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

213 ation and relative quantification of FFAs in biological samples of different origins.

214 olymer blend sample, before being applied to biological samples of mouse brain and lung.

215 The methods were applied to biological samples of Penicillium chrysogenum cultivatio

216 y and are limited to the soluble portions of biological samples or expose the polysaccharides to very

217 stable storage of DNA either extracted from biological samples or synthesized in a laboratory.

218 omprehensive profiling of lipid species in a biological sample, or lipidomics, is a valuable approach

219 cribe the PFAS profile in drinking water and biological samples (paired serum and urine) and to estim

220 ations in dual polarity molecular imaging of biological samples, particularly for lipids.

221 rized case-cohort studies that use extensive biological sampling, particularly focusing on early dise

222 Data are particularly complicated for biological samples, primarily due to overlapping spectra

223 tedious sample preparation requirements for biological samples prior to chemical analysis).

224 lso applied to extract analytes from complex biological samples prior to electrospray ionization-tand

225 Recorded information includes details on the biological samples, procedures, protocols, and experimen

226 Metabolic profiling of biological samples provides important insights into mult

227 mass spectrometry (LC-ESI-MS) experiments of biological samples remain unidentified.

228 Further analyses of biological samples revealed fundamental differences betw

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

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

231 at hospitals throughout the country and had biological samples (serum, plasma, or urine) tested for

232 to confirm the technique's applicability for biological samples, sheep red blood cells with various m

233 Here, we advance to biological samples, showing middle-down analyses of hist

234 ely recruited to an observational study with biological samples stored at presentation.

235 y and selectivity for targets within complex biological samples such as cell culture, tissue histolog

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

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

238 a wide potential utility for analyzing small biological samples such as single cells and tumor biopsi

239 acellular lactate and glucose flux for small biological samples such as single equine embryos.

240 the spatial distribution of ions in complex biological samples such as tissues.

241 w methods for measuring protease activity in biological samples such as tumor biopsies are needed.

242 llow for in situ extraction of peptides from biological samples, such as blood or plasma collected fr

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

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

245 The QBB repository can provide data and biological samples sufficient to demonstrate valid assoc

246 The same four biological samples taken in multiple replicates were pro

247 n be adapted for analysis of any biofluid or biological sample that can be analyzed by antibody array

248 this approach with a variety of man-made and biological samples that are incompatible with imaging in

249 This workflow is well suited to biological samples that cannot be readily isotope labele

250 m complex analysis on real three-dimensional biological samples that would otherwise be impossible by

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

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

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

254 ultaneous inference of various properties of biological samples, through multi-task and transfer lear

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

256 the selected H2 aptamer with the analysis of biological samples, thus facilitating the development of

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

258 world-to-chip" challenges are (1) delivering biological samples to DMF devices and (2) accurately con

259 ommunity, providing adequate health data and biological samples to enable evidence-based research.

260 ts, in applications ranging from analysis of biological samples to environmental analysis to forensic

261 n of bacterial load and cytokines from human biological samples to generate actionable hypotheses.

262 nic fixation methods) are necessary to adapt biological samples to the vacuum condition in the SIMS c

263 tate lifetime, polarization, and spectra) in biological samples, transcending existing limitations.

264 uent LC-MS metabolomics datasets of the same biological sample type.

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

266 erature-sensitive chemical, biochemical, and biological samples under various operating conditions.

267 -spectrum macrolide antibiotic, from various biological samples (urine, tears, plasma).

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

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

270 isticated workflow for understanding complex biological samples using ToF-SIMS images.

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

272 for IXC quantification in environmental and biological samples was verified with recoveries in the r

273 Using human, murine, algal and plant biological samples, we annotated and semiquantified 8,05

274 Remarkably, SCFAs of a biological sample were quantitatively determined within

275 Clinical data and biological samples were obtained at admission, days 3 to

276 PFHpS together with legacy PFAS in water and biological samples were quantified using LC/MS/MS.

277 canonical counterpart RNA, simulating a real biological sample where modifications exist but may not

278 Additionally, in biological samples where it is difficult to quantify spe

279 ve method for detecting specific proteins in biological samples, which can be performed in the field

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

281 is the inability to analyze a low amount of biological samples, which limits its access to isolated

282 area) the oxylipin and fatty acid content of biological samples while simultaneously acquiring full s

283 mics studies, it is important that data from biological samples will become publicly available with s

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

285 ET also links associated embryonic and adult biological samples with data, such as genotyping results

286 nation of anticancer and antibiotic drugs in biological samples with fast and sensitive methods is an

287 ecisely capture the mechanical properties of biological samples with force sensitivity and spatial re

288 ws accessing nanometric-scale information in biological samples with high precision.

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

290 (mdDiLeu) tags for quantification of various biological samples with increased multiplexing at a give

291 ing for rapid mass spectrometric analysis of biological samples with little or no sample preparation.

292 ical analysis, which adopts small numbers of biological samples with low analyte concentrations.

293 Mistakes in linking a patient's biological samples with their phenotype data can confoun

294 primarily dependent on the type of collected biological sample, with highest sensitivity observed in

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

296 ofluidic interface to physically confine the biological sample within the model environment, while al

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

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

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

300 osttranslationally modified proteoforms from biological samples, yet we still lack methods to systema