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1 genotyped 34,174 samples using a whole-exome microarray.
2 ollowed for six-months against a Ct-proteome microarray.
3 ing epitopes were identified by oligopeptide microarray.
4  and a hepatocellular carcinoma (HCC) tissue microarray.
5 pression in purified B cells was measured by microarray.
6 ulting compounds were used to construct a HS microarray.
7 earts at postnatal day (P) 1, P7 and P28 via microarray.
8 immunofluorescence in the PD-L1 index tissue microarray.
9  was subjected to transcriptome profiling by microarray.
10 on of lncRNAs and mRNAs was determined using microarray.
11 , or comparatively at the genome level using microarrays.
12 n assessments of the allograft tissue, using microarrays.
13 munostaining for CYP27A1 in annotated tissue microarrays.
14 mical microscopy (SECM) imaging of molecular microarrays.
15 is able to identify viable Legionella on DNA microarrays.
16  using Ras-functionalized supported membrane microarrays.
17 ene-expression changes using gene expression microarrays.
18 cross multiple regions in GBM patient tissue microarrays.
19 - and IgG4 -specific fluorescence on silicon microarrays.
20 riation by genotyping, with the Ovine SNP50K microarray, 394 individuals from five populations of fat
21 of 18 [27.8%]; P = .02) than for chromosomal microarray (8 of 101 [7.9%]).
22 er (ACC) were first screened by Taqman Human Microarray A-cards.
23 Net was generated from 57 rice anther tissue microarrays across all developmental stages.
24 cular tools for glycoscience, such as glycan microarrays, affinity resins, and reference standards.
25  then examined using whole-genome expression microarrays (Affymetrix).
26                                              Microarray analyses and confirmatory PCR and Western ana
27                                 We conducted microarray analyses of DF-1 and CEFs, under both normal
28                                              Microarray analyses revealed G-protein-coupled receptor
29                      Despite this reduction, microarray analyses suggested the existence of a residua
30                                        Using microarray analyses these subjects showed a reduction in
31    Using cell-based knockdown approaches and microarray analyses we found that (1) MYT1L is required
32                             Whole-transcript microarray analysis (770,317 probes, interrogating 28,85
33                                              Microarray analysis and comparison with human DKD showed
34                                              Microarray analysis and real-time PCR were used to exami
35                                  However, on microarray analysis C-82 treatment strongly up-regulated
36              In addition, the results of the microarray analysis corroborated previous findings conce
37                                         PBMC microarray analysis detected 117 genes that were differe
38                                     Although microarray analysis has identified localized determinant
39                                              Microarray analysis identified reduced reticulon-1 mRNA
40                                              Microarray analysis identified six miRNAs differentially
41 s in this study highlights the importance of microarray analysis in adults with unexplained childhood
42                                       An RNA microarray analysis of B16F10-Nex2 melanoma cells with S
43    Transcriptomic profiles were generated by microarray analysis of blood from 610 patients with asth
44                Consequently, gene expression microarray analysis of CD4(+) T cells following P. yoeli
45                    Differential cell counts, microarray analysis of cell pellets, and SOMAscan analys
46                                           By microarray analysis of DeltapflB, differential regulatio
47 ha on molecular pathways during nephritis by microarray analysis of glomerular extract gene expressio
48                                  Time-course microarray analysis of glomeruli during nephrotoxic seru
49                                              Microarray analysis of heart tissue RNA revealed that th
50 -IRIS, we performed longitudinal whole-blood microarray analysis of HIV-infected patients with TBM an
51                                              Microarray analysis of IL-17 family cytokines was perfor
52                                              Microarray analysis of IRE1alpha- and XBP1-depleted cell
53                                              Microarray analysis of miR-183 family cluster overexpres
54                              By performing a microarray analysis of mouse prostate tissue to screen d
55                         We first performed a microarray analysis of mPFC gene expression changes indu
56                                              Microarray analysis of mRNA from Ctcf CKO mouse hippocam
57                                              Microarray analysis of receptor activator of NF-kappaB l
58 enes involved in this process we performed a microarray analysis of RPE cells pre- and post-FR treatm
59  mechanisms through which ES affects repair, microarray analysis of wound biopsy samples was performe
60 re measured using reverse transcriptase PCR, microarray analysis or high-throughput sequencing.
61 1) to 10(5)GUmicroL(-1) were analyzed on the microarray analysis platform MCR 3.
62                                              Microarray analysis revealed a significantly modified pr
63                                              Microarray analysis revealed enhancements in IL-6- and I
64                                       Tissue microarray analysis revealed that >98% of ovarian cancer
65                                              Microarray analysis revealed that 214 mRNAs were upregul
66                                              Microarray analysis revealed that OsKO2, which encodes e
67                            mRNA profiling by microarray analysis revealed that the expression of PTPR
68                                              Microarray analysis showed enrichment of DNA replication
69                                        MiRNA microarray analysis showed OA specific exosomal miRNA of
70                                        Liver microarray analysis showed that high mIndy expression wa
71                                       Tissue microarray analysis showed that the disease-free surviva
72                                              Microarray analysis suggested downregulated macrophage m
73                In this study, we observed by microarray analysis that several type I IFN-associated g
74                        We conducted an miRNA microarray analysis using RNA from a parental cell line,
75                                              Microarray analysis was performed and gene expression ch
76                                              Microarray analysis was performed on blood samples from
77                                          The microarray analysis was performed on infected Arabidopsi
78 20 most differentially expressed genes after microarray analysis were identified across all condition
79 nificant differences at transcript levels by microarray analysis were identified for macrosclerid cel
80 lecular profiling, including DNA methylation microarray analysis, and did unsupervised class discover
81 and during akinete differentiation using DNA microarray analysis, and found to include multiple genes
82                                              Microarray analysis, quantitative RT-PCR, and immunoblot
83                                        miRNA microarray analysis, reverse transcription polymerase ch
84             In this study we analyzed, using microarray analysis, the bacterial modulation of miRNAs
85                                     Based on microarray analysis, we have identified a role for micro
86 microglial exosomes were collected for miRNA microarray analysis, which showed that the expression le
87 ose tissue biopsy samples were collected for microarray analysis.
88 d with H pylori P12 wt or P12Deltacgt, using microarray analysis.
89 re collected to measure gene expression with microarray analysis.
90         Gene expression was determined using microarray analysis.
91  genes, monitored by both flow cytometry and microarray analysis.
92 orted tonsillar ILC3s were assessed by using microarray analysis.
93 activation, combining polysome profiling and microarray analysis.
94 les per group was employed in transcriptomic microarray analysis.
95  7 and screened for possible effects by mRNA microarray analysis.
96 ults to those from four previously published microarray and BeadChip analyses of the same cell popula
97                                 Furthermore, microarray and chromatin immunoprecipitation sequencing
98 ponents were analyzed in sera using allergen microarray and compared between 5 French regions accordi
99 d significance was evaluated by using tissue microarray and immunohistochemistry.
100 , we performed a correlative gene-expression microarray and in vivo imaging analysis, and identified
101                                       Tissue microarray and microfluidics staining methods have emerg
102 provides a wealth of data but utilization of microarray and next generation sequencing (NGS) data for
103  allows visitors to access already processed microarray and NGS data from non-human primate models of
104                          Further analysis by microarray and qPCR indicated that the expression of FT
105                                              Microarray and qRT-PCR analysis of human hair follicles
106 nd gene expression profiles were compared by microarray and quantitative PCR analyses.
107                                              Microarray and quantitative polymerase chain reaction (q
108  with no history of periodontitis (H), using microarray and quantitative reverse transcription polyme
109 roxic lung injury using the omics platforms: microarray and Reverse Phase Proteomic Array.
110  concentrations of ammonium were analyzed by microarray and reverse transcription quantitative PCR, a
111 ation of GWAS and eQTL data from the TwinsUK microarray and RNA-Seq cohort in lymphoblastoid cell lin
112               Extension of the experiment to microarray and RNA-seq data from tendon identified gende
113 ent underlying biology of gene expression in microarray and RNA-Seq data.
114                   Transcriptomic approaches (microarray and RNA-seq) have been a tremendous advance f
115                              Here we show by microarray and RNAi that guanine nucleotide-binding prot
116                Recently, the high-throughput microarray and sequencing technologies have promoted the
117 d the production of a low-cost polymer based microarray and tested its analytical performance for int
118                       Using Biolog phenotype microarrays and comparative metabolite profiling we demo
119 mance using 16S rRNA gene-based phylogenetic microarrays and flow cytometry.
120         Here, using human lung cancer tissue microarrays and fresh frozen tissues, we found that the
121 lysis of data collected from 57 carbohydrate microarrays and identified molecular markers reflecting
122  (TD) children were compared by using lectin microarrays and lectin-magnetic particle conjugate-assis
123 ication of high throughput platforms such as microarrays and mass-spectrometry has indicated multiple
124 ents, immunohistochemical staining of tissue microarrays and mRNA expression analyses revealed a posi
125 ghly complex molecular technologies, such as microarrays and next-generation sequencing, have identif
126                                              Microarrays and other surface-based nucleic acid detecti
127 d gene expression changes using high-density microarrays and pathway analyses (Gene Ontology, Kyoto E
128                                 Using custom microarrays and proteomics to characterize expression re
129                                              Microarrays and RNA sequencing are widely used to profil
130                   Samples were genotyped via microarray, and SNPs that could not be genotyped were im
131 sing reverse transcription-quantitative PCR, microarrays, and flow cytometry, or indirectly, by the p
132 ation sequencing (ChIP-seq), protein-binding microarrays, and transcriptomic approaches.
133 ulfated proteins in yeast and human proteome microarrays, and we expect such approaches to contribute
134  We developed a high-throughput quantitative microarray antibody capture assay for anti-HDV immunoglo
135                             The quantitative microarray antibody capture assay's unique performance c
136 as hybridized onto Nanostring human v2 miRNA microarray array and expression data were analyzed on nS
137                       RNA-Seq has supplanted microarrays as the preferred method of transcriptome-wid
138  The platforms included (i) cellulose-coated microarray assay, (ii) enzyme-linked immunosorbent assay
139  continuous titer measurement from a protein microarray assay.
140 plications to performing such analyses using microarray based approaches are discussed.
141 edial-lateral axes of the chick tectum using microarray based transcriptional profiling and identifie
142                          A comprehensive DNA microarray-based assay was performed on all isolates to
143        We conducted an eQTL investigation of microarray-based gene and exon expression levels in whol
144                                        Using microarray-based gene expression profiling, we show that
145                                              Microarray-based genome-wide profiling indicated up-regu
146 jor CM proteins were measured with a peptide microarray-based immunoassay.
147                                              Microarray-based initial studies on the mechanism of act
148                                  Genome-wide microarray-based transcription analysis identified overe
149                                              Microarray-based transcriptomic analysis on iN cells fro
150  and bioluminescence) are downregulated, and microarray-based transcriptomics demonstrating that indo
151  Many methods exist for assessing CNAs using microarrays, but considerable technical issues limit cur
152 n-vaccinated mice and show that high-quality microarrays can be performed from RNA isolated from CD15
153  carbapenemase genes using a Check-MDR CT101 microarray (Check-Points, Wageningen, the Netherlands) a
154  a distinct location of the surface of a DNA microarray chip through specific hybridization with comp
155           Here we generated a set of genomic microarray chips covering about 8000 bp flanking the pre
156                                       Glycan microarrays containing a series of synthetic glycans res
157   Here, we created high-density carbohydrate microarrays containing chemically extracted cell wall po
158 s examined by immunohistochemistry on tissue microarrays, containing EAC, high grade dysplasia (HGD),
159 acent pancreatic tissue in 3 separate tissue microarrays covering 38 patients.
160                           Cytogenetics 2.7 M Microarrays/CytoScan HD arrays allowed mapping of homozy
161 munohistochemistry (IHC) staining and public microarray data analysis showing that DACH1 was higher i
162 t feature selection approaches developed for microarray data cannot handle multivariate temporal data
163                                   Expression microarray data from the kidney cortex and medulla, live
164                                       The HS microarray data guided the selection of compounds that c
165 ounding effects of ITH using gene expression microarray data obtained from multiple tumour regions of
166  involved in SA-induced folate accumulation, microarray data of responsive genes in Arabidopsis were
167                                      We used microarray data on whole blood from two independent case
168           Integration analysis of mRNA-miRNA microarray data revealed a potential role of 51 dysregul
169              Analysis of ovarian cancer gene microarray data showed that higher expression of Nectin-
170 and an R function which uses DNA methylation microarray data to infer tumor subtypes with the conside
171 nomes pathway enrichment cluster analyses of microarray data using wild-type and c-Jun-deleted macrop
172 n the present study, the whole transcriptome microarray data were generated from peripheral blood mon
173 ds developed for bulk RNA sequencing or even microarray data, and the suitability of these methods fo
174 ressed miRNAs in human cancers obtained from microarray data.
175 f false positives and false negatives in the microarray data.
176 uency) copy-number variants (CNVs) using SNP microarray data.
177 were also compared with a publicly available microarray dataset from a study of American college stud
178  study were also validated in an independent microarray dataset generated from MS hippocampus.
179 e set enrichment and pathway analysis of the microarray dataset showed enrichment in axon guidance an
180 e applied the general mixture model to three microarray datasets for lung cancer studies.
181                                          The microarray datasets from nine rice male sterile mutants,
182 d EBI ArrayExpress for human gene expression microarray datasets.
183  been done in maize (Zea mays), mostly using microarray datasets.
184 on of two cores of breast tumour tissue in a microarray, done in a central laboratory by technicians
185 veloped two species-specific gene expression microarrays, each targeting over 12 000 transcripts, inc
186 vidually addressable electrochemical droplet microarray (eDMA).
187 ginally designed to work with human or mouse microarray expression data for 21 cell or tissue (C/T) t
188 ed and subsequently used to develop a glycan microarray for high-throughput, fluorescence-based scree
189             The working range of the silicon microarray for total hen's egg-specific IgE was comparab
190 hemistry and in situ hybridization on tissue microarrays for 958 tumors.
191       The results demonstrate the utility of microarrays for high-resolution mapping of antibody resp
192            Last, the application of spheroid microarrays for spheroid-based drug screens was demonstr
193 for multiplexed NIR-fluorescence enhancement microarrays, for early cancer diagnosis and therapeutic
194 chemical markers (n = 727 women) and Agilent microarrays, for MammaPrint risk scoring (n = 652 women)
195                                    A polymer microarray formed from commercially available monomers t
196  blood mononuclear cells were quantified via microarray gene chips.
197                                              Microarray gene expression analysis indicated downregula
198  Importantly, the bioinformatics analysis of microarray gene expression data derived from a set of hi
199                                       Paired microarray gene expression data derived from peripheral
200 n an assay on the NanoString platform, using microarray gene expression data of matched fresh frozen
201 tein interaction (PPI) network, we simulated microarray gene expression data under case and control c
202                                              Microarray gene expression profiling of IVIg-generated p
203                                 We performed microarray gene expression profiling on a large sample o
204 onal eQTL analysis in 4,896 peripheral blood microarray gene expression samples.
205                                              Microarrays have allowed the interrogation of thousands
206                              Single molecule microarrays have been used in quantitative proteomics, i
207 suicide and depression using oligonucleotide microarrays have often failed to distinguish these two p
208 tive reverse transcription-PCR (qRT-PCR) and microarrays have shown a significant transient upregulat
209 r IgE reactivity to a comprehensive panel of microarrayed HDM allergen molecules and to S. aureus and
210 ablished using the shotgun human milk glycan microarray (HM-SGM-v2) showed fair-to-poor correlation,
211 uctures has been demonstrated by fluorescent microarray immunoassay and LSPR measurements, recording
212 l (electron microscopy), biochemical (GC-MS, Microarray immunoassay, Rock-Eval) and spectroscopic (ED
213 DFIC interaction, we performed a genome-wide microarray in intact and MDFIC-deficient A549 cells that
214 ication of the phase III randomized MINDACT (Microarray in Node-Negative and 1 to 3 Positive Lymph No
215  NADSYN1 and TCF7) that were concealed using microarrays, including four non-coding RNAs.
216                                A comparative microarray investigation of the EPiR response reveals a
217  This suggests that the copoly(DMA-NAS-MAPS) microarray is a low-cost, self-producible alternative to
218                                Our plasmonic microarray is composed of gold nanohole sensor arrays th
219               In human prostate tumor tissue microarrays, loss of PTEN correlates with increased PTK6
220                                              Microarray mapping and RNase H cleavage identified acces
221 O specificities of lectins established using microarrays may not accurately reflect their true HMO-bi
222 ic data while new data types include protein microarray, metabolic pathways, compounds, quantitative
223                                          The microarray method and reaction system were optimized.
224                                              Microarray methods provided new information in 47% of th
225                                    Using GEM microarray model, we found ARF dysregulates Hippo and Wn
226                         We explored a tissue microarray of 1,432 primary breast tumors from patients
227                           Analyzing a tissue microarray of 608 breast carcinoma patient specimens, we
228                      We constructed a tissue microarray of 999 colon cancer specimens from patients w
229                                          The microarray of antibody droplets can be prespotted on a s
230  genes indicative of AMI were nominated from microarray of enriched CEC samples, and then verified fo
231 vation, we performed large-scale comparative microarrays of murine bone marrow-derived mast cells and
232                                              Microarrays of proximal tubular cells and podocytes with
233                                        Using microarrays of synthetic oligosaccharides, the LM26 epit
234  PennCNV-Affy software to analyze Affymetrix microarrays of the first 152,728 genotyped individuals.
235 rwent whole-genome sequencing and expression microarray on bulk biospecimens.
236  recombinant HDV delta antigen is printed by microarray on slides coated with a noncontinuous, nanost
237                   Applying genome-wide miRNA microarrays on the phenotypically distinct smooth muscle
238 e to the expression data generated by either microarray or RNA-seq platforms.
239 used simulation data as well as experimental microarray or sequencing data to illustrate the usefulne
240 erimental methods, including protein binding microarrays (PBM) and high-throughput SELEX (HT-SELEX),
241  motifs from methods such as protein-binding microarrays (PBMs) and systematic evolution of ligands b
242                      Using a high-resolution microarray platform and established methods to assess co
243 ofile in childhood obesity using an Illumina microarray platform on sorted monocytes of 35 obese chil
244  or living cell screenings using the droplet microarray platform with the sequential electrochemical
245 of publicly deposited data across a range of microarray platforms and RNA-Seq data.
246 the accuracy and information obtained by two microarray platforms applied on a well-characterized ped
247 U133 Plus 2.0 are the two most commonly used microarray platforms for human samples; the HG-U133 Plus
248                                          The microarray platforms studied here demonstrated acceptabl
249 lations between RNA sequencing (RNA-seq) and microarray platforms, but have not studied their concord
250            The main read-out methods of most microarray platforms, however, are based on optical tech
251             We assessed the microRNA (miRNA) microarray profile of tissues derived from Lebanese pati
252                                              Microarray profiles in CCA samples (n = 104) showed decr
253  AF onset) TG mice were investigated by mRNA microarray profiling in comparison with age-matched wild
254 s differentially expressed, using NanoString microArray profiling, were validated with qPCR.
255 signment approaches to simulate results from microarray/qRT-PCR platforms and a local probabilistic m
256 al approaches, such as bisulfite sequencing, microarrays, quantitative real-time PCR, colorimetry, Ra
257 ts of transcriptional profiling using custom microarrays representing 1,042 genes in the drosophilid
258 ntitative polymerase chain reaction and mRNA microarray, respectively, on lung tissue of 30 patients
259               qRT-PCR analysis confirmed the microarray results, that KIR2DL4, IL6 and SELE were high
260 , and we replicated previous human and mouse microarray results.
261  all transcriptome-wide PE analyses to date (microarray, RNA-Seq and PAS-Seq) are NRIP1 (RIP140), a t
262  and immunoprecipitation, mass spectrometry, microarray, several knockdown approaches, CRISPR-Cas9, a
263 these genetic connections, splicing-specific microarrays show that H2A.Z and the Swr1 ATPase are requ
264 f the antibody solutions nor a sophisticated microarray spotter is needed.
265                   Several large scale tissue microarray studies have revealed that the expression of
266 graphy-mass spectrometry (HPLC-MS) assay and microarray study were conducted on transcriptome changes
267 iation studies are typically performed using microarray technologies that only assay a very small fra
268 ng, quantitative real time PCR (qRT-PCR) and microarray technology besides novel techniques based on
269 ssinus were tested by means of ImmunoCAP and microarray technology, respectively, in sera collected a
270                                              Microarray testing offers opportunities for improved sIg
271 in clinical diagnostics using cytogenetic or microarray testing.
272 ed target genes of Arabidopsis Thaliana from microarray time series data obtained under multiple biot
273 hodological approach that combines Phenotype MicroArray(TM) and SSR genotyping appeared useful to ass
274 ery different metabolic profile by Phenotype MicroArray(TM).
275     In this study, the application of tissue microarray (TMA) analysis to a sample of femoral bone sp
276  early stage NSCLC from digitized H&E tissue microarray (TMA) slides.
277  imaging have demonstrated that large tissue microarrays (TMA) can be imaged in a matter of minutes.
278 two independent clinical cohorts from tissue microarrays (TMA: n = 208 patients) and whole sections (
279 ican American (AA) and 144 White TNBC tissue microarrays (TMAs) pooled from four hospitals.
280 ed the ability of the polymer coated silicon microarray to be comparably sensitive to the ImmunoCAP I
281 this study, we used a variola virus proteome microarray to characterize and differentiate antibody re
282                            We have used this microarray to interrogate the C-terminal tails of a smal
283 evaluation, and high-resolution whole genome microarray to investigate for a genetic causal link to i
284        In light of these findings, we used a microarray to investigate the expression patterns of oth
285 eQTL integration have predominantly employed microarrays to quantify gene-expression.
286 ne expression was compared quantitatively by microarrays using RNA extracted from all three condition
287                                 The mimotope microarray was applied to the analysis of fumonisin B1 i
288 son, a flow-based chemiluminescence (CL) DNA microarray was developed that is able to quantify viable
289 A 6 x 6 recessed Au nanoring-ring electrodes microarray was fabricated over a glass substrate using f
290 m, whereas for total cow's milk, the silicon microarray was less sensitive.
291                   Comparative ImmunoCAP ISAC microarray was performed in patients with food allergy o
292   In this cross-sectional study, genome-wide microarray was used to evaluate a cohort of 143 adults w
293                              Using a circRNA microarray, we identified 226 differentially expressed c
294 on pipelines and an exome-tiling chromosomal microarray were also applied to identify intragenic CNVs
295                      The results of the mRNA microarray were confirmed in isolated CD4+T cells and in
296                                 Carbohydrate microarrays were generated to enable the detailed epitop
297                                              Microarrays were used to compare the skin and tuber-fles
298 n sequencing, autozygosity mapping, and apex microarray, were tried to reach a diagnosis; all partici
299 wo key contemporary techniques in the field: microarrays, which quantify a set of predetermined seque
300           Probing a custom-designed proteome microarray with sera from 35 healthy US adults revealed

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