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1 and presence of autoantibody was detected by microarray.
2 llergens and two irritants were analyzed via microarray.
3 oarray, we used the BUGS Bioscience Senti-SP microarray.
4  recipients post-transplantation by allergen microarray.
5 g site was performed via overlapping peptide microarray.
6 ffected and control horses using an allergen microarray.
7 efficient mass transfer of an analyte onto a microarray.
8 geal pneumococci were molecular-serotyped by microarray.
9 nalysis, and mRNA expression was analyzed by microarray.
10   Gene expression profiles were analyzed via microarray.
11 o epoxy glass slides as an O-glycome shotgun microarray.
12 try panel, and 540,000 transcript expression microarray.
13 al cells of 309 SAM children using the 450 K microarray.
14  immunohistochemical analysis of PDAC tissue microarray.
15  by IgE of PA compared to PS patients on the microarray.
16 s in gene expression using a gene expression microarray.
17 d control individuals were analyzed by miRNA microarray.
18 ily obtained from whole-genome sequencing or microarrays.
19 chain reaction, functional analysis, and RNA microarrays.
20 RNA was isolated and assayed on whole genome microarrays.
21 ell lines and human pancreatic cancer tissue microarrays.
22 ted KS tissue samples and KS visceral tissue microarrays.
23 erase chain reaction (real-time RT-PCR), and microarrays.
24  levels of PRL and PRLR in multitumor tissue microarrays.
25 n challenging using glass slide-based glycan microarrays.
26 pectives on the design of functional smectic microarrays.
27  Score (RS), Prosigna Prediction Analysis of Microarray 50 (PAM50) Risk of Recurrence (ROR), EndoPred
28                       We used yeast proteome microarrays (~5800 purified proteins) to conduct a high-
29  glycans bound by CHIKV, we conducted glycan microarray analyses and discovered that CHIKV preferenti
30                                 We performed microarray analyses of peripheral blood mononuclear cell
31 p/19q testing was performed with chromosomal microarray analysis (CMA).
32 gingival transcriptome was determined with a microarray analysis and focused on the expression level
33                                      We used microarray analysis and immunohistochemistry (IHC) to ex
34  gene expression profiles were determined by microarray analysis and quantitative RT-PCR, and express
35                                              Microarray analysis and single-cell RNA sequencing revea
36 f the myelination process, here we adopted a microarray analysis approach combined with laser-capture
37                                       Tissue microarray analysis identified a correlation between abs
38                                              Microarray analysis identified dynamic changes in the tr
39                   In Fto-deficient arteries, microarray analysis identified upregulation of L-Pgds wi
40                                              Microarray analysis of GEN-exposed uteri during early pr
41                          Via next-generation microarray analysis of leukocyte RNA we found that long
42 tive, non-neutralizing mAb was determined by microarray analysis of peptides generated from the VP1 c
43                                      On-chip microarray analysis of serum biomarkers (e.g., cardiac t
44                                              Microarray analysis of SFRP1 in periampullary adenocarci
45  (RNA-induced Silencing Complex) followed by microarray analysis of the RISC-bound miRNA targets (RIP
46                                              Microarray analysis of ventricular tissue revealed that
47                                            A microarray analysis performed on FRDA patient's lymphobl
48                                              Microarray analysis revealed age-related changes in mult
49                                       Tissue microarray analysis revealed co-expression correlations
50                                              Microarray analysis revealed downregulation of matrisome
51              A gene expression assessment by microarray analysis revealed FA affected FSK cells by al
52                                              Microarray analysis revealed upregulated mesenchymal gen
53                                              Microarray analysis showed that romidepsin altered early
54 ng underlying BBB maturation, we performed a microarray analysis that identified Fgfbp1 as a novel Wn
55                                              Microarray analysis was conducted to identify iAs-dysreg
56                                              Microarray analysis was then used to profile the differe
57                               Instead, using microarray analysis we have elucidated that ERalpha-medi
58 regulated genes detected via custom-designed microarray analysis were validated using qPCR.
59 center cohort study, we integrated allograft microarray analysis with extensive clinical and histolog
60 pression pattern was profiled by genome-wide microarray analysis, and direct gene targets were identi
61  T cells, comparing them to Tc1 clones using microarray analysis.
62  performed knockdown of EPB41L4A followed by microarray analysis.
63 ding the identified SHs were monitored using microarray analysis.
64 volved in cell migration/motility based on a microarray analysis.
65 mphopenia underwent testing with chromosomal microarray analysis.
66 ge as determined by immunohistochemistry and microarray analysis.
67 filing of algae single cells with a 120-well microarray and identified more than 50 lipids in C. rein
68 rioamniotic membranes were studied using RNA microarray and immunohistochemistry.
69 Cytokine profiles were evaluated by proteome microarray and Kaplan-Meier survival analysis was used t
70                                  Large-scale microarray and mass spectrometric analyses revealed sign
71                           Use of chromosomal microarray and massively parallel sequencing technologie
72 ive biomarker genes in different tumors, and microarray and metabolomics data from Arabidopsis thalia
73 en widely used for DNA immobilization in DNA microarray and numerous bioassays for decades, whereas t
74 nd 96.6% (95% CI, 95.5 to 97.5%) between the microarray and PneumoCaT.
75                    By using Tn-Seq, RNA-Seq, microarray and proteomics datasets from two human pathog
76                                      Protein microarray and pulldown experiments revealed that this i
77                                              Microarray and qPCR analysis of gastrocnemius muscle RNA
78 ive and osmotic stresses were assessed using microarray and reverse transcriptase quantitative PCR.
79 nd healthy control groups were identified by microarray and reverse transcription-quantitative PCR (q
80                                              Microarray and RNA sequence of S1pr2(-/-) mouse epidermi
81 lyzing 8 transcriptional profiling datasets (microarray and RNA sequencing) spanning 43 generations o
82                             When analyzed by microarray and RNA sequencing, the resistant NSCLC cell
83 re available for sample size calculation for microarray and RNA-seq in the context of differential ex
84 tic comparison with various state-of-the-art microarray and RNA-seq networks was also performed, howe
85           Over recent years, large amount of microarray and RNA-Sequencing datasets have been collect
86 ants, and gene expression was measured using microarray and RT quantitative PCR.
87                               Integration of microarray and sequencing data enabled the description o
88                                              Microarray and SPR assays of structurally defined HS oli
89  antibodies, as defined by binding to glycan microarrays and by affinity purification.
90 in situ hybridization of two prostate tissue microarrays and by laser-capture microdissection of pros
91                                  Genome-wide microarrays and cytokine profiling were used to interrog
92   Assessment of Y chromosome in NSCLC tissue microarrays and expression of linc-SPRY3-2/3/4 in NSCLC
93 ed the analysis of gene expression profiling microarrays and gene methylation profiling microarrays,
94 plexes on solid substrates is widely used in microarrays and lateral flow tests.
95 n the tetrodotoxin model, we used 16-channel microarrays and microwires to record electrophysiologica
96                   With cross-subtype peptide microarrays and multiplex binding assays, we probed the
97 tforms: CombiMatrix and NimbleGen expression microarrays and RNA sequencing.
98 shed and emerging research disciplines, from microarrays and smart surfaces to tissue engineering.
99                                Using peptide microarrays and tandem MS-based analysis methods, we sho
100 o 96.3%) between latex agglutination and the microarray, and 96.6% (95% CI, 95.5 to 97.5%) between th
101 e studied using immunohistochemistry, tissue microarray, and digital image analysis in 141 BC patient
102 equencing (WES), RNA sequencing, methylation microarray, and immunohistochemistry (IHC) on 8 pairs of
103 ccordant (PCC >0.95) with those derived from microarray, and they were substantially less variable if
104 for cell-surface engineering, development of microarrays, and drug delivery systems.
105  analyses, immunohistochemistry-based tissue microarrays, and various cell biology assays, we demonst
106                                       Glycan microarrays are capable of illuminating the interactions
107            In this work, a user-friendly DNA microarray assay was developed for the authentication of
108 cRNAs, miRNA, and mRNA were identified using microarray-based analysis and verified in tumor r cell l
109  commonly associated with the development of microarray-based assays are nonspecific binding and diff
110 2017 and August 2019 was conducted using DNA microarray-based assays.
111                                              Microarray-based examination of peptides revealed charge
112                                      We used microarray-based profiling to discover deregulated miRNA
113                                 We combine a microarray-based spatial transcriptomics method that rev
114                           Three studies used microarray-based technologies to examine DNA methylation
115 mined the transcripts by Affymetrix GeneChip microarray before gastrulation.
116 ormance on gene expression data generated by microarray, bulk RNA-Seq and scRNA-Seq.
117                      A low-cost microfluidic microarray capable of lysing cells and quantifying prote
118 base, and analysis of human RCC tumor tissue microarrays, cDNA arrays and tumor biopsy samples demons
119  Liquid chromatography-mass spectrometry and microarray characterization of 5ASKH strains revealed su
120 n molecules was measured by using the MedALL microarray chip (n = 1021).
121                                              Microarray classifier analysis has shown promise in the
122            Our findings suggest that using a microarray classifier analysis, not only can we create d
123                            We analyzed a miR microarray comparing with normal and PNF SCs and identif
124 ntally verified GRNs and corresponding large microarray compendium data.
125                                  In a tissue microarray comprised of 363 primary human breast tumors,
126               We generated an allergome-wide microarray comprising 731 allergens in the form of more
127                               Human fibrosis microarrays conducted using LX-2 cell RNA derived from M
128 e analyzed longitudinally using a Pf protein microarray covering 91% of the proteome, providing first
129  control groups, using the linear models for microarray data (linear modeling) and Boruta (decision t
130 co-expression analysis of publicly available microarray data (n = 303 profiles) measured in livers of
131             To facilitate analysis of glycan microarray data alongside protein structure, we have bui
132                                  RNA-seq and microarray data analyses of the putative GLCAT genes rev
133        However, it is difficult to interpret microarray data and identify structural determinants pro
134 ords, and subtypes were determined by tissue microarray data and pathology reports.
135  Cutaneous lupus erythematosus lesional skin microarray data and RNA sequencing data from SLE keratin
136                                    Available microarray data enabled direct comparison of polygenic r
137 base query, and allows users to upload their microarray data for analysis.
138 mans, we screened whole exome sequencing and microarray data from a clinical cohort.
139  along with high-resolution postmortem brain microarray data from Allen Brain Atlas (donors n = 6) fr
140                                     Although microarray data from diseased patient kidneys and fibrot
141                                      We used microarray data from UK Biobank to investigate the preva
142                                              Microarray data gained with these DCs showed a significa
143 ost gene expression signatures obtained from microarray data of B. pseudomallei-infected cases to dev
144 mRNA transcriptome data from newly generated microarray data on IHs with publicly available data on t
145 ion of linc-SPRY3-2/3/4 in NSCLC RNA-seq and microarray data revealed a negative correlation between
146  GA stress using existing RNA sequencing and microarray data sets generated using human islets from d
147          By analyzing two publicly available microarray data sets, we found that NPFF is consistently
148 naling molecular targets by meta-analysis of microarray data sets.
149 ome analysis coupled with publicly available microarray data suggested a mechanism of impaired PLGA d
150      The unique feature of GlyMDB is to link microarray data to PDB structures.
151                          We preprocessed the microarray data using the Robust Multichip Average (RMA)
152                                   RNAseq and microarray data were obtained for 1032 gliomas from the
153 sed search is performed using BLAST to match microarray data with all available PDB structures contai
154                      In a subpopulation with microarray data, IgE to the major timothy grass allergen
155 PARZ trial, 375 (83%) patients had available microarray data, pretreatment BMI measurements, and over
156  comparative analysis between proteomics and microarray data, significantly higher degrees of correla
157     Using data mining techniques on existing microarray data, we found that mRNA expression of the CS
158 using Biobank of Karolinska Endarterectomies microarray data.
159  expression over time, using bulk RNA-seq or microarray data.
160 essfully validated the original EBV proteome microarray data.
161 ions were mainly made in trials and based on microarray data.
162  protein structure, we have built the Glycan Microarray Database (GlyMDB), a web-based resource inclu
163    The classifier utilizes a large composite microarray dataset (15 individual datasets), an individu
164 sifier was validated using a gene expression microarray dataset.
165 genesis of endometriosis, we recruited 3 raw microarray datasets (GSE11691, GSE7305, and GSE12768) fr
166  PGSs were recapitulated in four independent microarray datasets from Gene Expression Omnibus and wer
167                            Using accumulated microarray datasets from the grapevine whole-genome arra
168 ature and identified a number of RNA-Seq and microarray datasets in order to develop, train, test, an
169                  We demonstrate on the three microarray datasets that our method is capable of identi
170                                        miRNA microarray demonstrated that the expression of miR-216a
171 2 protein expression as determined by tissue microarray derived from NKTL patients.
172 braries by compartmentalizing and assembling microarray-derived oligonucleotides in vortexed emulsion
173                                          The microarray detected anti-GM1a antibodies with high sensi
174                                          DNA microarrays (DNA chips) with species-specific oligonucle
175                                      Polymer microarrays enable the high-throughput comparison of mat
176 ndexing (CODEX) for paraffin-embedded tissue microarrays, enabling simultaneous profiling of 140 tiss
177                    This method was tested on microarray expression data from the M3D database, corres
178 can-binding proteins due to the ambiguity in microarray fluorescence intensity and complexity in bran
179 ctively processed using a commercial protein microarray fluorescent test.
180 ome sequencing (WGS) with PneumoCaT, and DNA microarray for samples from community carriage surveilla
181 ogy to a ToF-SIMS image of a printed polymer microarray for the first time.
182                   Next, the potential of CPS microarrays for detecting recognition by anti-CPS IgGs w
183 d by immunohistochemistry analyses of tissue microarrays for loss of MLH1, MSH2, MSH6, and/or PMS2.
184                     So far, though, only DNA microarrays for the authentication of land vertebrate sp
185  of 12 allergen extracts or pure proteins in microarray format, as a proof of concept.
186                                              Microarray found that compared with their levels of expr
187                            Lung tumor tissue microarrays from 104 patient samples were constructed.
188 d large-scale immunohistochemistry in tissue microarrays from 1552 patients reveal that ZAP is preval
189 ely analyzed expression of ANGPTL2 in tissue microarrays from I-BLCA and surprisingly found an opposi
190  days 0, 4, 14, 42, and 84 and processed for microarray gene expression analysis.
191 veral publicly available protein expression, microarray gene expression and single-cell transcriptome
192                          RNA was analysed by microarray gene profiling using the Illumina HumanHT-12
193 here are >2 million publicly-available human microarray gene-expression profiles, these profiles were
194 uently, the PCR results were integrated with microarray genotypes (Illumina Human Omni 1S-8), obtaine
195 ion interferometry and image processing of a microarray glass biochip, affordable to be single-used i
196 d fidelity, using side-by-side comparison of microarray grids, triangles incorporating angles 15-90 d
197        We downloaded data of gene expression microarrays (GSE20347, GSE38129) and gene methylation mi
198 ys (GSE20347, GSE38129) and gene methylation microarrays (GSE52826) from the Gene Expression Omnibus
199                                      Protein microarrays have been successfully used for detection of
200 were tested for IgE and IgG reactivity to 15 microarrayed HDM allergen molecules with ImmunoCAP Immun
201 nd robustness by a systematic benchmark with microarray, high-coverage whole-exome and -genome approa
202 nd European populations, we used genome-wide microarray, HLA high-resolution typing and AQP4 gene seq
203                                      Protein microarray identified 366 non-HLA antibodies (>1.5 fold,
204          Analyses of AKT-related genes using microarray, immunoblotting, and real-time quantitative P
205 tions with karyotype testing and chromosomal microarray in an unselected cohort of sequential pregnan
206               We measured gene expression by microarrays in 235 liver transplant biopsies from 10 cen
207      Spectra have been obtained from protein microarrays in a high throughput process.
208 using RNAseq in EvA (n = 283) and Affymetrix microarrays in U-BIOPRED (n = 85).
209 at low relative abundances (median, 8%), the microarray increased VT detection by 31.5% over that by
210 ology in two cohorts using custom genotyping microarrays, large imputation reference panels, and func
211 ides, and cell activation determined using a microarray laser scanner.
212                                      Peptide microarrays may help to identify immunogenic epitopes, d
213  of gene regulatory networks (GRNs) from DNA microarray measurements forms a core element of systems
214         Polysome analyses were combined with microarray measurements to identify gene transcripts who
215                    This method that combines microarrays, MEF, and MALDI-MS presents an effective pla
216 ling was performed with 3D-Gene global miRNA microarray mouse chips encompassing all mouse miRNAs ava
217 ed, however, none outperformed the aggregate microarray network despite having good predictive perfor
218                   We performed a comparative microarray of the embryonic distal hindgut of wild-type
219                                              Microarray of thyroid RNA displayed incomplete overlap b
220                                              Microarrays of carotid arteries from Pcsk6(-/-) versus c
221                                       Tissue microarrays of human lung cancers indicated the expressi
222 serum, the newly developed S. pneumoniae CPS microarrays offer the advantage of enabling the simultan
223     We report a multiplex label-free antigen microarray on the Arrayed Imaging Reflectometry (AIR) pl
224 ies of urothelial carcinomas (UCs) by tissue microarray, on which histologic variants and molecular s
225 quantitative measurement techniques, such as microarray or fluorescence polarization assays.
226 s on major depressive disorder that reported microarray or RNA sequencing measurements on whole blood
227 rthermore, the platform used to measure MIF (microarray or RNAseq) was found to influence the splice
228 allele dosage information, such as that from microarray or sequencing experiments.
229 xpression 47 (BASE47) predictive analysis of microarrays (PAM) classifier.
230                      The Vaxxas high-density microarray patch (HD-MAP) consists of a high density of
231                                              Microarray patches (MAPs) offer the possibility of impro
232                                        A miR microarray performed in primary human conjunctival epith
233                                    The first microarrays performed with betalains and biological conf
234                               This universal microarray platform provides an unprecedented opportunit
235                                          The microarray platform provides enzyme kinetics of hundreds
236                   The Affymetrix HGU133plus2 microarray platform was employed to identify gene expres
237 ples with data perturbation due to different microarray platforms.
238 ycoside dye quantification and comprehensive microarray polymer profiling of sequentially extracted c
239 ific IgGs in serum, using a collection of 22 microarray-printed S. pneumoniae CPSs.
240 nt sensor-encoding lentiviral vectors with a microarray printer enables parallel recording of multipl
241 sis by MS, as well as functional analysis by microarray printing and screening using a prototypical H
242 y IL-17 in keratinocytes were evaluated with microarray profiling and reverse transcriptase-PCR.
243 microdissection coupled with custom-designed microarray profiling to determine the genetic signature
244                                      By gene microarray profiling with bioinformatics analysis, we fo
245 spanning from immunohistochemistry (IHC), to microarrays (protein, DNA), to high-throughput screens r
246 lciparum malaria were analyzed using protein microarrays (Protoplex Immune Response Assay, ThermoFish
247 uation on multiple datasets-first-generation MicroArray Quality Control (MAQC) brain and Universal Hu
248 n an independent validation dataset from the Microarray Quality Control (MAQC)-II study.
249  cell lines were analyzed by gene-expression microarray, quantitative polymerase chain reaction, immu
250 vaccination, we designed protein and peptide microarrays representing hundreds of unique AMA1 variant
251                                              Microarray results also indicate that sulfate groups on
252                                              Microarrays revealed that the transmembrane glycoprotein
253 er coronavirus infection-related genes using microarray, RNA sequencing, and 10x single-cell transcri
254 multiple imputation tasks (within and across microarray/RNA-seq datasets) establishes that SampleLASS
255 ce including a searchable database of glycan microarray samples and a toolset for data/structure anal
256 complete transcriptome in partially-measured microarray samples by imputing the expression of unmeasu
257 ycan-binding motif discovery for 5203 glycan microarray samples collected from the Consortium for Fun
258 uorescence intensity data from two different microarray samples.
259 d by Immunohistochemistry (IHC) using tissue microarray sections containing both normal and cancerous
260  The Cancer Genome Atlas database and tissue microarrays showed strong correlation between the major
261      Analysis of human gastric cancer tissue microarrays, showed high levels of DARPP-32 and positive
262 g microarrays and gene methylation profiling microarrays, simultaneously, and in this way, it can she
263 nut allergens (Ara h 1-11) were spotted onto microarray slides, and patients' samples were tested for
264  large family-based cohorts, of high-density microarray studies of submicroscopic chromosomal structu
265 d datasets of transcript analyses made using microarray studies of WF-exposed tissues and of cancers,
266 a gene list from peer-reviewed comprehensive microarray studies that discovered and validated their u
267  profiles in human ROSMAP datasets and mouse microarray studies.
268 e from young, old and OA knees was used in a microarray study to identify alterations in snoRNA expre
269 aset (15 individual datasets), an individual microarray study, and an RNA-Seq dataset, using gene rat
270 e perfluoroalkyl chains are removed from the microarray surface along with nonspecifically adsorbed p
271 sence of the method consists in blocking the microarray surface with a blocking agent containing a pe
272 or Lyme disease are measured using a protein microarray system, Lyme Immunochip, in a single step but
273 emiautomatically process data from different microarray technologies, we were able to determine the m
274 s work, we examined the applicability of the microarray technology to detect CPS type-specific IgGs i
275 ghput genomic technologies is the genotyping microarray technology, which can genotype millions of si
276 severity using a ferret model and our lectin microarray technology.
277 eriodic textures that can be used as optical microarrays, templates for soft lithography, and orderin
278 ched DNA was hybridized to a custom promoter microarray (termed ChIP-chip).
279  a subset of the samples assayed on Illumina microarrays that achieved a ROC-AUC of 0.847 on independ
280                                        Using microarrays that contained > 1,000 glycans, including an
281 s and immunohistochemical analyses of tissue microarrays that contained BE tissues from 100 patients
282 ma specimens analyzed by IHC on tumor tissue microarray (TMA) cores and by gene expression profiling
283                                       Tissue microarray (TMA) samples from 415 tissues collected from
284                                       Tissue Microarrays (TMA) were constructed from these samples.
285 es, patient-derived xenografts (PDX), tissue microarrays (TMA), and The Cancer Genome Atlas (TCGA) da
286  prostatectomy specimens (embedded in tissue microarrays [TMAs]) from 483 patients treated in 3 Canad
287 g ganglio-oligosaccharides were printed as a microarray to examine binding specificities of lectins,
288 S oligosaccharides, were printed as a glycan microarray to examine the binding selectivities of sever
289 data from UALCAN and human pancreatic tissue microarrays to compare levels of PRKD1 between tumor and
290                 Using bulk RNA sequencing or microarray transcriptomics from tissue samples (4 SB and
291                            Methods: A tissue microarray was built from 36 HCC samples and from matchi
292                                    A peptide microarray was designed to screen for immunoglobulin G t
293 est, a glycan and an allergen (glyco)protein microarray, we mapped IgE fine specificity among Ugandan
294                  For molecular serotyping by microarray, we used the BUGS Bioscience Senti-SP microar
295 r, WGS, which adds population structure, and microarray, which adds multiple-serotype carriage, shoul
296 ), polymerase chain reaction (PCR), and gene microarrays, which are labor-intensive and time-consumin
297 ed classification of Pfn1 staining in tissue microarrays, which indicated Pfn1 positivity in both tum
298                                         This microarray will be a powerful tool for the development o
299 ing the high-throughput potential of protein microarrays with the biologically relevant readout provi
300 nufacturing high-density multiplexed protein microarrays with the capacity to detect low levels of an

 
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