1 or Radiotoxicity data (ACTR) approach, which
we validated.
2 ated with changes in odorant perception, and
we validated 10 cases in which in vitro OR function corr
3 Of those,
we validated 13 inversions predicted by different genome
4 gle-cell sequencing and targeted sequencing,
we validated 80-90% of the mosaic single-nucleotide vari
5 We validate a distinctive dependency on YAP1 and WWTR1 o
6 Here,
we validate a high-throughput screening (HTS) assay to d
7 s(1)-[Glu(9)]glucagon in INS-1 832/13 cells,
we validated a dual agonist action of glucagon at the Gl
8 In this study,
we validated a novel nanoparticle based in vitro diagnos
9 We validated a number of these novel desmosome-associate
10 h S. aureus-mediated osteomyelitis, and then
we validated a proof of concept for the lateral flow ass
11 Finally,
we validated a role for SP3 and MAZ in the formation of
12 We validated a sensitive, robust, and high-throughput LC
13 Through in vitro methylation assays,
we validated a set of PRMT5 targets identified by mass s
14 We validated a subset of the observed associations in an
15 We validated a subset using surface plasmon resonance an
16 We validated a UHPLC-MS/MS method to quantify MGO, GO, a
17 In addition,
we validated A*02:01-restricted epitopes by DimerX stain
18 ra (MO) were identified by a screener, which
we validated against a headache neurologist.
19 We validated AGE-related codes in pediatric and adult po
20 and single-molecule in situ hybridizations,
we validated AKI signatures in multiple experiments.
21 We validate an association between maize and Dyella japo
22 We validate and demonstrate equivalent CPL measurement b
23 We validate and evaluate the approach using extensive si
24 We validated and characterized the top four most abundan
25 s for understanding degenerative mechanisms,
we validated and established two independent colonies of
26 We validated annoFuse using a random cohort of TCGA RNA-
27 We validated BAcTrace at three neuronal connections in t
28 Finally,
we validate,
based on limited available data, that the i
29 We validated both tools using two independent cohorts (t
30 onses in human TREM2 knockout microglia that
we validate by flow cytometry and immunohistochemistry.
31 in finding new cell-specific patterns, which
we validated by in situ and single-cell qPCR.
32 s colocalized with EGFP(Vgat) neurons, which
we validated by in situ hybridization for Vgat mRNA.
33 rption of additional targeted species, which
we validated by testing a MOFtor for removal of rhodamin
34 g LSCs to leukemic blasts and healthy HSPCs,
we validate candidate LSC markers and highlight novel an
35 assays, and chromatin conformation capture,
we validated candidate enhancer variants located up to 7
36 We validated CaRe by purifying recombinant human galecti
37 We validate causation through reciprocal allele swaps, d
38 We validate CDC25A-NIP30-REGgamma mediated regulation of
39 In addition,
we validate cell markers for all these clusters by in si
40 We validate ChromA on multiple technologies and biologic
41 We validated classifiers on independent datasets using w
42 Finally,
we validated Claudin 7 and CD81 determination in EVs fro
43 We validated clinic workflow timings calculated from EHR
44 We validated compounds that stabilized or destabilized M
45 We validated decima as a gene that alters lifespan and d
46 We validated differential expression by using qRT-PCR an
47 We validated differential protein levels, including conf
48 We validated differentially expressed genes in selected
49 y from other human-associated fecal sources,
we validated distance-based and Bayesian (SourceTracker)
50 Here,
we validate EIT imaging in rat sciatic nerve by comparis
51 Furthermore,
we validate entropy-based predictions in 7 species under
52 We validate EPISCORE in multiple epigenome studies and t
53 ogical dynamics, generating predictions that
we validate experimentally and illustrating a causal lin
54 We validated four prototypes through an institutional re
55 We validated GCaMP as a highly sensitive calcium reporte
56 We validated gene expression changes using quantitative
57 ar speckle proteins, including proteins that
we validated here as enriched in nuclear speckles.
58 We validate hundreds of thousands of candidate variants
59 All three biomarkers
we validate in vitro using 6 different parasite lines an
60 We validate in vivo biocompatibility of the bioadhesive
61 dentified differences in miR expression, and
we validated in mouse PNFs versus normal mouse SCs by qR
62 Next
we validated in vitro two Frd7 blocking strategies: a mo
63 antiviral human mAbs, the activity of which
we validated in vivo.
64 We validate intrathecal delivery of EPHA2, HER2 and inte
65 We validate its effect using a quantitative complementat
66 We validated its effects in an in vitro model of MI/IRI
67 We validate key predictions with mouse genetics, showing
68 We validated key structural features of the SurA*uOMP en
69 We validated known and novel interactions between KEAP1
70 With CRISPR-Cas9 genome editing,
we validated Less Shattering1 (SvLes1) as a gene whose p
71 We validate LipidCreator assays computationally and anal
72 We validated measurements against other data sources and
73 hibitors based on their metabolic state, and
we validate metabolites that alter drug sensitivity.
74 We validate MITRE's performance on semi-synthetic data a
75 In conclusion,
we validate MtBzaC as a SAM:hydroxybenzimidazole-ribosid
76 We validated one uncharacterized protein, ARMC10, and de
77 We validate optimal simulated experiments determined usi
78 We validate our approach and show it produces a three-fo
79 We validate our approach by directly comparing source im
80 We validate our approach using Argonaute eCLIP-seq and r
81 Fitting statistical models,
we validate our data and find that human movement laws a
82 We validate our estimation method via Monte Carlo simula
83 We validate our experimental results against a theoretic
84 Furthermore,
we validate our experimental results by performing simul
85 We validate our findings with two external datasets reco
86 We validate our GBM cohort, finding similar copy number
87 We validate our key findings in adult and paediatric UC
88 We validate our method on single-cell RNA sequencing, ch
89 We validate our method on synthetic datasets and challen
90 We validate our method using synthetic geometries.
91 We validate our method using three state-of-the-art appr
92 We validate our method with single-cell RNA-seq and micr
93 We validate our methods by demonstrating the measurement
94 We validate our methods on new experiments designed to p
95 We validate our model on synthetic data and demonstrate
96 We validate our optimized AsCas12a toolkit by screening
97 We validate our system by performing individual, combina
98 We validate our technique in clonal cells with previousl
99 We validated our approach in data from nine patients wit
100 We validated our approach through comparison with a glob
101 In summary,
we validated our approach to identify compounds that alt
102 We validated our approach using a wide array of syntheti
103 We validated our approach with a synthetic mixture of 12
104 We validated our findings in a second independent cohort
105 We validated our findings in a separate cohort for patie
106 We validated our findings using data from 71 patients wi
107 We validated our findings using online photographs.
108 We validated our framework using a broad range of synthe
109 We validated our method against analytically solvable mo
110 We validated our method using contrived reference sample
111 We validated our methodology by carrying out conventiona
112 We validated our methods by reproducing the known affini
113 We validated our methods on a large 3-dimensional LGE-ca
114 We validated our model against previous estimates of YF
115 We validated our pillar-based device with longevity anal
116 We validated our predictions on an independent set of cl
117 We validated our results by targeted long-read sequencin
118 We validated our results using CMRL 1066 medium (used fo
119 We validated our TMT labeling strategy by comparative RP
120 Using patch-clamp technique,
we validated our transgenic strategy by demonstrating th
121 We validated our uncertainty estimates with an additiona
122 We validated pacemaker cell-specific elements in the SHO
123 We validate Padhoc with a set of well-established Escher
124 We validate pharmacological properties of the compound i
125 We validated PHGDH's serum exRNA and brain protein expre
126 We validate PhyDOSE using simulations and a retrospectiv
127 We validate predicted resistance mutations in CDK4, CDK6
128 We validate predictors out-of-sample using the eMERGE da
129 erular disease cohorts to study plasminogen,
we validated previous findings while suggesting a potent
130 We validate PSCAN's performance on synthetic data and tw
131 We validated regulatory DNA sequences by mobility shift
132 We validated Rerep-Seq by simulating DNA rereplication i
133 We validate results in Gardnerella and Lactobacillus co-
134 rus-like particle (VLP) SARS-CoV-2 standard,
we validate RNA extraction and RT-qPCR workflows as well
135 We validated screen hits by demonstrating that adoptive
136 anonical miRNAs are enriched in operons, and
we validate several of these experimentally.
137 We validate SHINE on 50 nasopharyngeal patient samples,
138 We validate SSiNGLe using two very distinct sequencing t
139 sign of synergistic drug combinations, which
we validate systematically by combinatorial CRISPR, drug
140 We validated TeXP by independently estimating the levels
141 Using an adeno-associated virus approach,
we validate that miR-19a/19b reduces MI-induced cardiac
142 We validate that these regulatory changes result in the
143 We validated that a cell-based assay that measures TNF-a
144 Using protein kinase assay,
we validated that a transcription factor TCP8-like (TCP8
145 We validated that A250, a highly purified fraction of fe
146 (AAV) approach, coupled with genome editing,
we validated that GCK-IV kinase knockout improves neuron
147 Similar to human data,
we validated that monkey muscle activity also exhibited
148 Using orthogonal methods
we validated that PIK3CA wild-type cells adopt MAPK-depe
149 Here,
we validated that the PBS and qPitt score can be used as
150 We validated that the percentage of apoptosis was signif
151 Using patient fibroblasts,
we validated that the R38Q variant destabilizes SSBP1 di
152 Using inductively-coupled plasma-MS,
we validated that this assay, termed here "manganese-ext
153 Last,
we validated that truncated STMN2 RNA was elevated in th
154 Moreover,
we validated that two of these proteins, annexin A5 and
155 In conclusion,
we validate the 2018 Banff Working Group PVN classificat
156 We validate the approach by identifying known RNA struct
157 We validate the assay by using COVID-19 clinical swab sa
158 We validate the association between low circulating SPIN
159 In conclusion,
we validate the BD, OP and MicroCT methods for tropical
160 We validate the clinical relevance of new putative tumor
161 We validate the concept experimentally by demonstrating
162 We validate the final model by mapping mutations leading
163 We validate the findings empirically using Twitter data.
164 We validate the FSP-FIM against well-known Fisher inform
165 We validate the generality of our theoretical findings i
166 We validate the host factors, WDR7, CCDC115 and TMEM199,
167 We validate the hypothesis of fractional exponents (1) b
168 We validate the identified genes by showing their diagno
169 We validate the in situ scWB with slab-gel western blot,
170 We validate the known role of HRI-mediated translational
171 We validate the method against manually-traced ground-tr
172 We validate the method by visualising reaction intermedi
173 perature gradient at defined time intervals,
we validate the method for analyzing steady-state enzyma
174 We validate the method on diverse known kinase-phosphosi
175 We validate the metric with engineered microbial consort
176 We validate the performance and accuracy of the assay us
177 We validate the performance of deep neural networks on d
178 We validate the performance of the proposed method on ei
179 We validate the platform with a brain dialysate fluid sa
180 sing the Inward Rectifier K+ channel Kir2.1,
we validate the practical utility of SPINE by constructi
181 Finally,
we validate the proposed method through extensive simula
182 pressed from lncRNAs and circRNAs, for which
we validate the protein products in vivo.
183 We validate the RISE method by selecting active genotype
184 We validate the theoretical findings by comparison to bo
185 We validate the theoretical results by fitting the deriv
186 Finally,
we validate the theory in a fully analog experiment in w
187 uence data available in the GISAID database,
we validate the utility of ISM-based subtyping by compar
188 We validated the ability of these optimised methods to p
189 We validated the accuracy of this method with synthetic
190 We validated the activity of novel Nrl-dependent ncRNA-d
191 Further,
we validated the application of yDcpS for enriching capp
192 We validated the assay under knockout and PLD-overexpres
193 We validated the assay using cell lines and cells from b
194 We validated the association between early drivers and m
195 HBV- or HCV-associated cirrhosis in France,
we validated the Baveno VI guidelines on screening and s
196 Last,
we validated the biological contribution of mortality-as
197 We validated the Cepheid Xpert Xpress SARS-CoV-2 and Hol
198 We validated the clinical profiles for all three CT sign
199 We validated the CodY-dependent regulation of rsaD and d
200 We validated the complete workflow with experiments on t
201 We validated the contractile force response of CaMiRi us
202 First,
we validated the crucial role of active STAT5 as a survi
203 We validated the deregulated candidates Tex26, Syngr4, a
204 We validated the E3.25 events through analysis of scRNA-
205 We validated the effects of heme loss on mitochondrial c
206 We validated the effects of identified agents in HeLa ce
207 We validated the enrichment of glutamate in SVs of prima
208 We validated the expression of 29 of the 35 genes using
209 We validated the expression pattern of several genes via
210 We validated the function of one of these candidate tran
211 We validated the function of TaVrt2 and TaVrn1 by wheat
212 We validated the function of the top associated miRNAs b
213 We validated the functional role of pieQTLs using report
214 We validated the in silico modeling in cultured adult mo
215 Finally,
we validated the inhibitory effect of CBFA2T3 on RAR in
216 We validated the interaction between hTR and the N (6)-m
217 We validated the interpretation of our results by determ
218 analysis of differentially expressed genes,
we validated the known genes and pathways in septic shoc
219 Using an integrative meta-analysis approach,
we validated the link between these receptors and angiog
220 entified putative novel CD8 T cell epitopes,
we validated the method by IFN-gamma ELISPOT assay and f
221 Recently,
we validated the method in a pig model for the long-live
222 We validated the miR-744 binding site in the 3' untransl
223 We validated the model in an independent cohort of HFpEF
224 We validated the model with data from a shoreline wetlan
225 We validated the model with granulomas from nonhuman pri
226 We validated the models in a geographically distinct sub
227 We validated the performance of iGECI up to a depth of a
228 We validated the performance of this assay for evaluatin
229 We validated the predictive performance of the metabolit
230 We validated the previously developed PREDICT scoring to
231 We validated the principle that encoding aerodynamic inf
232 beta-lactoglobulin cross-linked using BS(3),
we validated the process as structurally nonintrusive in
233 We validated the prognostic value of candidate microRNA
234 Finally,
we validated the proteomic and bioinformatics data by an
235 We validated the recombination parameters using data fro
236 We validated the results in a parallel in vivo study of
237 We validated the RNA-Seq data by quantitative PCR, and e
238 We validated the robustness of this approach with a smal
239 We validated the robustness, scalability and reproducibi
240 Finally,
we validated the role of a predicted network hub gene us
241 We validated the score externally in a population of adu
242 We validated the single-nucleus findings using RNA fluor
243 We validated the superior robustness and accuracy of RAD
244 We validated the system for its ability to accurately ap
245 We validated the test using 2 independent cohorts of pat
246 We validated the theory by spacecraft observations of th
247 We validated the TPW for silica columns and magnetic bea
248 We validated the unrestrained Mitf expression downstream
249 Using simulations,
we validated the use of NCRF to locate tandem repeats wi
250 Finally,
we validated the use of patient-derived organoids monola
251 Finally,
we validated the utility of the clamp method in the mdx
252 We validated the Virtual Chinrest in two laboratory stud
253 We validated the World Health Organization (WHO)-recomme
254 We validate these computational results using experiment
255 We validate these findings by analyzing 317 multi-region
256 We validate these findings in T cell acute lymphoblastic
257 We validate these findings using isolated mouse and huma
258 We validate these gene targets using several orthogonal
259 he assistance provided by the treadmill, and
we validate these predictions empirically.
260 We validate these predictions experimentally for many di
261 We validate these predictions for a selection of target
262 Finally,
we validate these results through functional dissection
263 We validated these 'enhanced' Magnets (eMags) by using t
264 We validated these findings by demonstrating the physiol
265 We validated these findings by using epigenomic data acr
266 We validated these findings in an external SMM cohort by
267 We validated these findings through deep sequencing of p
268 We validated these models in a population-based cohort o
269 We validated these simulations using a series of experim
270 We validated these simulations using RNA sequencing data
271 We validate this algorithm on simulated data, and demons
272 Herein,
we validate this hypothesis using in vitro and in vivo s
273 We validate this mechanism in cells and demonstrate that
274 We validate this method by comparing it to several estab
275 We validate this method by screening a synthetic naive h
276 We validate this method by using cytoarchitectonic areas
277 a are reduced in frequency in AD tissue, and
we validate this observation in an independent set of si
278 We validate this technology with the rapid generation of
279 anscripts that tend to have few introns, and
we validate this with reporter constructs.
280 We validated this approach by assessing the function of
281 We validated this approach by showing enrichment of secr
282 We validated this approach by testing three other indepe
283 Recently,
we validated this computational tool against in vitro si
284 We validated this finding by comparing iciHHV-6 in a fur
285 We validated this gene signature in the CLL8 cohort; pat
286 We validated this International Prognostic Scoring Syste
287 We validated this method by expressing the unmutated com
288 We validated this method with traditional manual gating
289 We validated this platform in a small cohort of 50 clini
290 We validated this platform using different subtypes of a
291 We validated this signature in an external cohort of tre
292 We validated this technique using data previously collec
293 We validated three of those reactions with drug tests an
294 mong the reported putative miR-193b targets,
we validated three: PDGFRbeta, SMAD4, and YAP1, belongin
295 activates early nitrogen response TFs, which
we validate to amplify the NLP7-initiated transcriptiona
296 re mutations in Arg-200 of Galpha(13), which
we validated to promote YAP/TAZ-dependent (TEAD) and MRT
297 We validated two parsimonious risk prediction models spe
298 elling of the SA-binding core of NPR4, which
we validated using hydrogen-deuterium-exchange mass spec
299 two TAL1-bound endothelial enhancers, which
we validated using transgenic mouse assays.
300 Using this quantitative approach, which
we validated with confocal microscopy, we significantly