ライフサイエンスコーパス: negative control

1 l dose of DENV2 and mice immunized with OVA (negative control).

2 oil (2-OG + MCFAs), and tricaprylin (MCFAs; negative control).

3 non-CP)-harboring isolates were also tested (negative control).

4 lar risk factors and subsequent renal colic (negative control).

5 ts initiating AG versus brand-name products (negative control).

6 ith a second cohort of patients without CNV (negative controls).

7 oculation and no antifungal supplementation (negative controls).

8 efold prolongation of survival compared with negative controls).

9 antigen (cases) and children whose stool was negative (controls).

10 were negative for rejection and served as a negative control.

11 N versus HLL (without cytotopic tail) versus negative control.

12 skeletal muscle using Kcne3(-/-) tissue as a negative control.

13 in, together with GSK4028 as an enantiomeric negative control.

14 ems: three dynamic and one steady-state as a negative control.

15 t-chain fatty acids produced compared to the negative control.

16 munoaffinity-purified sample, but not in the negative control.

17 teria after a 24h fermentation compared to a negative control.

18 mice with Kv1.3 gene-targeted deletion as a negative control.

19 atient's tophus and steroid crystals used as negative control.

20 cy by using PEG to perform a hitherto absent negative control.

21 /cm(2) (n = 6), and six flanks served as the negative control.

22 Saline solution was used as a negative control.

23 racting reference protein, which served as a negative control.

24 ABAergic synapses, using (+)-bilobalide as a negative control.

25 similar but inactive compound 4 (MS31N) as a negative control.

26 ion chambers for test, positive control, and negative control.

27 take in these regions compared to young, tau-negative controls.

28 chanochemically inactive are also studied as negative controls.

29 s had similar transcriptomic profiles to C4d-negative controls.

30 te prospective cohort study of WLHIV and HIV-negative controls.

31 ns, as well as, HPV-positive and healthy HPV-negative controls.

32 adults with lifelong HIV and 20 matched HIV-negative controls.

33 in 26 libraries from three blood donors and negative controls.

34 pdm09 and 305 B(Victoria) cases and 926 test-negative controls.

35 on when challenged with allergen compared to negative controls.

36 o of vaccination in cases compared with test-negative controls.

37 WT and C57BL/6 IL-17RA KO animals serving as negative controls.

38 IRT identifying the true target genes versus negative controls.

39 in and streptavidin components and served as negative controls.

40 ed HIV-infected patients were matched to HIV-negative controls.

41 comparing rotavirus case patients with test-negative controls.

42 ected patients compared with appropriate HIV-negative controls.

43 ccine receipt in influenza cases versus test-negative controls.

44 tages of SIV infection and compared with SIV-negative controls.

45 omen naive to antiretroviral therapy and HIV-negative controls.

46 ontrols, and 52% (95% CI, 26%-69%) with test-negative controls.

47 , 2, and 5-8) and viral loads, including two negative controls.

48 mplitudes and axon counts when compared with negative controls.

49 dds among influenza-positive cases with test-negative controls.

50 atients, 657 hospital controls, and 334 test-negative controls.

51 hemistry using well-established positive and negative controls.

52 f vaccination in influenza cases versus test-negative controls.

53 pulmonary function comparable to the healthy negative controls.

54 m patients without malignancies were used as negative controls.

55 gher in HIV-positive cases compared with HIV-negative controls.

56 viduals with PCR-confirmed SARS-CoV-2 and 54 negative controls.

57 ratio)] for vaccination in cases versus test-negative controls.

58 ra mussel in 94% of spiked samples and 0% of negative controls.

59 an follow-up, 3.8 years) matched 1:10 to HIV-negative controls.

60 ve for Plasmodium or Babesia species and 151 negative controls.

61 nts by approximately 3 times compared to the negative controls.

62 cancer cells compared with the corresponding negative controls.

63 ed with clopidogrel (n = 3,462) were used as negative controls.

64 rus, and 45.8% (95% CI: 5.7, 68.9) using pan-negative controls.

65 ants: 281 mutation carriers and 181 mutation-negative controls.

66 us, and 71.1% (95% CI: 46.2, 84.8) using pan-negative controls.

67 apenemase-negative isolates were included as negative controls.

68 eater antibacterial activity compared to RSV-negative controls.

69 ion for the hypothesized function but not in negative controls.

70 and alpha-d-gluco (92%) counterparts used as negative controls.

71 g(10) ratio of vaccine peptide-stimulated vs negative control 0.17 [95% CI 0.061 to 0.27]; p=0.009) b

72 iate spikes in impedance measurements from a negative control (1% milk solution) for all CR3022 sampl

73 .02) was greater than the benchmark (3x) and negative control (1.75x) gels.

74 vary VZV DNA was detected in 0 of 20 healthy negative controls, 11 of 16 positive controls with zoste

75 za-positive case patients and 2821 influenza-negative controls (140 case patients and 971 controls fr

76 /males; mean age = 71 +/- 10) and 29 amyloid-negative controls (15/14 females/males; mean age = 69 +/

77 sed for treatment: 1) received no treatment (negative control); 2) defects treated with nano-HA bone

78 as 41.1% (95% CI: 1.7, 64.7) using influenza-negative controls, 24.5% (95% CI: -42.6, 60.1) using con

79 ackground signal than the benchmark (2x) and negative control (3x) gels.

80 s 68.7% (95% CI: 44.6, 82.5) using influenza-negative controls, 63.1% (95% CI: 25.0, 82.2) using cont

81 ts were examined (n = 8 per group): Group-1 (negative control) 8 weeks of median nerve CD followed by

82 .9 months; IQR 6.6-11.1), 317 rotavirus-test-negative controls (9.4 months; 6.9-11.9), and 380 commun

83 t of 6 mm or more (wheal diameter, above the negative control), a food-specific serum IgE concentrati

84 Negative control AAA animals (N = 15) underwent daily sa

85 y-confirmed influenza cases and matched test-negative controls admitted to hospitals were enrolled.

86 ncing studies, we propose the Adaptive False-Negative Control (AFNC) procedure that can include a lar

87 on 204 rotavirus case patients and 601 test-negative controls aged 5-23 months, the VE of 2 RV1 dose

88 iving suppressive cART and 79 comparable HIV-negative controls, aged >/=45 years, from the Comorbidit

89 e activity in percentage of mean activity of negative controls allows comparison of the different tec

90 ing quantity and ease of quitting, and (3) a negative control analysis comparing maternal and mother'

91 ug/mL) in sugar syrup, pure sugar syrup as a negative control and 48 ng/mL imidacloprid as a positive

92 operties: 1) conditional independence of the negative control and the outcome (given modeled variable

93 Nonfirearm injuries served as a negative control and were not associated with California

94 le to VBP-auto and significantly superior to negative controls and absent immunosuppression.

95 signals were observed in 3/32 (9.4%) of the negative controls and also in few samples containing Myc

96 which are estimated from positive controls, negative controls and housekeeping genes embedded in the

97 Our method utilizes artificial genotypes as negative controls and is equally valid for quantitative

98 nt decreases were observed for the prior two negative controls and no discrete events were observed f

99 metry on nuclear proteins extracted from Cre-negative controls and PTH1R-VKO VSM.

100 We utilise negative controls and replicates to remove unwanted vari

101 ion in these 9 runs showed that positive and negative controls and test MRSA sequence files contained

102 es from HIV-positive individuals relative to negative controls and to plasma.

103 Healthy mice served as negative controls and tolerated treatment well, without

104 0%-70% gamma-chain expression (vs. < 10% for negative control) and a corresponding increase in HbF.

105 igher specificity than pre-let-7d (used as a negative control) and elucidated a new functional role f

106 respectively, and parental, mock-transduced (negative controls) and tumors expressing Ang-1 or Ang-2

107 SPT) result (>=5 mm wheal diameter above the negative control), and peanut-specific immunoglobulin (I

108 the use of a PENTA-containing served as the negative control, and a Methacryloyloxidecyl dihydrogenp

109 h giant CMN with no nodules were included as negative controls, and 6 patients with melanomas arising

110 pare treatment groups with both baseline and negative controls, and analyze the microbiota changes do

111 differential site occupancy in positive and negative controls, and comparisons of estimated site occ

112 oesophageal adenocarcinoma [n=19]), relevant negative controls, and replicates on the Illumina MiSeq

113 usly on day 105-110 of pregnancy, while four negative-control animals underwent mock challenge.

114 tudy effects of these three antibodies and a negative control antibody (HJ3.4) on Tau aggregate uptak

115 active tuberculosis and TST-positive or TST-negative controls, as well as between active untreated a

116 We used cross-pathogen negative control associations to correct bias due to con

117 monoinfected recipients and HIV-negative/HCV-negative controls at both times.

118 termined by testing spiked blood samples and negative-control blood in a blind manner.

119 perienced a survival benefit relative to the negative control but not compared with the positive cont

120 C/C binding sites in yeast Cdh1 to relay the negative control by Cdk1 phosphorylation of the ubiquiti

121 n humoral responses is due to the absence of negative control by immune regulation.

122 TGFbeta signalling derives from positive and negative control by Ldb2a.

123 imary antibodies were tested in positive and negative controls by immunohistochemistry and uniplex IF

124 Transmutation tool allows for the design of negative controls by permitting scrambling, reversing, c

125 eory and simulations show that including the negative control can reduce residual confounding, if our

126 es but who test negative for rotavirus (test-negative controls) can be considered a suitable alternat

127 rule based on flow cytometry results of the negative control CD154-enriched CD4 cells, we could reli

128 ng respective MVs, which were confirmed with negative controls, CD41 and CD235a; 2) anti-CD144 (EC ma

129 CD30-AshR-negative control chimera and prostate specific membrane

130 econdary WW (positive control), fresh water (negative control), chlorinated WW, and HPC WW.

131 d intracranial hypertension (n = 5), and the negative control cohort consisted of otherwise healthy p

132 The negative control comparisons also indicated potentially

133 is was mirrored by 39 (DO34) but also by the negative control compound 40 (DO53) (which does not inhi

134 , or DFO on inhibiting STAT3 activation, the negative control compound di-2-pyridylketone 2-methyl-3-

135 dine SGC-STK17B-1N (19g) was identified as a negative control compound.

136 Negative controls consisted of 50 isolates that produced

137 nested RNAi experimental conditions and one negative control, contrasting expression with EGF stimul

138 These methods include negative controls, cross-contextual designs, instrumenta

139 thms either find large numbers of fusions in negative control data or suffer from low sensitivity det

140 Using a case-test-negative control design, we estimated the vaccine effect

141 ool that generates putative nonbinding (i.e. negative control) DNA sequences for one or more proteins

142 confirming the quality of assay reagents and negative control droplets to help with background subtra

143 lytical approaches such as the use of family negative controls (e.g. comparing the effects of materna

144 and minimal residual systematic bias through negative control experiments, lending credibility to our

145 tification was substantiated by positive and negative control experiments.

146 In this article, we illustrate use of the negative control exposure (NCE) approach to evaluate unc

147 ect estimators from models that included the negative control exposure (ozone concentrations 1 day af

148 extensions to the interesting and important negative control exposure approach for partial confoundi

149 One requires a negative control exposure with 2 key properties: 1) cond

150 ure time series, while the second combines a negative control exposure with a negative control outcom

151 e that estimators from models that include a negative control exposure with these 2 properties tend t

152 e both past and future exposures as multiple negative control exposures to further attenuate confound

153 ive in biochemical and cellular assays, as a negative control for chemical biology studies.

154 ient midribs of ppcesa3/8 knockouts provided negative controls for the structural characterization of

155 tested positive (cases) and those who tested negative (controls) for influenza virus.

156 ool specimen that tested positive (cases) or negative (controls) for rotavirus by enzyme immunoassay.

157 positive control) and Alzheimer's disease (a negative control) for comparison.

158 men, 7 women; age, 39.3 +/- 9.9 y), 15 gene-negative controls from HD families (9 men, 6 women; age,

159 function, or psychiatric scores between gene-negative controls from HD families and community control

160 itive control group drug), and esomeprazole (negative control group drug).

161 le of persons with HIV under HAART to an HIV-negative control group showed a complex set of clinical

162 e findings suggest that there may be no true negative control group when attempting to account for an

163 us VE studies that used traditional and test-negative control groups and compared VE estimates obtain

164 stimates using both the traditional and test-negative control groups closely approximated the true VE

165 luations that used both traditional and test-negative control groups were similar regardless of contr

166 25)Ac-RPS-074 and compared with positive and negative control groups.

167 igonucleotides" against miR-494 (GSO-494) or negative control (GSO-control).

168 ith bare earth margin or sprayed with water (negative controls) had the highest pest densities.

169 ntly lower risk of AF compared with genotype-negative controls (hazard ratio=0.07; 95% CI, 0.01-0.53,

170 Compared with HCV-negative controls, HCV-seropositive participants had an

171 - and socioeconomic status (SES)-matched HIV-negative controls (HIV-).

172 ed with HIV-negative/hepatitis C virus (HCV)-negative controls, HIV monoinfected recipients had simil

173 Compared with HIV-negative controls, HIV-infected recipients had significa

174 nd was significantly lower than PS among HIV-negative controls (HR, 1.34; 95% CI, 1.08 to 1.68; P<0.0

175 Negative controls (i) without glucose, (ii) with an irre

176 cytotoxicity activity similar to that of the negative control IgG2 in a CD20(+) human Raji lymphoma c

177 ng 5 inoculation groups of 10 pigs each: (i) negative control, (ii) Mycoplasma flocculare (strain 273

178 tribution parameters using (i) internal chip negative controls, (ii) out-of-band Infinium I probe int

179 ue = 1.00), while comparing Copaxone and the negative control, implying a lack of similarity.

180 and, therefore, has often been included as a negative control in dietary studies, whereas the effect

181 tants should be employed as more appropriate negative controls in future investigations of KLK7, espe

182 rotavirus-positive cases and 2685 rotavirus-negative controls in the analysis; 99% had verified vacc

183 kin test (TST)-positive controls, and 39 TST-negative controls in The Gambia.

184 l DNA in incubated blood samples but also in negative controls, indicating that the amplified sequenc

185 ly normal human immunodeficiency virus (HIV)-negative control individuals, 20 HIV-negative patients w

186 similar for HIV-positive individuals and HIV-negative control individuals.

187 While no M. canettii was detected in negative controls, M. canettii-infected mice yielded gra

188 m, 0.49 +/- 0.042), which was similar to the negative control MDA-MB-231 xenografts (percent ID per g

189 fects were observed after DMM surgery in Cre-negative control mice, including articular cartilage deg

190 (Agc1CreER) KO mice compared to that in Cre-negative control mice.

191 In contrast, all immunized negative-control mice developed PcP.

192 and endocervical cells transfected with miR-negative control, miR-143 or miR-145 were used in cell p

193 proliferation much more effectively than its negative control MS432N (24), and its effect was phenoco

194 Participants consisted of gene-negative controls (n = 16) and prodromal Huntington's di

195 ll non-TB patients (n = 37), and QuantiFERON-negative controls (n = 34).

196 rformed in three groups of Lewis (LEW) rats: negative controls (n = 4), local MSCs (epineural) inject

197 ted rejection with endarteritis; n=101), and negative controls (no diagnostic rejection; n=103).

198 Negative controls (no prebiotic) of both systems showed

199 Thus, ATF3 converges with CSL in negative control of CAF activation with epigenetic chang

200 sights into the coordination of positive and negative control of gene expression upon salt stress.

201 to 2-AG secretion, which contributes to the negative control of MCs activation.

202 rstanding of cell type-specific positive and negative control of pDC function should pave the way for

203 l regulator, which was termed AgtR, is under negative control of PfMqsA.

204 The negative control of PRC expression by GSK-3 was consiste

205 iments demonstrated that the operon is under negative control of the global carbon catabolite regulat

206 transcriptional upregulation of Mefv through negative control of the mechanistic target of rapamycin

207 Proteomic data highlighted the potential for negative control of the production of phosphatidylinosit

208 expression of SUT1 and SUT2 in turn is under negative control of the transcription factor Ste12.

209 RORADIALIS gene family (termed StCEN) in the negative control of tuberisation is demonstrated for wha

210 ART-naive, or on cART for >6 months, and HIV-negative controls of similar age and sex.

211 The use of rotavirus test-negative controls offers an efficient and cost-effective

212 fter TLR4 triggering and exerts an important negative control on LPS-dependent TNF production in MCs

213 ut had a similar crude incidence rate of the negative control outcome (4.5 vs 3.2 per 1000 patient-da

214 n contrast, CHG bathing had no effect on the negative control outcome (adjusted HR, 1.1; P = .781).

215 combines a negative control exposure with a negative control outcome for joint indirect adjustment o

216 ng an exposure-based indicator rather than a negative control outcome to partially correct for confou

217 The negative control outcome was gut-origin bacteremia.

218 Childhood cognition was used as a negative control outcome.

219 2) but had a similar crude incidence rate of negative-control outcome (4.5 vs. 3.2 per 1,000 patient-

220 n contrast, CHG bathing had no effect on the negative-control outcome (adjusted HR=1.1, P=0.781).

221 The negative-control outcome was gut-origin bacteremia.

222 RSV was used as a negative-control outcome.

223 We also collected caregiver-reported data on negative control outcomes (cough/cold and scrapes/bruise

224 nificant difference in the prevalence of the negative control outcomes between study groups that woul

225 Negative control outcomes of myocardial infarction (MI)

226 imilar increase in risk was seen for the two negative control outcomes related to sun exposure (HR =

227 e accounted for unmeasured confounding using negative control outcomes to estimate and adjust for res

228 , and colorectal cancer were investigated as negative control outcomes to exclude bias.

229 tivity as a BtrS antagonist and exerts tight negative control over T3SS genes.

230 tive oxygen species production compared with negative control (P <= 0.05) and single blockade of miR-

231 d greater ferritin formation compared to the negative control (p<0.05).

232 brain abscess samples, and no archaea in 71 negative controls (P < 10-6).

233 compared with 1 W/cm(2) pulses (P = .02) and negative controls (P = .002).

234 icromol/L (95% CI, 1.8 to 35.4) in untreated negative controls (P<0.001).

235 eritis, 79% in positive controls, and 91% in negative controls (P=0.01).

236 odified 6%T, 3.3%C (benchmark) and 6%T, 8%C (negative control) PA gels.

237 participant data (IPD) meta-analysis, and a negative-control (paternal BMI) to examine the associati

238 Using cut points derived from the negative control patients, OCT parameters yielded 89% se

239 Children with cranial pathology, but not negative control patients, underwent direct intraoperati

240 lable, well-defined archive of positive- and negative-control patients.

241 ssessed using I-1 liposomes as compared with negative control peptide liposomes (NCP).

242 based on machine learning using positive and negative control populations.

243 PP2, but not the negative control, PP3, blocked BDNF's suppressive effect

244 age, sex, cell-type proportion, DNAm-derived negative control principal components (PCs), and genotyp

245 d correction based on the observed values of negative control probes, a within-sample normalization u

246 additives (SOcontrol) served as positive and negative controls, respectively.

247 ution (0.89% NaCl) were used as positive and negative controls, respectively.

248 oduction following Ag exposure compared with negative control responses (no Ag exposure) revealed tha

249 receptor-expressed HCT-116 cells used as the negative control, resulting in the restoration of the fl

250 educed CFU/mL reduction in comparison to the negative control (Rho < 0.001), but it was not as effect

251 -cleaving activity, whereas more than 70% of negative control ribozymes, which are predicted to fold

252 Pristine microimplants were reserved for negative control (S-nC/R-nC, n = 9), while the remaining

253 ve dose (TCID50)/ml, as well as the no-virus negative-control sample.

254 (n = 24), or suspected (n = 11) CJD and 104 negative control samples (54 CSF and 50 OM).

255 Negative control samples collected from areas outside th

256 patients and 19 control subjects, along with negative control samples.

257 s comparable to those measured in blanks and negative control samples.

258 tissue, and finally followed by mammoplasty negative control samples.

259 ermined based on 8 (6 HPV-positive and 2 HPV-negative) control samples.

260 l proteins, 10,000 point mutants, and 30,000 negative control sequences.

261 (GAK), together with a structurally related negative control SGC-GAK-1N (14).

262 As negative control, sham mice received patches containing

263 pecimens (108 well-characterized CPO and 142 negative controls spiked onto negative rectal swabs) wer

264 design and utility of different positive and negative control strategies.

265 pproaches (e.g., mendelian randomization and negative control studies) should be obtained.

266 (791 DPN-positive case subjects and 158 DPN-negative control subjects) from the Bypass Angioplasty R

267 st) were equivalent in identifying sera from negative-control subjects (99% and 100% specificity, res

268 morphogenesis and was indistinguishable from negative controls, suggesting that it is a null mutation

269 able-length guides per gene and thousands of negative controls targeting non-functional, non-genic re

270 (+) NK cells are more abundant in EC and HIV-negative controls than in VNC and that the frequency of

271 ing affinity and report structurally related negative controls that can be used to study the effect o

272 a total of 93 clinical samples, including 21 negative controls, the results of which allow assembly o

273 benzene, phenol, xylene and 4-nitrophenol as negative controls, thereby demonstrating the specificity

274 As a negative control, THP-1 monocytes did not associate with

275 This study provides positive and negative controls, titrated standards, and a guide for s

276 eal 2 mm or larger than that elicited by the negative control to any of 10 inhalant or food allergens

277 cFos immunohistochemistry was measured as a negative control to confirm that the muscle contractions

278 to estimate ammonia kinetic parameters, (2) negative controls to account for biomass reactivity, (3)

279 ses were 2.8-fold more likely than norovirus-negative controls to be secretors (P < .001) in a logist

280 In addition, we used burn patients as negative controls to explore the potential effect of res

281 eding was used as a falsification end point (negative control) to evaluate for potential confounding.

282 the PD-L1-positive tumor, whereas the PD-L1-negative control tumor showed little tracer retention.

283 recipient mice then either received saline (negative control), unsorted MHC-mismatched PBMC (positiv

284 mong rotavirus positive (cases) vs rotavirus negative (controls) using multivariable logistic regress

285 ection of all positive clinical samples from negative control was achieved.

286 ng for green fluorescence protein (GFP, as a negative control) was observed.

287 ous extract from the border plant species, a negative control (water) and a positive control (emamect

288 As a negative control, we evaluated the combination of lansop

289 Using negative controls, we show UMI counts follow multinomial

290 Copaxone and in-house synthesized SPT, and a negative control were digested by Lys-C and followed by

291 Cases and test-negative controls were children who presented with a dia

292 and 5 hexon antigens along with positive and negative controls were printed in an array format onto t

293 Only 17.1% of test-negative-controls were vaccinated.

294 viral antigen divided by the mean OD of the negative control when reacted with viral antigen, were h

295 udy exemplifies the crucial need of relevant negative controls when developing, and using, bioinforma

296 1 rotavirus-positive cases and 298 rotavirus-negative controls who had under-5 card-confirmed vaccina

297 misspecification, and 2) associations of the negative control with uncontrolled confounders and the o

298 graphs taken a few minutes apart, which were negative controls with no progression.

299 cially available sweet drinks (including two negative controls) with high levels of complexity (sugar

300 d significantly worse outcomes than the DSA+-negative controls without AMR.