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1 over a 0.20-0.50 hct range) for the hemaPEN devices, which we could not attribute to the analytical procedure.
3 Also, using the inhibitor erlotinib, we could not confirm a role for the epidermal growth factor r
5 cohort of patients undergoing repeated radioiodine therapy, we could not demonstrate alterations in salivary parameters.
6 In live-cell time-lapse microscopy experiments, we could not detect any significant phagocytosis by purified
8 s, etoposide robustly induced TOP2B covalent complexes, but we could not detect doxorubicin-induced TOP2-DNA complexes, a
9 Overall, in healthy adult C57BL/6 mice we could not detect male/female differences in glymphatic inf
10 pite our large sample size and multiple datasets available, we could not detect robust associations between specific gene
11 ing a knock-in reporter mouse line expressing tagged SUMO1, we could not detect SUMO1-conjugation of seven previously pro
12 ER- associated LCV formation was unique to CLas, as we could not detect these bodies in B. trigonica infected wit
17 t we did not have individual-level data on sun exposure, so we could not directly control for this in the primary analysi
18 leaved products are required for the PDI phenotype although we could not distinguish loss of function from loss of secret
19 the duration of systemic corticosteroid exposure, although we could not entirely exclude harm on some secondary outcome
22 s to A(H7N2) virus, indicating possible infection; however, we could not exclude cross-reactive antibody responses to sea
25 lagen (Col-I) promoter (COL-EGFP) had green stroma, whereas we could not find COL-EGFP(+) cells in tumors developing in t
27 of this study was that, owing to its observational nature, we could not fully exclude the effects of residual confoundin
28 If a STEPS dataset was not available for a LMIC (or we could not gain access to it), we conducted a systematic se
29 Because of the absence of treatment effect, we could not identify a gene signature predictive of clinical
30 It also exposes a diversity of network effects: we could not identify a single sub-network that is perturbed
33 The main study limitations were that we could not investigate certain characteristics associated w
35 udy is constrained by gaps in the published data, such that we could not model the impact of antiviral therapy based on s
37 ants at 1.8-2.0- angstrom resolution revealed features that we could not predict by molecular dynamics simulations, inclu
38 -induced Akt signaling dynamics and cell cycle progression, we could not predict the fate of individual cells.
40 icroparticles, pH sensors, and 3D microfluidic devices that we could not produce using traditional 3D printing.
44 male mosquitoes following oviposition, with the caveat that we could not rule out batch effects due to the unanticipated
45 ere largely due to unmeasured confounding factors, although we could not rule out small independent associations, particu
47 Some estimates were imprecise, which meant we could not rule out the presence of smaller clinically impo
48 There was no evidence of publication bias; however, we could not separate the contributions of obesity-related ca
49 selection, or are under mechanisms of sexual selection that we could not test (e.g. balancing selection).
50 c constraints and the slow developmental rate of icefishes, we could not test for long-term hybrid viability, fertility,