37 research outputs found
Direct voltammetric detection of DNA and pH sensing on epitaxial graphene: An insight into the role of oxygenated defects
10.1021/ac101519vAnalytical Chemistry82177387-7393ANCH
Bistable electrical switching and rewritable memory effect in a thin film acrylate copolymer containing carbazole-oxadiazole donor-acceptor pendant groups
Materials Research Society Symposium Proceedings11141-10MRSP
Molecular conformation-dependent memory effects in non-conjugated polymers with pendant carbazole moieties
Materials Research Society Symposium Proceedings1071109-114MRSP
Drosophila expressing mutant human KCNT1 transgenes make an effective tool for targeted drug screening in a whole animal model of KCNT1-epilepsy
Mutations in the KCNT1 potassium channel cause severe forms of epilepsy which are poorly controlled with current treatments. In vitro studies have shown that KCNT1-epilepsy mutations are gain of function, significantly increasing K+ current amplitudes. To investigate if Drosophila can be used to model human KCNT1 epilepsy, we generated Drosophila melanogaster lines carrying human KCNT1 with the patient mutation G288S, R398Q or R928C. Expression of each mutant channel in GABAergic neurons gave a seizure phenotype which responded either positively or negatively to 5 frontline epilepsy drugs most commonly administered to patients with KCNT1-epilepsy, often with little or no improvement of seizures. Cannabidiol showed the greatest reduction of the seizure phenotype while some drugs increased the seizure phenotype. Our study shows that Drosophila has the potential to model human KCNT1- epilepsy and can be used as a tool to assess new treatments for KCNT1- epilepsy
Robust HfN Metal Gate Electrode for Advanced MOS Devices Application
Digest of Technical Papers - Symposium on VLSI Technology151-152DTPT
Impact of device length on electrogram sensing in miniaturized insertable cardiac monitors
Background: Little data exists on electrogram sensing in current generation of miniaturized insertable cardiac monitors (ICMs). Objective: To compare the sensing capability of ICM with different vector length: Medtronic Reveal LINQ (~40 mm) vs. Biotronik Biomonitor III (BM-III, ~70 mm). Methods: De-identified remote monitoring transmissions from n = 40 patients with BM-III were compared with n = 80 gender and body mass index (BMI)-matched patients with Reveal LINQ. Digital measurement of P- and R- wave amplitude from calibrated ICM electrograms was undertaken by 3 investigators independently. Further, we evaluated the impact of BMI and gender on P-wave visibility. Results: Patients in both groups were well matched for gender and BMI (53% male, mean BMI 26.7 kg/m2, both p = NS). Median P- and R-wave amplitude were 97% & 56% larger in the BM-III vs. LINQ [0.065 (IQR 0.039–0.10) vs. 0.033 (IQR 0.022–0.050) mV, p < .0001; & 0.78 (IQR 0.52–1.10) vs. 0.50 (IQR 0.41–0.89) mV, p = .012 respectively). The P/R-wave ratio was 36% greater with the BM-III (p < .001). The 25th percentile of P- wave amplitude for all 120 patients was .026 mV. Logistic regression analysis showed BM-III was more likely than LINQ to have P-wave amplitude ≥.026 mV (OR 7.47, 95%CI 1.965–29.42, p = .003), and increasing BMI was negatively associated with P-wave amplitude ≥.026 mV (OR 0.84, 95%CI 0.75–0.95, p = .004). However, gender was not significantly associated with P-wave amplitude ≥.026 mV (p = .37). Conclusion: The longer ICM sensing vector of BM-III yielded larger overall P- and R- wave amplitude than LINQ. Both longer sensing vector and lower BMI were independently associated with greater P-wave visibility.Bradley M. Pitman, Kadhim Kadhim, Rachel Tarone, Esther Jones, Dominik Linz, Matthew Lim, Kyle M. Heath, Nicholas Scanlan, Kurt C. Roberts-Thomson, Glenn D. Young, Christopher X. Wong, Prashanthan Sanders, Justin A. Mariani, Dennis H. La
Wide Vfband Vth tunability for metal-gated MOS devices with HfLaO gate dielectrics
10.1109/LED.2007.891757IEEE Electron Device Letters284258-260EDLE
Elucidating the genomic architecture of Asian EGFR-mutant lung adenocarcinoma through multi-region exome sequencing
10.1038/s41467-017-02584-zNature Communications9121