Browsing by Author "Tsai, Pang-Yan"

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Low interface trap density Al2O3/In0.53Ga0.47As MOS capacitor fabricated on MOCVD-grown InGaAs epitaxial layer on Si substrate
(2014-04-01)
Lin, Yueh-Chin
;
Huang, Mao-Lin
;
Chen, Chen-Yu
;
Chen, Meng-Ku
;
Lin, Hung-Ta
A low interface trap density (D-it) Al2O3/In0.53Ga0.47As/Si MOS capacitor fabricated on an In0.53Ga0.47As heterostructure layer directly grown on a 300 mm on-axis Si(100) substrate by MOCVD with a very thin buffer layer is demonstrated. Compared with the MOS capacitors fabricated on the In0.53Ga0.47As layer grown on the lattice-matched InP substrate, the Al2O3/In0.53Ga0.47As MOS capacitors fabricated on the Si substrate exhibit excellent capacitance-voltage characteristics with a small frequency dispersion of approximately 2.5%/decade and a low interlace trap density D-it close to 5.5 x 10(11)cm(-2) eV(-1). The results indicate the potential of integrating high-mobility InGaAs-based materials on a 300 mm Si wafer for post-CMOS device application in the future. (C) 2014 The Japan Society of Applied Physics
Proteogenomics of Non-smoking Lung Cancer in East Asia Delineates Molecular Signatures of Pathogenesis and Progression
(2020-07-09)
Chen, Yi-Ju
;
Roumeliotis, Theodoros, I
;
Chang, Ya-Hsuan
;
Chen, Ching-Tai
;
Han, Chia-Li
Lung cancer in East Asia is characterized by a high percentage of never-smokers, early onset and predominant EGFR mutations. To illuminate the molecular phenotype of this demographically distinct disease, we performed a deep comprehensive proteogenomic study on a prospectively collected cohort in Taiwan, representing early stage, predominantly female, non-smoking lung adenocarcinoma. Integrated genomic, proteomic, and phosphoproteomic analysis delineated the demographically distinct molecular attributes and hallmarks of tumor progression. Mutational signature analysis revealed age- and gender-related mutagenesis mechanisms, characterized by high prevalence of APOBEC mutational signature in younger females and over-representation of environmental carcinogen-like mutational signatures in older females. A proteomics-informed classification distinguished the clinical characteristics of early stage patients with EGFR mutations. Furthermore, integrated protein network analysis revealed the cellular remodeling underpinning clinical trajectories and nominated candidate biomarkers for patient stratification and therapeutic intervention. This multi-omic molecular architecture may help develop strategies for management of early stage never-smoker lung adenocarcinoma.