The promise of graphene-based transistors for democratizing multiomics studies

被引:29
|
作者
Lu, Hsiang-Wei [1 ,2 ]
Kane, Alexander A. [2 ]
Parkinson, Jonathan [2 ]
Gao, Yingning [2 ]
Hajian, Reza [1 ,2 ]
Heltzen, Michael [2 ]
Goldsmith, Brett [2 ]
Aran, Kiana [1 ,2 ]
机构
[1] Claremont Coll, Keck Grad Inst, San Diego, CA 92121 USA
[2] Cardea Bio, San Diego, CA 92121 USA
来源
BIOSENSORS & BIOELECTRONICS | 2022年 / 195卷
基金
美国国家科学基金会;
关键词
Graphene field effect transistor; Multiomics; Digital biosensing; Machine learning; FIELD-EFFECT TRANSISTOR; SAMPLE PREPARATION TECHNIQUES; GENOME-WIDE ASSOCIATION; LABEL-FREE; SURFACE MODIFICATION; SCALABLE PRODUCTION; METABOLOMICS ANALYSIS; MASS-SPECTROMETRY; DNA; BIOSENSOR;
D O I
10.1016/j.bios.2021.113605
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
As biological research has synthesized genomics, proteomics, metabolomics, and transcriptomics into systems biology, a new multiomics approach to biological research has emerged. Today, multiomics studies are challenging and expensive. An experimental platform that could unify the multiple omics approaches to measurement could increase access to multiomics data by enabling more individual labs to successfully attempt multiomics studies. Field effect biosensing based on graphene transistors have gained significant attention as a potential unifying technology for such multiomics studies. This review article highlights the outstanding performance characteristics that makes graphene field effect transistor an attractive sensing platform for a wide variety of analytes important to system biology. In addition to many studies demonstrating the biosensing capabilities of graphene field effect transistors, they are uniquely suited to address the challenges of multiomics studies by providing an integrative multiplex platform for large scale manufacturing using the well-established processes of semiconductor industry. Furthermore, the resulting digital data is readily analyzable by machine learning to derive actionable biological insight to address the challenge of data compatibility for multiomics studies. A critical stage of systems biology will be democratizing multiomics study, and the graphene field effect transistor is uniquely positioned to serve as an accessible multiomics platform.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Graphene-based electrodes for enhanced organic thin film transistors based on pentacene
    Basu, Sarbani
    Lee, Mu Chen
    Wang, Yeong-Her
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2014, 16 (31) : 16701 - 16710
  • [22] Graphene-based nanomaterials for versatile imaging studies
    Yoo, Je Min
    Kang, Jin Hyoun
    Hong, Byung Hee
    CHEMICAL SOCIETY REVIEWS, 2015, 44 (14) : 4835 - 4852
  • [23] A novel CVD graphene-based synaptic transistors with ionic liquid gate
    Feng, Xin
    Qiao, Lei
    Huang, Jingjing
    Ning, Jing
    Wang, Dong
    Zhang, Jincheng
    Hao, Yue
    NANOTECHNOLOGY, 2023, 34 (21)
  • [24] All Graphene-Based Thin Film Transistors on Flexible Plastic Substrates
    Lee, Seoung-Ki
    Jang, Ho Young
    Jang, Sukjae
    Choi, Euiyoung
    Hong, Byung Hee
    Lee, Jaichan
    Park, Sungho
    Ahn, Jong-Hyun
    NANO LETTERS, 2012, 12 (07) : 3472 - 3476
  • [25] A first principles theoretical examination of graphene-based field effect transistors
    Champlain, James G.
    JOURNAL OF APPLIED PHYSICS, 2011, 109 (08)
  • [26] Graphene-based materials and their applications in electrolyte-gated transistors for sensing
    Vasilijevic, Sandra
    Boukraa, Rassen
    Battaglini, Nicolas
    Piro, Benoit
    SYNTHETIC METALS, 2023, 295
  • [27] Toward chemical logic with electrolyte-gated graphene-based transistors
    Boukraa, Rassen
    Piro, Benoit
    Battaglini, Nicolas
    ELECTROCHIMICA ACTA, 2025, 513
  • [28] Identifying the Phytotoxicity and Defense Mechanisms Associated with Graphene-Based Nanomaterials by Integrating Multiomics and Regular Analysis
    Li, Xiaokang
    Sun, Shan
    Guo, Shuqing
    Hu, Xiangang
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 55 (14) : 9938 - 9948
  • [29] Studies on Graphene Suspension and Self-assembled Graphene-based Membranes
    Yang Li
    Li Kongzhai
    Wang Hua
    Wei Yonggang
    Zhu Xing
    CHEMICAL JOURNAL OF CHINESE UNIVERSITIES-CHINESE, 2015, 36 (06): : 1166 - 1173
  • [30] Graphene-based field-effect transistors for biosensing: where is the field heading to?
    Sabine Szunerits
    Teresa Rodrigues
    Rupali Bagale
    Henri Happy
    Rabah Boukherroub
    Wolfgang Knoll
    Analytical and Bioanalytical Chemistry, 2024, 416 : 2137 - 2150