Omics-based approaches to guide the of biomaterials

被引:12
|
作者
Kersey, Anna L. [1 ,2 ]
Nguyen, Thuy-Uyen [1 ,2 ]
Nayak, Biswadeep [1 ]
Singh, Irtisha [1 ,2 ,3 ]
Gaharwar, Akhilesh K. [1 ,3 ]
机构
[1] Texas A&M Univ, Coll Engn, Dept Biomed Engn, College Stn, TX 77843 USA
[2] Texas A&M Univ, Sch Med, Dept Cell Biol & Genet, Bryan, TX 77807 USA
[3] Texas A&M Univ, Program Genet & Genom, College Stn, TX 77843 USA
基金
美国国家卫生研究院;
关键词
Engineered biomaterials; Regenerative medicine; Drug Delivery; Computational biology; Bioinformatics; MESENCHYMAL STEM-CELLS; TITANIUM-DIOXIDE NANOPARTICLES; SIZE-DEPENDENT CYTOTOXICITY; IN-VITRO; EXTRACELLULAR-MATRIX; RNA-SEQ; SILICA NANOPARTICLES; MASS-SPECTROMETRY; OSTEOGENIC DIFFERENTIATION; NEURONAL DIFFERENTIATION;
D O I
10.1016/j.mattod.2023.01.018
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Recent developments in biomedical engineering have focused on designing smart and bio-responsive materials. However, a critical step in designing this next generation of biomaterials is to evaluate their holistic cellular and molecular interactions. Recent technological advances in biology, specifically in omics techniques, can provide high-throughput functional readouts of the cell genome, epigenome, transcriptome, proteome and metabolome. The ability of omics-based approaches to predict the biological response to engineered biomaterials have the potential to revolutionize biomedical research and replace the traditional "trial and error" approach as the first step in designing the next-generation of biomaterials. In addition, these omics-based approaches can be used to gain insight into in vivo re-sponses of biomaterials, which currently relies heavily on semi-quantitative imaging-based method-ologies rather than rigorous computational approaches. In this review, we have outlined various omics techniques that have been utilized to quantify and understand the biological performance of engineered biomaterials. Additionally, we have critically discussed the role of omics-based approaches in designing new biomaterials for regenerative medicine, immune engineering, and drug delivery. Finally, the potential of integrated multi-omics approaches to build a holistic understanding of the biological responses to newly developed biomaterials have been discussed.
引用
收藏
页码:98 / 120
页数:23
相关论文
共 50 条
  • [31] Current omics-based approaches as tools for improving the understanding, diagnosis and management of inflammatory lung disease
    Tejera, Paula
    Laucho-Contreras, Maria E.
    Cordoba-Lanus, Elizabeth
    FRONTIERS IN MEDICINE, 2023, 10
  • [32] Omics-based discoveries guiding personalized medicine
    Panada, Elisa
    CELL REPORTS MEDICINE, 2024, 5 (09)
  • [33] Omics-Based Identification of Biomarkers for Nasopharyngeal Carcinoma
    Janvilisri, Tavan
    DISEASE MARKERS, 2015, 2015
  • [34] Omics-based nanomedicine: The future of personalized oncology
    Rosenblum, Daniel
    Peer, Dan
    CANCER LETTERS, 2014, 352 (01) : 126 - 136
  • [35] Omics-based deep learning approaches for lung cancer decision-making and therapeutics development
    Tran, Thi-Oanh
    Vo, Thanh Hoa
    Le, Nguyen Quoc Khanh
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2024, 23 (03) : 181 - 192
  • [37] A comprehensive overview of omics-based approaches to enhance biotic and abiotic stress tolerance in sweet potato
    Ahmed, Sulaiman
    Khan, Muhammad Saad Shoaib
    Xue, Songlei
    Islam, Faisal
    Ikram, Aziz Ul
    Abdullah, Muhammad
    Liu, Shan
    Tappiban, Piengtawan
    Chen, Jian
    HORTICULTURE RESEARCH, 2024, 11 (03)
  • [38] Criteria for the use of omics-based predictors in clinical trials
    McShane, Lisa M.
    Cavenagh, Margaret M.
    Lively, Tracy G.
    Eberhard, David A.
    Bigbee, William L.
    Williams, P. Mickey
    Mesirov, Jill P.
    Polley, Mei-Yin C.
    Kim, Kelly Y.
    Tricoli, James V.
    Taylor, Jeremy M. G.
    Shuman, Deborah J.
    Simon, Richard M.
    Doroshow, James H.
    Conley, Barbara A.
    NATURE, 2013, 502 (7471) : 317 - 320
  • [39] Omics-based Drug Discovery against Tumor Angiogenesis
    Shimada, Yasuhito
    Kuroyanagi, Junya
    Nishimura, Yuhei
    Tanaka, Toshio
    JOURNAL OF PHARMACOLOGICAL SCIENCES, 2012, 118 : 18P - 18P
  • [40] Omics-based biomarkers discovery for Alzheimer's disease
    Aerqin, Qiaolifan
    Wang, Zuo-Teng
    Wu, Kai-Min
    He, Xiao-Yu
    Dong, Qiang
    Yu, Jin-Tai
    CELLULAR AND MOLECULAR LIFE SCIENCES, 2022, 79 (12)