Literature DB >> 27452627

Protein microarray applications: Autoantibody detection and posttranslational modification.

Apurva Atak1, Shuvolina Mukherjee1, Rekha Jain1, Shabarni Gupta1, Vedita Anand Singh1, Nikita Gahoi1, Manubhai K P1, Sanjeeva Srivastava2.   

Abstract

The discovery of DNA microarrays was a major milestone in genomics; however, it could not adequately predict the structure or dynamics of underlying protein entities, which are the ultimate effector molecules in a cell. Protein microarrays allow simultaneous study of thousands of proteins/peptides, and various advancements in array technologies have made this platform suitable for several diagnostic and functional studies. Antibody arrays enable researchers to quantify the abundance of target proteins in biological fluids and assess PTMs by using the antibodies. Protein microarrays have been used to assess protein-protein interactions, protein-ligand interactions, and autoantibody profiling in various disease conditions. Here, we summarize different microarray platforms with focus on its biological and clinical applications in autoantibody profiling and PTM studies. We also enumerate the potential of tissue microarrays to validate findings from protein arrays as well as other approaches, highlighting their significance in proteomics.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Autoantibody profiling; PTM studies; Protein arrays; Tissue microarrays

Mesh:

Substances:

Year:  2016        PMID: 27452627     DOI: 10.1002/pmic.201600104

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  5 in total

1.  Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.

Authors:  Vera Ignjatovic; Philipp E Geyer; Krishnan K Palaniappan; Jessica E Chaaban; Gilbert S Omenn; Mark S Baker; Eric W Deutsch; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2019-10-11       Impact factor: 4.466

2.  Identification of Serum Biomarkers for Systemic Lupus Erythematosus Using a Library of Phage Displayed Random Peptides and Deep Sequencing.

Authors:  Fan-Lin Wu; Dan-Yun Lai; Hui-Hua Ding; Yuan-Jia Tang; Zhao-Wei Xu; Ming-Liang Ma; Shu-Juan Guo; Jing-Fang Wang; Nan Shen; Xiao-Dong Zhao; Huan Qi; Hua Li; Sheng-Ce Tao
Journal:  Mol Cell Proteomics       Date:  2019-07-15       Impact factor: 5.911

3.  PhIP-Seq characterization of serum antibodies using oligonucleotide-encoded peptidomes.

Authors:  Divya Mohan; Daniel L Wansley; Brandon M Sie; Uri Laserson; H Benjamin Larman; Muhammad S Noon; Alan N Baer
Journal:  Nat Protoc       Date:  2018-09       Impact factor: 13.491

Review 4.  Recent Advances on the Molecular Mechanism of Cervical Carcinogenesis Based on Systems Biology Technologies.

Authors:  Min Lin; Miaomiao Ye; Junhan Zhou; Z Peter Wang; Xueqiong Zhu
Journal:  Comput Struct Biotechnol J       Date:  2019-02-07       Impact factor: 7.271

Review 5.  Computational Oncology in the Multi-Omics Era: State of the Art.

Authors:  Guillermo de Anda-Jáuregui; Enrique Hernández-Lemus
Journal:  Front Oncol       Date:  2020-04-07       Impact factor: 6.244

  5 in total

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