Literature DB >> 32786681

Proteomics in Non-model Organisms: A New Analytical Frontier.

Michelle Heck1,2,3, Benjamin A Neely4.   

Abstract

For the last century we have relied on model organisms to help understand fundamental biological processes. Now, with advancements in genome sequencing, assembly, and annotation, non-model organisms may be studied with the same advanced bioanalytical toolkit as model organisms. Proteomics is one such technique, which classically relies on predicted protein sequences to catalog and measure complex proteomes across tissues and biofluids. Applying proteomics to non-model organisms can advance and accelerate biomimicry studies, biomedical advancements, veterinary medicine, agricultural research, behavioral ecology, and food safety. In this postmodel organism era, we can study almost any species, meaning that many non-model organisms are, in fact, important emerging model organisms. Herein we specifically focus on eukaryotic organisms and discuss the steps to generate sequence databases, analyze proteomic data with or without a database, and interpret results as well as future research opportunities. Proteomics is more accessible than ever before and will continue to rapidly advance in the coming years, enabling critical research and discoveries in non-model organisms that were hitherto impossible.

Entities:  

Keywords:  biomimicry; comparative biology; genomics; non-model; proteomics

Mesh:

Substances:

Year:  2020        PMID: 32786681      PMCID: PMC7874939          DOI: 10.1021/acs.jproteome.0c00448

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  121 in total

Review 1.  Neuroprotective adaptations in hibernation: therapeutic implications for ischemia-reperfusion, traumatic brain injury and neurodegenerative diseases.

Authors:  K L Drew; M E Rice; T B Kuhn; M A Smith
Journal:  Free Radic Biol Med       Date:  2001-09-01       Impact factor: 7.376

Review 2.  Revamping the evolutionary theories of aging.

Authors:  Adiv A Johnson; Maxim N Shokhirev; Boris Shoshitaishvili
Journal:  Ageing Res Rev       Date:  2019-08-23       Impact factor: 10.895

Review 3.  On the Dependency of Cellular Protein Levels on mRNA Abundance.

Authors:  Yansheng Liu; Andreas Beyer; Ruedi Aebersold
Journal:  Cell       Date:  2016-04-21       Impact factor: 41.582

4.  Potato leafroll virus structural proteins manipulate overlapping, yet distinct protein interaction networks during infection.

Authors:  Stacy L DeBlasio; Richard Johnson; Michelle M Sweeney; Alexander Karasev; Stewart M Gray; Michael J MacCoss; Michelle Cilia
Journal:  Proteomics       Date:  2015-04-29       Impact factor: 3.984

Review 5.  mRNAs, proteins and the emerging principles of gene expression control.

Authors:  Christopher Buccitelli; Matthias Selbach
Journal:  Nat Rev Genet       Date:  2020-07-24       Impact factor: 53.242

Review 6.  Proteomics-based methods for discovery, quantification, and validation of protein-protein interactions.

Authors:  Yana V Miteva; Hanna G Budayeva; Ileana M Cristea
Journal:  Anal Chem       Date:  2012-12-12       Impact factor: 6.986

7.  Diving seals, ischemia-reperfusion and oxygen radicals.

Authors:  R Elsner; S Oyasaeter; R Almaas; O D Saugstad
Journal:  Comp Biochem Physiol A Mol Integr Physiol       Date:  1998-04       Impact factor: 2.320

Review 8.  Epiproteomics: quantitative analysis of histone marks and codes by mass spectrometry.

Authors:  Yupeng Zheng; Xiaoxiao Huang; Neil L Kelleher
Journal:  Curr Opin Chem Biol       Date:  2016-06-29       Impact factor: 8.822

9.  Receptor and viral determinants of SARS-coronavirus adaptation to human ACE2.

Authors:  Wenhui Li; Chengsheng Zhang; Jianhua Sui; Jens H Kuhn; Michael J Moore; Shiwen Luo; Swee-Kee Wong; I-Chueh Huang; Keming Xu; Natalya Vasilieva; Akikazu Murakami; Yaqing He; Wayne A Marasco; Yi Guan; Hyeryun Choe; Michael Farzan
Journal:  EMBO J       Date:  2005-03-24       Impact factor: 11.598

10.  MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics.

Authors:  Andy T Kong; Felipe V Leprevost; Dmitry M Avtonomov; Dattatreya Mellacheruvu; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2017-04-10       Impact factor: 28.547

View more
  6 in total

1.  Communication Lower-Bounds for Distributed-Memory Computations for Mass Spectrometry based Omics Data.

Authors:  Fahad Saeed; Muhammad Haseeb; S S Iyengar
Journal:  J Parallel Distrib Comput       Date:  2021-11-17       Impact factor: 3.734

2.  Label-Free Quantification (LFQ) of Fecal Proteins for Potential Pregnancy Detection in Polar Bears.

Authors:  Erin Curry; Megan E Philpott; Jessye Wojtusik; Wendy D Haffey; Michael A Wyder; Kenneth D Greis; Terri L Roth
Journal:  Life (Basel)       Date:  2022-05-27

3.  Cloudy with a Chance of Peptides: Accessibility, Scalability, and Reproducibility with Cloud-Hosted Environments.

Authors:  Benjamin A Neely
Journal:  J Proteome Res       Date:  2021-01-29       Impact factor: 4.466

4.  Plant Proteomics and Systems Biology.

Authors:  Flavia Vischi Winck; André Luis Wendt Dos Santos; Maria Juliana Calderan-Rodrigues
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 5.  Snake Venomics: Fundamentals, Recent Updates, and a Look to the Next Decade.

Authors:  Choo Hock Tan
Journal:  Toxins (Basel)       Date:  2022-03-30       Impact factor: 5.075

Review 6.  Prospects of Using High-Throughput Proteomics to Underpin the Discovery of Animal Host-Nematode Interactions.

Authors:  Tao Wang; Robin B Gasser
Journal:  Pathogens       Date:  2021-06-30
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.