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Short-distance Transport of Resources

Short-distance Transport of Resources

Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.

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Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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Tonicity describes the capacity of a cell to lose or gain water. It depends on the quantity of solute that does not penetrate the membrane. Tonicity delimits the magnitude and direction of osmosis and results in three possible scenarios that alter the volume of a cell: hypertonicity, hypotonicity, and isotonicity. Due to differences in structure and physiology, tonicity of plant cells is different from that of animal cells in some scenarios.

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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

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Published on: January 22, 2011

Updates on resources, software tools, and databases for plant proteomics in 2016-2017.

Biswapriya B Misra¹

¹Department of Internal Medicine, Section of Molecular Medicine, Medical Center Boulevard, Winston-Salem, NC, USA.

Electrophoresis

|February 9, 2018

Summary

This review summarizes over 50 new proteomics software tools, databases, and resources from 2016-2017. These bioinformatics advancements aid plant proteomics research in data analysis and visualization.

Keywords:

Database Mass spectrometry Protein Software Tool

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Area of Science:

Proteomics
Bioinformatics
Plant Science

Background:

Large-scale high-throughput bottom-up proteomics experiments generate substantial data.
Tracking advances in in silico tool development for proteomics is challenging due to rapid progress.

Purpose of the Study:

To review and summarize over 50 software tools, databases, and resources for proteomics data processing and analysis.
To introduce novice readers to commonly used proteomics tools and aid the plant proteomics community.

Main Methods:

Categorization of tools into: data pre-processing and analysis, statistical analysis, peptide identification, databases and spectral libraries, and data visualization.
Review of resources published between 2016-2017.

Main Results:

Identification and summary of more than 50 open-source and community-developed proteomics tools.
Discussion of tools for data archiving and validation datasets.

Conclusions:

Newly developed proteomics tools significantly aid plant proteomics research by addressing data analysis and visualization challenges.
These resources support both informed researchers and novices in navigating the -omics discovery platform.