Login / Signup

A comparative meta-proteomic pipeline for the identification of plasmodesmata proteins and regulatory conditions in diverse plant species.

Philip KirkSam AmsburyLiam GermanRocio Gaudioso-PedrazaYoselin Benitez-Alfonso
Published in: BMC biology (2022)
Our study shows that combining proteomic meta-analysis and transcriptomic data can be a valuable tool for the identification of new proteins and regulatory mechanisms affecting plasmodesmata function. We have created the freely accessible pipeline PIP1 as a resource for the screening of experimental proteomes and for the in silico prediction of PD proteins in diverse plant species.
Keyphrases
  • systematic review
  • transcription factor
  • bioinformatics analysis
  • electronic health record
  • label free
  • randomized controlled trial
  • meta analyses
  • single cell
  • machine learning
  • rna seq