Combining human platelet proteomes and transcriptomes: possibilities and challenges

Jingnan Huang1, Johan W M Heemskerk2, Frauke Swieringa2

  • 1Department of Nephrology, the First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China.

Platelets
|June 14, 2023
PubMed

Insights

Human platelets contain diverse messenger RNAs (mRNAs) originating from megakaryocytes. Comparing the platelet transcriptome and proteome reveals under-representation of certain protein types, highlighting challenges in comprehensive analysis.

Area of Science:

  • Hematology and Molecular Biology
  • Platelet biology and transcriptomics
  • Proteomics and genomics

Background:

  • Anucleate human platelets possess a wide array of messenger RNAs (mRNAs) and other RNA transcripts.
  • Quantitative similarities in mRNA between megakaryocytes and platelets suggest a common origin and random redistribution during proplatelet formation.

Purpose of the Study:

  • To compare the classified platelet transcriptome with the identified platelet proteome.
  • To discuss challenges and possibilities for achieving a complete, genome-wide platelet transcriptome and proteome.
  • To explore applications in understanding intra- and inter-subject platelet differences and aiding genetic diagnostics.

Main Methods:

  • Classification of the platelet transcriptome (17.6k transcripts).
  • Identification of the platelet proteome (5.2k proteins).
  • Comparative analysis of transcriptome and proteome data.

Main Results:

  • The platelet proteome shows under-representation of nuclear proteins (unlike other organellar proteins).
  • Membrane receptors/channels with low transcript levels, transcription/translation proteins, and uncharacterized proteins are also under-represented.
  • Significant technical, normalization, and database-dependent challenges exist in generating comprehensive platelet molecular profiles.

Conclusions:

  • A complete, genome-wide reference platelet transcriptome and proteome are crucial for further research.
  • Such reference data will aid in elucidating platelet variations in health and disease.
  • Potential applications include advancing genetic diagnostics and understanding platelet function.

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