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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Ribosome Profiling02:24

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
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Related Experiment Video

Updated: Sep 13, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Single-cell RNA sequencing of platelets: challenges and potential.

Giacomo Viggiani1,2, Kilian Kirmes1,2, Jiaying Han1,2

  • 1Department of Internal Medicine I, University Hospital Rechts Der Isar, Technical University of Munich, Munich, Germany.

Journal of Thrombosis and Thrombolysis
|July 31, 2025
PubMed
Summary

Single-cell RNA sequencing (scRNA-seq) of platelets is now feasible. This pilot study demonstrates a new method for analyzing platelet RNA, offering insights into platelet biology and disease.

Keywords:
10X genomicsPlatelet rich plasmaPlateletsSingle-cell RNA sequencingThrombocyte biology

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Last Updated: Sep 13, 2025

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Area of Science:

  • Hematology
  • Molecular Biology
  • Genomics

Background:

  • Platelets are vital anuclear cells involved in hemostasis, immunity, and vascular diseases.
  • Platelets contain RNA inherited from megakaryocytes and can synthesize proteins, but studying their transcriptome is challenging due to limited RNA content and high reactivity.
  • Previous transcriptomic studies of platelets faced limitations, hindering deep biological insights.

Purpose of the Study:

  • To establish the feasibility of performing single-cell RNA sequencing (scRNA-seq) on platelets derived from whole blood.
  • To explore platelet heterogeneity and gene expression profiles at the single-cell level.

Main Methods:

  • Peripheral whole blood was collected and processed to obtain platelet-rich plasma (PRP).
  • Single-cell RNA sequencing (scRNA-seq) was performed on PRP using the 10X Genomics platform.
  • Bioinformatic analyses included data normalization, Uniform Manifold Approximation and Projection (UMAP) clustering, and differential gene expression analysis.

Main Results:

  • The scRNA-seq successfully identified three distinct platelet clusters.
  • One cluster was notably enriched for platelet-specific lineage markers, including PPBP and PF4.
  • Mitochondrial RNA constituted approximately 14% of the total RNA counts.

Conclusions:

  • This pilot study demonstrates the feasibility of scRNA-seq for platelets isolated from whole blood, overcoming previous technical challenges.
  • This advancement opens new avenues for understanding platelet biology, immune responses, and vascular diseases at a single-cell resolution.
  • The findings encourage further research focusing on platelet transcriptomics for clinical applications.