Article
Deciphering Abnormal Platelet Subpopulations in Inflammatory Diseases through Machine Learning and Single-Cell Transcriptomics
2023-12-21
Abstract excerpt
<h4>Introduction: </h4> The transcriptional heterogeneity of activated platelets, play a significant role in contributing to negative outcomes in sepsis, COVID-19, and autoimmune diseases such as systemic lupus erythematosus (SLE). Despite this, our understanding of these heterogeneous platelet responses remains limited. In this study, we aim to investigate the diverse transcriptional profiles of activated platele...
Topics
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- Acute Myeloid Leukemia Research
- Adipokines, Inflammation, and Metabolic Diseases
- Cancer-related molecular mechanisms research
- COVID-19 Clinical Research Studies
- Inflammatory Biomarkers in Disease Prognosis
- Kruppel-like factors research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Identifiers and source
- Literature Corpus work
- e39f507c-caff-5b90-b472-da96490bc484
- DOI
- 10.1101/2023.12.20.572680
