Article
Deciphering Abnormal Platelet Subpopulations in Inflammatory Diseases through Machine Learning and Single-Cell Transcriptomics
2024-03-07
Abstract excerpt
<title>Abstract</title><p>The study focuses on understanding the transcriptional heterogeneity of activated platelets and its impact on diseases like sepsis, COVID-19, and systemic lupus erythematosus (SLE). Recognizing the limited knowledge in this area, our research aims to dissect the complex transcriptional profiles of activated platelets to aid in developing targeted therapies for abnormal and pathogenic plat...
Topics
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- Acute Myeloid Leukemia Research
- Adipokines, Inflammation, and Metabolic Diseases
- Antiplatelet Therapy and Cardiovascular Diseases
- Cancer-related molecular mechanisms research
- Inflammatory Biomarkers in Disease Prognosis
- Kruppel-like factors research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Platelet Disorders and Treatments
Identifiers and source
- Literature Corpus work
- c9731a06-db2d-511c-bc8f-e56bdb299483
- DOI
- 10.21203/rs.3.rs-4014672/v1
