Publications by authors named "Tieyi Li"

Article Synopsis
  • Small extracellular vesicles (sEVs) are tiny vesicles (30-150nm) released by cells, important for diagnosing and treating diseases, with varied biological compositions influencing their functions.
  • The study combined surface-enhanced Raman spectroscopy (SERS) and machine learning to analyze individual sEVs, revealing that specific spectral features (biomolecular "fingerprints") correspond to the vesicles' biomolecular makeup.
  • The findings suggest that size-based isolation methods effectively yield sEVs with similar biochemical properties, enabling better differentiation among sub-populations, as over 84% of vesicles in the same size group exhibited distinct SERS features.
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An emerging body of research by biologists and clinicians has demonstrated the clinical application of small extracellular vesicles (sEVs, also commonly referred to as exosomes) as biomarkers for cancer detections. sEVs isolated from various body fluids such as blood, saliva, urine, and cerebrospinal fluid have been used for biomarker discoveries with highly encouraging outcomes. Among the biomarkers discovered are those responsible for multiple cancer types and immune responses.

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Gastric cancer (GC) is one of the most common and lethal types of cancer affecting over one million people, leading to 768,793 deaths globally in 2020 alone. The key for improving the survival rate lies in reliable screening and early diagnosis. Existing techniques including barium-meal gastric photofluorography and upper endoscopy can be costly and time-consuming and are thus impractical for population screening.

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The extracellular RNA communication consortium (ERCC) is an NIH-funded program aiming to promote the development of new technologies, resources, and knowledge about exRNAs and their carriers. After Phase 1 (2013-2018), Phase 2 of the program (ERCC2, 2019-2023) aims to fill critical gaps in knowledge and technology to enable rigorous and reproducible methods for separation and characterization of both bulk populations of exRNA carriers and single EVs. ERCC2 investigators are also developing new bioinformatic pipelines to promote data integration through the exRNA atlas database.

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