Scott Ferguson

ORCID: 0000-0003-0244-8856
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About
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Research Areas
  • Extracellular vesicles in disease
  • MicroRNA in disease regulation
  • RNA Interference and Gene Delivery
  • Single-cell and spatial transcriptomics
  • Immunotherapy and Immune Responses
  • RNA Research and Splicing
  • Chemokine receptors and signaling
  • Circular RNAs in diseases
  • Cancer Genomics and Diagnostics
  • Immune cells in cancer
  • Plasmonic and Surface Plasmon Research
  • CAR-T cell therapy research
  • Non-Destructive Testing Techniques
  • Cancer Immunotherapy and Biomarkers
  • Biochemical and Structural Characterization
  • Advanced biosensing and bioanalysis techniques
  • Monoclonal and Polyclonal Antibodies Research
  • Nanopore and Nanochannel Transport Studies
  • Phagocytosis and Immune Regulation

University at Buffalo, State University of New York
2016-2024

Center for Systems Biology
2020-2023

Massachusetts General Hospital
2020-2023

Mesenchymal stem cell (MSC)-derived exosomes mediate tissue regeneration in a variety of diseases including ischemic heart injury, liver fibrosis, and cerebrovascular disease. Despite an increasing number studies reporting the therapeutic effects MSC exosomes, underlying molecular mechanisms their miRNA complement are poorly characterized. Here we microRNA (miRNA)-profiled conducted network analysis to identify dominant biological processes pathways modulated by exosomal miRNAs. At system...

10.1038/s41598-018-19581-x article EN cc-by Scientific Reports 2018-01-17

Exosomes and extracellular vesicles (EV) are increasingly being explored as circulating biomarkers, but their heterogenous composition will likely mandate the development of multiplexed EV technologies. Iteratively analyses near single EVs have been challenging to implement beyond a few colors during spectral sensing. Here we developed analysis technique (MASEV) interrogate thousands individual 5 cycles multi-channel fluorescence staining for 15 biomarkers. Contrary common belief, show that:...

10.1038/s41467-023-36932-z article EN cc-by Nature Communications 2023-03-04

Tumor cell-derived extracellular vesicles (EVs) are being explored as circulating biomarkers, but it is unclear whether bulk measurements will allow early cancer detection. We hypothesized that a single-EV analysis (sEVA) technique could potentially improve diagnostic accuracy. Using pancreatic (PDAC), we analyzed the composition of putative markers in 11 model lines. In parental PDAC cells positive for KRASmut and/or P53mut proteins, only ~40% EVs were also positive. blinded study involving...

10.1126/sciadv.abm3453 article EN cc-by-nc Science Advances 2022-04-22

Tumor-derived extracellular vesicles (EVs) represent promising biomarkers for monitoring cancers. Technological advances have improved the ability to measure EV reliably in blood using protein, RNA, or lipid detection methods. However, it is less clear how efficacious current assays are early of small and thus curable tumors. Here, a mathematical model developed estimate key parameter values future requirements testing. Tumor volumes mice correlate well with increases total number...

10.1002/adbi.201900305 article EN Advanced Biosystems 2020-05-12

Excessive or prolonged recruitment of inflammatory monocytes to damaged tissue can significantly worsen patient outcomes. Monocytes migrate sites inflammation in response high local concentrations CCL2, a chemokine that binds and signals through the CCR2 receptor. While role cellular migration is well studied, it unclear how inhibition affects macrophage polarization if multivalency increase downstream signaling effects. Using affinity selection with phage library, we identified novel...

10.1021/acs.molpharmaceut.8b00237 article EN Molecular Pharmaceutics 2018-05-23

There is increasing effort to discover and integrate predictive and/or prognostic biomarkers into treatment algorithms. While tissue-based methods can reveal tumor-immune cell compositions at a single time point, we propose that single-cell sampling via fine needle aspiration (FNA) facilitate serial assessment of the tumor immune microenvironment (TME) with favorable risk-benefit profile.

10.1158/1078-0432.ccr-21-1252 article EN Clinical Cancer Research 2021-07-07

Abstract Small extracellular vesicles (sEVs), or exosomes, play important roles in physiological and pathological cellular communication. sEVs contain both short long non-coding RNAs that regulate gene expression epigenetic processes. Studying the intricacies of sEV function RNA-based communication requires tools capable labeling RNA. Here we developed a novel genetically encodable reporter system for tracking comprising an sEV-loading RNA sequence, termed EXO-Code, fused to fluorogenic...

10.1101/2021.08.18.456703 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2021-08-19

Abstract Exosomes and extracellular vesicles (EV) are increasingly being explored as circulating biomarkers, but their heterogenous composition will likely mandate the development of single EV technologies. Highly multiplexed analyses EVs have been challenging to implement beyond a few colors during spectral sensing. We use analysis technique (MASEV) interrogate thousands individual 5 cycles multi-channel fluorescence staining for 15 biomarkers. Contrary common belief, we show that i)...

10.1101/2022.06.17.496607 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-06-19

Abstract As the field of cancer immunotherapy brings forth novel and combinatorial agents, there is increasing effort to discover integrate predictive and/or prognostic biomarkers into treatment algorithms in order optimize care. While tissue-based methods can elucidate tumor-immune cell compositions at a single time point, serial assessment tumor immune microenvironment (TME) provide unique insight how various therapies may modulate target populations over time. We propose that single-cell...

10.1158/2326-6074.tumimm21-p056 article EN Cancer Immunology Research 2022-01-01

Abstract Tumor cell derived extracellular vesicles (EV) are being explored as circulating biomarkers for cancer detection. Up to now however, clinical results have been mixed a number of reasons including the predominant use bulk measurements, inability differentiate tumor from host vesicles, general absence uniquely identifying and unknown frequency stochastically distributed into single vesicles. We hypothesized that EV analysis (sEVA) technique could potentially improve diagnostic...

10.1101/2021.09.26.21263660 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2021-09-27
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