
Xin Wang
· Microbiology and Cell Science, University of FloridaVerifiedUniversity of Florida · Microbiology and Cell Science
Active 1998–2025
About
Xin Wang is an Associate Professor in the Department of Microbiology and Cell Science at the University of Florida. His research focuses on the designing principles of cells and their applications in synthetic biology. He employs experimental evolution, genetics, and biochemistry approaches to identify and characterize genetic traits that are associated with increased photosynthetic efficiency in cyanobacteria. This work aims to enhance understanding of cellular design and improve photosynthetic processes through synthetic biology techniques.
Research topics
- Data Mining
- Artificial Intelligence
- Computer Science
- Psychology
Selected publications
Bioorganic Chemistry · 2025-11-05
articleInformation Fusion · 2024 · 4 citations
1st authorCorresponding- Computer Science
- Computer Science
- Artificial Intelligence
Nitroalkanes as Thioacyl Equivalents to Access Thioamides and Thiopeptides
Figshare · 2023-01-01
datasetOpen access1st authorCorrespondingThe direct coupling of readily available nitroalkane and amines with just S8 and Na2S, provides an efficient way to make thioamides and thiopeptides. Mechanistic insights indicated acyl nitrite was the key intermediates. With this in-situ generated thioacylating reagents, a wide of thioamide-containing bioactive compounds were easily prepared.
Haemophilia · 2014-11-23 · 10 citations
articleOpen accessOur laboratory develops protocols to prevent or reverse ongoing anti-hFIX IgG inhibitors in haemophilia B mice with a F9 gene deletion on BALB/c and C3H/HeJ backgrounds. C3H/HeJ F9(-/Y) mice develop high titre anti-hFIX IgG1 inhibitors and anaphylaxis, whereas most BALB/c F9(-/Y) mice have mild anti-hFIX IgG1 inhibitors and no anaphylaxis. Our aim was to determine if hFIX-specific B- and T-cell responses in BALB/c and C3H/HeJ F9(-/Y) mice trigger the difference in anti-hFIX immune responses. BALB/c and C3H/HeJ F9(-/Y) mice were challenged weekly with recombinant hFIX protein. Humoral immune responses were determined by IgG1 and IgG2a anti-hFIX ELISA, Bethesda assay for inhibitors and B-cell ELISpot on bone marrow and spleen cells. T-cell studies measured the TH 1 (IFN-γ) and TH 2 (IL-4) cytokine responses in splenocytes at the mRNA and protein level in response to hFIX protein. Antibody responses were also measured in C3H/HeJ/OuJ F9(-/Y) mice with restored toll-like receptor 4 (TLR4) function. BALB/c F9(-/Y) mice have a TH 2 skewed response and a reduction in anti-hFIX secreting plasma cells in the bone marrow. Independent antigen challenge revealed both strains generated equivalent IgG1 antibody titres to an intravenously delivered antigen. C3H/HeJ F9(-/Y) mice have a mixed TH 1 and TH 2 response (mainly TH 2). Importantly, TLR4 signalling has a modulatory role in the C3H background on the levels of anti-hFIX IgG1 and incidence of anaphylaxis. The background strain strongly impacts the immune response to hFIX, which can be significantly impacted by mutations in innate immune sensors.
Clinical Microbiology and Infection · 2012-05-31 · 20 citations
reviewOpen accessBriefings in Bioinformatics · 2011-04-27 · 167 citations
articleOpen accessRecent advances in massively parallel sequencing technology have created new opportunities to probe the hidden world of microbes. Taxonomy-independent clustering of the 16S rRNA gene is usually the first step in analyzing microbial communities. Dozens of algorithms have been developed in the last decade, but a comprehensive benchmark study is lacking. Here, we survey algorithms currently used by microbiologists, and compare seven representative methods in a large-scale benchmark study that addresses several issues of concern. A new experimental protocol was developed that allows different algorithms to be compared using the same platform, and several criteria were introduced to facilitate a quantitative evaluation of the clustering performance of each algorithm. We found that existing methods vary widely in their outputs, and that inappropriate use of distance levels for taxonomic assignments likely resulted in substantial overestimates of biodiversity in many studies. The benchmark study identified our recently developed ESPRIT-Tree, a fast implementation of the average linkage-based hierarchical clustering algorithm, as one of the best algorithms available in terms of computational efficiency and clustering accuracy.
Physical Review B · 2010-04-19 · 29 citations
articleOpen accessWe present results of detailed investigations of light emission from semiconductor multiple quantum wells at low temperatures and high magnetic fields excited by intense femtosecond laser pulses. The intensity and linewidth as well as the directional and statistical properties of photoemission strongly depended on the magnetic field strength and pump laser fluence. We also investigated the effects of spot size, temperature, excitation geometry, and excitation pulse width on the emission properties. The results suggest that the initially incoherent photoexcited electron-hole pairs spontaneously form a macroscopic coherent state upon relaxation into the low-lying magnetoexcitonic states, followed by the emission of a superfluorescent burst of radiation. We have developed a theoretical model for superfluorescent emission from semiconductor quantum wells, which successfully explained the observed characteristics.
2007-05-01
articleUltrafast cooperative recombination from dense electron-hole plasmas in quantum wells is reported as a function of energy level mixing, temperature, and excitation pulse width under strong magnetic fields (up to 31 T).
Evidence for Superfluorescent Recombination from Dense Magneto-plasmas
Springer series in chemical physics · 2007-01-01
book-chapter1st authorCorresponding2007-08-01
articleUltrafast cooperative recombination from dense electron-hole plasmas in magnetically formed quantum dots (with magnetic field up to 31 T) was investigated as a function of energy level mixing, temperature, and excitation pulse width.
Frequent coauthors
- 11 shared
Junichiro Kono
Rice University
- 11 shared
Young-Dahl Jho
Gwangju Institute of Science and Technology
- 10 shared
Volker Mai
University of Florida
- 9 shared
Yunpeng Cai
- 9 shared
X. Wei
- 9 shared
D. H. Reitze
California Institute of Technology
- 9 shared
William G. Farmerie
University of Florida
- 9 shared
Rob Knight
University of California, San Diego
Labs
Wang LabPI
Education
Ph.D., Microbiology and Cell Science
University of Florida
M.S., Microbiology and Cell Science
University of Florida
B.S., Microbiology and Cell Science
University of Florida
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