Contact information
Research groups
Guanlin Wang
PhD
Postdoctoral researcher
Techniques profiling single cells give us unprecedented opportunities to understand cellular heterogeneity delicately and design precise medicine for diseases. Currently I am a postdoctoral computational biologist with Professor Adam Mead and Dr. Supat Thongjuea. My main research interest is to get a better understanding of blood malignancies using single cell -omics techniques and develop new computational tools for single cell -omics analyses.
Before I came here, I completed my PhD with Professor John Speakman at Institute of Genetics and Developmental Biology, Chinese Academy of Sciences and University of Aberdeen. My PhD project was on the mircoevolution of genes related metabolic traits (obesity/type 2 diabetes).
Key publications
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Analysis of Positive Selection at Single Nucleotide Polymorphisms Associated with Body Mass Index Does Not Support the “Thrifty Gene” Hypothesis
Journal article
Wang G. and Speakman JR., (2016), Cell Metabolism, 24, 531 - 541
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Single-Cell Analyses Reveal Megakaryocyte-Biased Hematopoiesis in Myelofibrosis and Identify Mutant Clone-Specific Targets.
Journal article
Psaila B. et al, (2020), Mol Cell, 78, 477 - 492.e8
Recent publications
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Effects of dietary macronutrients and body composition on glucose homeostasis in mice
Journal article
Hu S. et al, (2020), National Science Review
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Spliceosome mutations are common in persons with myeloproliferative neoplasm-associated myelofibrosis with RBC-transfusion-dependence and correlate with response to pomalidomide
Journal article
Chowdhury O., (2020), Leukemia
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Single-Cell Analyses Reveal Megakaryocyte-Biased Hematopoiesis in Myelofibrosis and Identify Mutant Clone-Specific Targets.
Journal article
Psaila B. et al, (2020), Mol Cell, 78, 477 - 492.e8
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No impact of hunger on male perception of female physical attractiveness in relation to adiposity: a randomized controlled trial
Journal article
Jin Z. et al, (2020), International Journal of Obesity, 44, 418 - 427
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Single-cell analysis of bone marrow-derived CD34+ cells from children with sickle cell disease and thalassemia.
Journal article
Hua P. et al, (2019), Blood, 134, 2111 - 2115