 
          R E S E A R C H @ H K U S T
        
        
          
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          Imagine an interactive map of the human body, where you can
        
        
          simply click on a certain cell and see what type of cell it is and
        
        
          what it is doing, just like we can with Google maps. Despite
        
        
          our bodies being composed of trillions of complex cell
        
        
          types, such a map may not be too far in the future, thanks to
        
        
          innovation by bioengineers such as Prof Angela Wu.
        
        
          The early career academic is helping to drive forward
        
        
          single-cell genomics, a recently emerging field that is enabling
        
        
          vision and understanding of what we are made of at an
        
        
          unprecedented resolution and complexity. Traditional
        
        
          methods study millions of cells; but Prof Wu and her team are
        
        
          unique even among one-cell researchers. While most study
        
        
          DNA and RNA separately, the Wu lab is seeking to extract
        
        
          both simultaneously to develop a more complete set of
        
        
          information about a cell.
        
        
          Prof Wu, who has been selected
        
        
          as one of MIT Technology Review’s
        
        
          2017 “10 Innovators Under
        
        
          35” in Asia, is working on a
        
        
          strategy for tagging DNA
        
        
          and RNA so they can
        
        
          be sequenced simultaneously. As a
        
        
          technologist, she is also taking
        
        
          advantage of novel microfluidic
        
        
          device (“lab-on-a-chip”) designs.
        
        
          “I like using microfluidic chips
        
        
          because they offer automation, and,
        
        
          with the very small volumes involved,
        
        
          help improve the sensitivity of the assay
        
        
          and the quality of the data.”
        
        
          She is also well-equipped to
        
        
          handle such data as one
        
        
          of the first to come up
        
        
          with the methodology
        
        
          and framework for
        
        
          analyzing ver y
        
        
          complex single-cell
        
        
          datasets, when
        
        
          working as a
        
        
          p o s t d o c t o r a l
        
        
          fellow in Prof
        
        
          Stephen Quake’s
        
        
          group at Stanford
        
        
          University.
        
        
          Her contri-
        
        
          bution as a life
        
        
          scientist is her use
        
        
          of these single-
        
        
          MAPPING
        
        
          OURSELVES
        
        
          cell tools to learn more
        
        
          about the origins of
        
        
          disease, for example,
        
        
          the fundamental reason
        
        
          – “big bang event” – that initiates
        
        
          a cancer. There are two current theories:
        
        
          the first is that a stem cell goes rogue and
        
        
          gives rise to a tumor, which can be discerned
        
        
          by looking at RNA; the second is that cancer
        
        
          results fromthe accumulation of a lifetime
        
        
          of mutations in the genome, discerned at
        
        
          the DNA level. “Through our technique
        
        
          profiling both DNA and RNA in an
        
        
          individual cell, we can see how
        
        
          the two explanations fit together.
        
        
          Such knowledge will really help
        
        
          us arrive at an overall unifying
        
        
          view of cancer initiation.”
        
        
          While Prof Wu works on colon
        
        
          and liver cancer, the findings are likely
        
        
          to be applicable to many tissue types.
        
        
          The techniques being developed by Prof
        
        
          Wu are also highly relevant to the Human
        
        
          Cell Atlas project. This global initiative was
        
        
          launched in Fall 2016 by an international
        
        
          community of leading scientists to create a
        
        
          comprehensive reference map of different
        
        
          human cell types and their networks to
        
        
          better understand our health and how and
        
        
          why things go wrong. With that will come
        
        
          insight not only for scientists but for us all.
        
        
          Prof Wu’s research has been published
        
        
          in
        
        
          
            Nature, Nature Methods, PLoS Genetics
          
        
        
          and
        
        
          
            Lab on a Chip,
          
        
        
          among others.
        
        
          
            Microfluidic chip
          
        
        
          8.5cm
        
        
          
            PROF ANGELA WU
          
        
        
          Assistant Professor
        
        
          of Life Science, Chemical
        
        
          and Biological Engineering
        
        
          Just as different people play
        
        
          different roles in society,
        
        
          different cells also have
        
        
          different functions in an
        
        
          organ. We can better
        
        
          harness different cell
        
        
          types for medicine if we
        
        
          study and understand them at
        
        
          the single cell level