The Forde lab is a biophysics research group affiliated with the departments of Physics, Chemistry and Molecular Biology and Biochemistry.
Biophysics involves integrating skills and knowledge from a variety of fields to further our quantitative understanding of the marvels of life. In our group, we encourage students to learn techniques from a variety of fields, specializing in their own particular interests. Mastering this combination of skills from a range of scientific fields means that researchers in our group become true multidisciplinary scientists, able to communicate and work in a wide range of scientific disciplines.
To learn more about our lab and the work we do, please refer to the links at the top of the page. You can also check out Nancy describing some of our collagen goals in this video
produced by the Canada Foundation for Innovation
. En franšais, c'est ici
If you are interested in research experience in our group, please write to Nancy
including a CV and statement of why you're interested in our research, including how your past research or coursework relates to our ongoing research. If you are an undergraduate student looking for a thesis or ISS project in Physics, Chemistry or Molecular Biology & Biochemistry, we are especially interested in hearing from you.
on new surface chemistry approaches for single-molecule studies is published in Langmuir
. In this work, we present our Microsphere Adhesion by Gravity, Inversion and Counting (MAGIC) assay for quantifying nonspecific and specific adhesion to surfaces. We show that a chemically functionalized F127 performs exceptionally well at blocking and at specifically tethering to a glass surface a broad class of targets.
studying how the ends of collagen contribute to self-assembly is highlighted by Biophysical Journal
in a collection of optical tweezers papers honouring this year's Nobel Prize in Physics
that finds collagen to be described as a semiflexible polymer is published in Biophysical Journal
. In this work, we also develop the curved worm-like chain model, find collagen imaged on mica to have a salt-dependent intrinsic curvature, and introduce a new method for AFM image analysis called SmarTrace.
showing how track dimensionality can be used to tune the motility of "burnt-bridges" ratchets is published in Physical Review E
. Read about the work here
For older news, see the news archive