Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Quantifying cell-surface biomarker expression in thick tissues with ratiometric three-dimensional microscopy.

Jonathan T C Liu | Mike W Helms | Michael J Mandella | James M Crawford | Gordon S Kino | Christopher H Contag
Biophysical journal | 2009

The burgeoning fields of in vivo three-dimensional (3D) microscopy and endomicroscopy, as well as ex vivo tissue cytometry have introduced new challenges for tissue preparation and staining with exogenous molecular contrast agents. These challenges include effective delivery of the agents, and once delivered, distinguishing between bound verses unbound molecular probes. If applied topically, there are additional issues with rinsing off unbound probe, which can be nonuniform and inefficient in thick tissues, thus leading to ambiguous contrast and a large nonspecific background that may obscure molecule-specific staining. Therefore, we have developed a ratiometric 3D microscopy scheme that not only reduces the effects of nonspecific sources of contrast, but also enables quantification of the relative binding affinity of imaging probes to their biomarker targets. Here we demonstrate this ratiometric approach by simultaneously imaging a HER2/neu (erbB2)-targeted monoclonal antibody labeled with one fluorophore and an isotype-matched negative control antibody labeled with another fluorophore. By taking a pixel-by-pixel calibrated ratio between the signals from each fluorescent image channel, accurate quantification of specific versus nonspecific binding affinity is achieved with cultured cells, yielding data that are in agreement with analyses via flow cytometry. We also demonstrate quantitative 3D microscopic imaging of biomarker expression in tissue models and in thick human biopsy samples of normal, HER2-negative, and HER2-positive breast tumors. This strategy enables rapid, quantitative, and unambiguous volumetric microscopy of biomarker expression in thick tissues, including whole biopsies, and will enable real-time optical assessment of disease markers in the living body.

Pubmed ID: 19289065

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NIBIB NIH HHS, United States
    Id: R00 EB008557
  • Agency: NCI NIH HHS, United States
    Id: U54 CA105296
  • Agency: NCI NIH HHS, United States
    Id: U54 CA105296-05

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Advanced 3D Visualization and Volume Modeling (tool)

RRID:SCR_014305

Software tool for visualizing, manipulating, and understanding data from tomography, microscopy, MRI and other imaging processes.Used to import and export options, to processes 3D image filtering and DTI based fiber tracking to visualization, volume and surface rendering, author tools for virtual reality navigation, video generation, and more.

View all literature mentions

Advanced 3D Visualization and Volume Modeling (tool)

RRID:SCR_007353

Software tool for visualizing, manipulating, and understanding data from tomography, microscopy, MRI and other imaging processes.Used to import and export options, to processes 3D image filtering and DTI based fiber tracking to visualization, volume and surface rendering, author tools for virtual reality navigation, video generation, and more.

View all literature mentions