We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




CTC Protein Expression Uses Microfluidic Western Blotting

By LabMedica International staff writers
Posted on 06 Apr 2017
Circulating tumor cells (CTCs) are rare tumor cells found in the circulatory system of certain cancer patients and the clinical and functional significance of CTCs is still under investigation.

Circulating tumor cells have been isolated from the blood of breast cancer patients and, then microscale physics has been used to design a precision test for protein biomarkers, which are indicators of cancer.

Scientists at the University of California – Berkeley recruited 12 patients with advanced breast cancer and blood was drawn and processed with in five hours after collection. More...
White blood cells were prepared by lysing the red blood cells. Single-cell resolution western blots (scWB) were used to measure a panel of proteins in single CTCs isolated from patients with primary estrogen receptor-positive (ER+) breast cancer.

A commercially available microfluidic tool was used for label-free isolation of circulating cancer cells in both the cell line spiking and cancer patient blood experiments. Flow cytometry analysis was performed and cells were analyzed on a Guava flow cytometer.

The scientists found that the precision handling and analysis revealed a capacity to assay sparingly available patient-derived CTCs, a biophysical CTC phenotype more lysis-resistant than breast cancer cell lines. A capacity to report protein expression was demonstrated on a per CTC basis and two statistically distinct glyceraldehyde 3-phosphate dehydrogenase (GAPDH) subpopulations within the patient-derived CTCs. By sorting and probing the protein targets, the test is more selective than existing pathology tools. Enhanced selectivity will be crucial in detecting subtle chemical modifications to biomarkers that can be important but difficult to measure.

Amy E. Herr, PhD, a professor and senior author of the study said, “Microfluidic design was key in this study. We were able to integrate features needed for each measurement stage into one process. Systems integration allowed us to do every single measurement step very, very quickly while the biomarkers are still concentrated. If not performed exceptionally fast, the cell's proteins diffuse away and become undetectable.” The study was published on March 23, 2017, in the journal Nature Communications.


Gold Member
Quality Control Material
iPLEX Pro Exome QC Panel
New
Gold Member
Automatic Hematology Analyzer
CF9600
New
Chromogenic Culture System
InTray™ COLOREX™ ECC
New
Thyroid Test
Anti-Thyroid EIA Test
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image

Urine-Based Multi-Cancer Screening Test Receives FDA Breakthrough Device Designation

Early detection across multiple cancers remains a major unmet need in population screening. Non-invasive approaches that can be delivered at scale may broaden access and shift diagnoses to earlier stages.... Read more

Molecular Diagnostics

view channel
Image: The new approach focuses on CpG DNA methylation, a chemical modification of cytosine and guanine bases, using tumor samples to develop a computational model that distinguishes among 21 cancer types (photo credet: 123RF)

Machine Learning Model Uses DNA Methylation to Predict Tumor Origin in Cancers of Unknown Primary

Cancers of unknown primary (CUP) are metastatic malignancies in which the primary site cannot be identified, complicating treatment selection. Many patients consequently receive broad, nonspecific chemotherapy... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.