A deep breath sucks in dust, dirt, pollen, bacteria, and probably more than a few dust mites. Cilia, the cell’s tails and antennas, are among the most important biological structures. They line our windpipes and sweep away all the junk we inhale. They help us see, smell, and reproduce.
When a mutation disrupts the function or structure of cilia, the effects on the human body are devastating and sometimes lethal.
The challenge in diagnosing, studying, and treating these genetic disorders, called ciliopathies, is the small size of cilia—about 500-times thinner than a piece of paper. It’s been difficult to examine them in molecular detail until now.
Professor Daniela Nicastro and postdoctoral fellow Jianfeng Lin have captured the highest-resolution images of human cilia ever, using a new approach developed jointly with Lawrence Ostrowski and Michael Knowles from the University of North Carolina School of Medicine. They reported on the approach in a recent issue of Nature Communications.
About 20 different ciliopathies have been identified so far, including primary ciliary dyskinesia (PCD) and polycystic kidney disease (PKD), two of the most common ciliopathies. They are typically diagnosed through genetic screening and examination of a patient’s cilia under a conventional electron microscope.
The problem is, conventional electron microscopy is not powerful enough to detect all anomalies in the cilia, even when genetic mutations are present. As a result, the cause of ciliary malfunctions can be elusive and patients with ciliopathies can be misdiagnosed or undiagnosed.
Nicastro and her team developed an approach that includes advanced imaging technique that entails rapidly freezing human samples to preserve their native structure, imaging them with transmission electron microscopy, and turning those images into 3D models.
“For so long, researchers haven’t been able to see the small defects in human cilia,” Nicastro says. “Now, we can fill in the pieces of the puzzle.”
The researchers used the Louise Mashal Gabbay Cellular Visualization Facility at Brandeis. It is the first time this approach has been used on human cilia and patient samples.
Source: Brandeis University