Evidence map›Paper›PMID 30598282›Full record

ArticleBiophysical journal2019

Revealing Nanoscale Morphology of the Primary Cilium Using Super-Resolution Fluorescence Microscopy.

Joshua Yoon, Colin J Comerci, Lucien E Weiss, Ljiljana Milenkovic, Tim Stearns, W E Moerner

Open access · greenAbstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Single-molecule imaging in the primary cilium.Methods in cell biology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Signaling in the primary cilium through the lens of the Hedgehog pathway.Wiley interdisciplinary reviews. Developmental biology · 2020
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Defining the layers of a sensory cilium with STORM and cryoelectron nanoscopy.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Joshua YoonDepartment of Applied Physics, Stanford University, Stanford, California; Department of Chemistry, Stanford University, Stanford, California.
Colin J ComerciBiophysics Program, Stanford University, Stanford, California.
Lucien E WeissDepartment of Chemistry, Stanford University, Stanford, California.
Ljiljana MilenkovicDepartment of Biology, Stanford University, Stanford, California.
Tim StearnsDepartment of Biology, Stanford University, Stanford, California.
W E MoernerDepartment of Applied Physics, Stanford University, Stanford, California; Department of Chemistry, Stanford University, Stanford, California. Electronic address: wmoerner@stanford.edu.
Stanford University · US

Funding

Single-Molecule Imaging for Cell Biology and Super-Resolution MicroscopyR35GM118067 · NIGMS · STANFORD UNIVERSITY · PI MOERNER, WILLIAM E · 2016 to 2025
$6.2M
Structure and mechanism of the centrosome-cilium complexR35GM130286 · NIGMS · STANFORD UNIVERSITY · PI STEARNS, TIM · 2019 to 2023
$3.4M
Functoinal compartmentalization of hedgehog signal transduction in primary ciliaR01GM121424 · NIGMS · STANFORD UNIVERSITY · PI STEARNS, TIM · 2017 to 2018
$615k
NIGMS NIH HHS R01 GM121424NIGMS NIH HHS R35 GM118067NIGMS NIH HHS R35 GM130286
6 · The paper itself

Abstract

Super-resolution (SR) microscopy has been used to observe structural details beyond the diffraction limit of ∼250 nm in a variety of biological and materials systems. By combining this imaging technique with both computer-vision algorithms and topological methods, we reveal and quantify the nanoscale morphology of the primary cilium, a tiny tubular cellular structure (∼2-6 μm long and 200-300 nm in diameter). The cilium in mammalian cells protrudes out of the plasma membrane and is important in many signaling processes related to cellular differentiation and disease. After tagging individual ciliary transmembrane proteins, specifically Smoothened, with single fluorescent labels in fixed cells, we use three-dimensional (3D) single-molecule SR microscopy to determine their positions with a precision of 10-25 nm. We gain a dense, pointillistic reconstruction of the surfaces of many cilia, revealing large heterogeneity in membrane shape. A Poisson surface reconstruction algorithm generates a fine surface mesh, allowing us to characterize the presence of deformations by quantifying the surface curvature. Upon impairment of intracellular cargo transport machinery by genetic knockout or small-molecule treatment of cells, our quantitative curvature analysis shows significant morphological differences not visible by conventional fluorescence microscopy techniques. Furthermore, using a complementary SR technique, two-color, two-dimensional stimulated emission depletion microscopy, we find that the cytoskeleton in the cilium, the axoneme, also exhibits abnormal morphology in the mutant cells, similar to our 3D results on the Smoothened-measured ciliary surface. Our work combines 3D SR microscopy and computational tools to quantitatively characterize morphological changes of the primary cilium under different treatments and uses stimulated emission depletion to discover correlated changes in the underlying structure. This approach can be useful for studying other biological or nanoscale structures of interest.

Indexed as

AnimalsAxonemeCell MembraneCells, CulturedCiliaFluorescent DyesMembrane ProteinsMiceMicroscopy, FluorescenceSingle Molecule ImagingFluorescent DyesMembrane Proteins

Identifiers

PMID30598282
PMCPMC6349968
OpenAlexW2895249621

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.