Back

A workflow for visualizing human cancer biopsies using large-format electron microscopy

Riesterer, J. L.; Lopez, C. S.; Stempinski, E. S.; Williams, M.; Loftis, K.; Stoltz, K.; Thibault, G.; Lanicault, C.; Williams, T.; Gray, J. W.

2019-06-19 cancer biology
10.1101/675371 bioRxiv
Show abstract

Recent developments in large format electron microscopy have enabled generation of images that provide detailed ultrastructural information on normal and diseased cells and tissues. Analyses of these images increase our understanding of cellular organization and interactions and disease-related changes therein. In this manuscript, we describe a workflow for two-dimensional (2D) and three-dimensional (3D) imaging, including both optical and scanning electron microscopy (SEM) methods, that allow pathologists and cancer biology researchers to identify areas of interest from human cancer biopsies. The protocols and mounting strategies described in this workflow are compatible with 2D large format EM mapping, 3D focused ion beam-SEM and serial block face-SEM. The flexibility to use diverse imaging technologies available at most academic institutions makes this workflow useful and applicable for most life science samples. Volumetric analysis of the biopsies studied here revealed morphological, organizational and ultrastructural aspects of the tumor cells and surrounding environment that cannot be revealed by conventional 2D EM imaging. Our results indicate that although 2D EM is still an important tool in many areas of diagnostic pathology, 3D images of ultrastructural relationships between both normal and cancerous cells, in combination with their extracellular matrix, enables cancer researchers and pathologists to better understand the progression of the disease and identify potential therapeutic targets.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Journal of Microscopy
20 papers in training set
Top 0.1%
23.5%
2
Biological Imaging
15 papers in training set
Top 0.1%
12.5%
3
Scientific Reports
3612 papers in training set
Top 14%
5.8%
4
PLOS ONE
5266 papers in training set
Top 30%
5.1%
5
eLife
5828 papers in training set
Top 24%
5.1%
50% of probability mass above
6
Microscopy and Microanalysis
12 papers in training set
Top 0.1%
4.5%
7
Journal of Structural Biology
64 papers in training set
Top 0.2%
3.6%
8
Journal of Visualized Experiments
34 papers in training set
Top 0.2%
2.9%
9
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 1%
2.8%
10
Journal of Medical Imaging
11 papers in training set
Top 0.1%
2.2%
11
npj Imaging
12 papers in training set
Top 0.1%
2.2%
12
Biology Open
156 papers in training set
Top 1%
1.8%
13
Frontiers in Bioinformatics
49 papers in training set
Top 0.7%
1.2%
14
Journal of Neuroscience Methods
122 papers in training set
Top 1%
1.1%
15
PeerJ
308 papers in training set
Top 9%
1.1%
16
Journal of Structural Biology: X
17 papers in training set
Top 0.2%
0.9%
17
Biochemistry and Biophysics Reports
30 papers in training set
Top 1%
0.9%
18
Journal of Cell Biology
392 papers in training set
Top 4%
0.9%
19
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 3%
0.6%
20
Journal of Anatomy
29 papers in training set
Top 0.5%
0.6%
21
Wellcome Open Research
67 papers in training set
Top 2%
0.6%
22
Royal Society Open Science
214 papers in training set
Top 7%
0.6%
23
Nature Protocols
33 papers in training set
Top 0.5%
0.6%
24
Frontiers in Cellular Neuroscience
91 papers in training set
Top 2%
0.6%
25
Frontiers in Physics
21 papers in training set
Top 0.4%
0.6%
26
Optica
27 papers in training set
Top 0.3%
0.6%
27
JID Innovations
11 papers in training set
Top 0.2%
0.6%
28
International Journal of Molecular Sciences
494 papers in training set
Top 18%
0.5%
29
Biomedical Optics Express
95 papers in training set
Top 1%
0.5%
30
Disease Models & Mechanisms
119 papers in training set
Top 3%
0.5%