Back

A super-resolution compatible workflow for highly multiplexed immunofluorescence of routinely processed kidney tissue

Siegerist, F.; Kitzel, S.; Telli, N.; Dikou, J. S.; Drenic, V.; Chadjichristos, C. E.; Chatziantoniou, C.; Endlich, N.

2023-12-11 cell biology
10.1101/2023.12.11.570994 bioRxiv
Show abstract

Deep insights into the complex cellular and molecular changes occurring during different (patho-)physiological conditions are essential for understanding the interactions and regulation of different proteins. This understanding is crucial for both research and diagnostics. However, the effectiveness of conventional immunofluorescence, an effective tool for visualizing the spatial distribution of cells or proteins, is limited in complex tissues. This is mainly due to challenges such as the spectral overlap of fluorophore wavelengths, a limited range of antibody types, and the inherent variability of samples. Multiplex immunofluorescence imaging offers a solution to these limitations by enabling precise localization of proteins and identification of different cell types in a single tissue sample. In this study, we demonstrate the cyclic staining and de-staining of paraffin kidney sections, making it suitable for routine use and compatible with super-resolution microscopy for podocyte ultrastructural studies. We have further developed a computerized workflow for data processing which is accessible to all researchers through commercially available reagents and open-access image analysis codes. As a proof of principle, we identified CDH2 as a marker for cellular lesions of sclerotic glomeruli in the nephrotoxic serum nephritis mouse model and cross-validated this finding with a human Nephroseq dataset indicating its translatability. In summary, our work represents a significant advance in multiplex imaging, which is crucial for understanding the localization of numerous proteins in a single FFPE kidney section and the compatibility with super-resolution microscopy to study ultrastructural changes of podocytes.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 21%
8.7%
2
Scientific Reports
3102 papers in training set
Top 9%
8.7%
3
Cytometry Part A
30 papers in training set
Top 0.1%
8.5%
4
Laboratory Investigation
13 papers in training set
Top 0.1%
8.5%
5
Nature Communications
4913 papers in training set
Top 35%
4.3%
6
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 1%
4.1%
7
Communications Biology
886 papers in training set
Top 1%
3.7%
8
Journal of Microscopy
18 papers in training set
Top 0.1%
3.7%
50% of probability mass above
9
Biomedical Optics Express
84 papers in training set
Top 0.6%
1.9%
10
Advanced Science
249 papers in training set
Top 10%
1.7%
11
Kidney International
25 papers in training set
Top 0.2%
1.7%
12
Journal of Cell Science
353 papers in training set
Top 1.0%
1.7%
13
Journal of Structural Biology: X
15 papers in training set
Top 0.1%
1.4%
14
eLife
5422 papers in training set
Top 46%
1.4%
15
Molecular & Cellular Proteomics
158 papers in training set
Top 1%
1.0%
16
The FASEB Journal
175 papers in training set
Top 2%
1.0%
17
Cells
232 papers in training set
Top 4%
1.0%
18
Advanced Biology
29 papers in training set
Top 0.7%
1.0%
19
Cell Reports Methods
141 papers in training set
Top 4%
1.0%
20
Biological Imaging
15 papers in training set
Top 0.2%
0.9%
21
Optica
25 papers in training set
Top 0.6%
0.9%
22
iScience
1063 papers in training set
Top 26%
0.9%
23
Kidney360
22 papers in training set
Top 0.5%
0.8%
24
Biology Methods and Protocols
53 papers in training set
Top 2%
0.8%
25
International Journal of Molecular Sciences
453 papers in training set
Top 14%
0.8%
26
Frontiers in Immunology
586 papers in training set
Top 7%
0.8%
27
Computational and Structural Biotechnology Journal
216 papers in training set
Top 9%
0.8%
28
Computers in Biology and Medicine
120 papers in training set
Top 5%
0.7%
29
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 6%
0.7%
30
Journal of Biomedical Optics
25 papers in training set
Top 0.7%
0.7%