Back

Imaging-Based Quantitative Assessment of Biomolecular Condensates in vitro and in Cells

Bergsma, T.; Steen, A.; Kamenz, J.; Gallardo, P.; Veenhoff, L. M.

2024-05-22 biochemistry
10.1101/2024.05.22.594518 bioRxiv
Show abstract

The formation of biomolecular condensates contributes to intracellular compartmentalization, and plays an important role in many cellular processes. The characterization of condensates is however challenging, requiring advanced biophysical or biochemical methods that are often less suitable for in vivo studies. A particular need for easily accessible yet thorough methods that enable the characterization of condensates across different experimental systems thus remains. To address this, we present PhaseMetrics, a semi-automated FIJI-based image analysis pipeline tailored for quantifying particle properties from microscopy data. Tested using the FG-domain of yeast nucleoporin Nup100, PhaseMetrics accurately assesses particle properties across diverse experimental setups, including in vitro, Xenopus egg extracts, and cellular systems. It reliably detects changes induced by various conditions such as the presence of polyethylene glycol, 1,6-hexanediol, a salt gradient, and the molecular chaperone DNAJB6b. By enabling the accurate representation of the variability within the population and the detection of subtle changes at the single particle level, the method complements conventional biochemical assays. Combined, PhaseMetrics is an easily accessible, customizable pipeline that enables imaging-based quantitative assessment of biomolecular condensates in vitro and in cells, providing a valuable addition to the current toolbox.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Methods
34 papers in training set
Top 0.1%
13.0%
2
Protein Science
246 papers in training set
Top 0.3%
9.7%
3
Nucleic Acids Research
1281 papers in training set
Top 2%
9.0%
4
Nature Communications
5641 papers in training set
Top 23%
6.8%
5
Journal of Molecular Biology
232 papers in training set
Top 0.5%
4.9%
6
JACS Au
43 papers in training set
Top 0.1%
3.5%
7
Journal of Biological Chemistry
690 papers in training set
Top 3%
3.2%
50% of probability mass above
8
eLife
5828 papers in training set
Top 37%
2.8%
9
Biophysical Journal
631 papers in training set
Top 2%
2.5%
10
Communications Chemistry
48 papers in training set
Top 0.4%
2.1%
11
Scientific Reports
3612 papers in training set
Top 47%
2.1%
12
Cell Reports Methods
165 papers in training set
Top 1%
1.9%
13
Communications Biology
993 papers in training set
Top 13%
1.7%
14
PLOS ONE
5266 papers in training set
Top 48%
1.7%
15
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 28%
1.7%
16
The Journal of Physical Chemistry B
167 papers in training set
Top 1%
1.5%
17
Science Advances
1243 papers in training set
Top 22%
1.4%
18
ACS Synthetic Biology
287 papers in training set
Top 2%
1.3%
19
Molecular & Cellular Proteomics
158 papers in training set
Top 1.0%
1.3%
20
Molecular Biology of the Cell
311 papers in training set
Top 2%
1.1%
21
Biochemistry
148 papers in training set
Top 2%
1.1%
22
Journal of Cell Biology
392 papers in training set
Top 3%
1.1%
23
SLAS Discovery
25 papers in training set
Top 0.2%
1.1%
24
Small
78 papers in training set
Top 1%
1.1%
25
Advanced Science
286 papers in training set
Top 8%
1.0%
26
Traffic
20 papers in training set
Top 0.2%
0.9%
27
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 5%
0.9%
28
iScience
1154 papers in training set
Top 39%
0.6%
29
Life Science Alliance
285 papers in training set
Top 9%
0.6%