Back

Epitope-based labeling for improved live-imaging of endogenous proteins in C. elegans

Ruijtenberg, S.; Salm, E. V. D.; Schroeder, M. H.; Steller, L. B.; Miller, S. I.; Scheper, A.; Nowee, G.; Griffin, E. E.

2026-02-08 developmental biology
10.64898/2026.02.05.703904 bioRxiv
Show abstract

Visualizing protein expression dynamics with high temporal resolution is essential for understanding how cells acquire specific fates and functions during development, where key decisions can occur within minutes. Conventional direct fluorescent tagging often fails to capture these rapid changes in protein expression due to the relatively slow fluorophore maturation time. Indirect epitope-based labeling strategies offer a promising alternative, yet only a limited number of these systems have been developed and used in the context of multicellular organisms. Here, we evaluate and combine four epitope-based indirect labeling systems for live-imaging of proteins in C. elegans: the SunTag, Frankenbody, MoonTag and AlfaTag systems. Each system uses a fluorescently labeled high-affinity single-chain antibody or nanobody to recognize short peptide epitopes fused to a protein of interest, enabling immediate visualization of newly synthesized proteins. We demonstrate that all four systems specifically label epitope-tagged endogenous proteins and show no detectable cross-reactivity when used in dual-color combinations, enabling simultaneous visualization of distinct proteins within the same embryo. In addition, we show that the SunTag system offers three major advantages over direct labeling: earlier detection of proteins, enhanced sensitivity through signal amplification (as illustrated by CAM-1) and less impact on the function (as demonstrated for ERM-1). Together, this expanded toolkit of epitope-based labeling systems offers many new opportunities for visualizing rapid protein dynamics and for dissecting how their dynamics drive cell fate decisions during development. SUMMARYThe development of epitope-labeling systems has improved live-imaging quality of proteins. Unfortunately, limited systems exist for multicellular organisms to study protein expression in the context of development. Here, we expand the epitope-labeling toolbox for C. elegans by combining SunTag or Frankenbody with MoonTag or AlfaTag. Our data indicates that these systems simultaneously visualize different endogenous proteins without cross-reactivity. Moreover, the SunTag system shows advantages over direct labeling: earlier detection, enhanced sensitivity through signal amplification and less impact on protein function. This expanded epitope-labeling toolbox in C. elegans provides opportunities for accurate visualization of different proteins that drive cell fate decisions. O_FIG O_LINKSMALLFIG WIDTH=155 HEIGHT=200 SRC="FIGDIR/small/703904v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@449fe0org.highwire.dtl.DTLVardef@15c68cforg.highwire.dtl.DTLVardef@1e51ff8org.highwire.dtl.DTLVardef@196114d_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

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

1
Development
440 papers in training set
Top 0.1%
18.5%
2
Developmental Biology
134 papers in training set
Top 0.2%
14.3%
3
PLOS ONE
4510 papers in training set
Top 19%
10.0%
4
Developmental Dynamics
50 papers in training set
Top 0.1%
6.8%
5
Biology Open
130 papers in training set
Top 0.1%
6.3%
50% of probability mass above
6
Molecular Biology of the Cell
272 papers in training set
Top 0.5%
4.1%
7
Scientific Reports
3102 papers in training set
Top 37%
3.6%
8
eLife
5422 papers in training set
Top 38%
1.9%
9
Cell Reports Methods
141 papers in training set
Top 2%
1.9%
10
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 4%
1.8%
11
Cytometry Part A
30 papers in training set
Top 0.2%
1.8%
12
Disease Models & Mechanisms
119 papers in training set
Top 1%
1.7%
13
Open Biology
95 papers in training set
Top 0.6%
1.7%
14
STAR Protocols
15 papers in training set
Top 0.1%
1.7%
15
BMC Bioinformatics
383 papers in training set
Top 5%
1.5%
16
iScience
1063 papers in training set
Top 20%
1.3%
17
PLOS Biology
408 papers in training set
Top 12%
1.3%
18
Life Science Alliance
263 papers in training set
Top 1%
0.8%
19
PLOS Computational Biology
1633 papers in training set
Top 23%
0.8%
20
BMC Biology
248 papers in training set
Top 4%
0.7%
21
G3 Genes|Genomes|Genetics
351 papers in training set
Top 3%
0.7%
22
Genetics
225 papers in training set
Top 4%
0.7%
23
Plant Direct
81 papers in training set
Top 2%
0.7%
24
Frontiers in Physiology
93 papers in training set
Top 6%
0.7%
25
Frontiers in Cellular Neuroscience
79 papers in training set
Top 2%
0.6%
26
Journal of Cell Biology
333 papers in training set
Top 5%
0.6%