Back

CELeidoscope: quad-fluorescent Caenorhabditis elegans strain for tissue-specific spectral single-cell analyses

Henthorn, C. R.; Betancourt, N.; Stenerson, Z.; Vaccaro, K.; Zamanian, M.

2026-03-26 microbiology
10.64898/2026.03.25.714250 bioRxiv
Show abstract

Cell and tissue-specific transcriptomic profiling of Caenorhabditis elegans is commonly achieved by fluorescence tagging or staining of targeted cell populations, often followed by fluorescence-activated cell sorting (FACS) and RNA sequencing. However, these approaches typically require separate strains for each labeled population, increasing labor and experimental variability while limiting direct comparison of multiple tissues within the same genetic background. To address this limitation and establish proof of concept, we engineered CELeidoscope, a multicolored C. elegans strain that enables spectral sorting of multiple major cell types within a single strain population. Strain construction was carried out using a high-throughput screening method that reduces the labor and plastic costs associated with transgene integration and outcrossing. Four primary tissues (body muscle, neurons, intestinal, and pharyngeal muscle cells) were tagged with spectrally distinct fluorescent proteins, allowing compatibility with viability and nucleic acid dyes. Using spectral flow cytometry, dissociated CELeidoscope cell suspensions could be sorted based on their spectral profiles, with cell recovery rates approximating the expected cell counts in whole organisms. Transcriptomic analysis of the sorted cell populations further validated the identity of the sorted populations, with recovered cells exhibiting gene expression signatures consistent with their intended cell and tissue identities. Together, these results establish CELeidoscope as a versatile tool for multiplexed cell-type isolation in C. elegans, providing a framework for tissue-specific analyses from a common strain background.

Matching journals

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

1
PLOS ONE
4510 papers in training set
Top 19%
10.1%
2
Scientific Reports
3102 papers in training set
Top 10%
8.4%
3
Nucleic Acids Research
1128 papers in training set
Top 2%
8.2%
4
ACS Synthetic Biology
256 papers in training set
Top 0.7%
6.3%
5
Disease Models & Mechanisms
119 papers in training set
Top 0.2%
6.3%
6
Nature Communications
4913 papers in training set
Top 33%
4.8%
7
eLife
5422 papers in training set
Top 17%
4.8%
8
Molecular Biology of the Cell
272 papers in training set
Top 0.6%
4.0%
50% of probability mass above
9
PLOS Biology
408 papers in training set
Top 6%
2.4%
10
Communications Biology
886 papers in training set
Top 5%
2.1%
11
Journal of Visualized Experiments
30 papers in training set
Top 0.2%
1.9%
12
Genetics
225 papers in training set
Top 2%
1.7%
13
PLOS Genetics
756 papers in training set
Top 9%
1.7%
14
Development
440 papers in training set
Top 2%
1.5%
15
iScience
1063 papers in training set
Top 20%
1.3%
16
BMC Biology
248 papers in training set
Top 2%
1.2%
17
G3 Genes|Genomes|Genetics
351 papers in training set
Top 2%
1.1%
18
mSphere
281 papers in training set
Top 5%
0.9%
19
Biomedical Optics Express
84 papers in training set
Top 0.9%
0.9%
20
PNAS Nexus
147 papers in training set
Top 2%
0.7%
21
Cell Reports Methods
141 papers in training set
Top 5%
0.7%
22
Journal of Biological Chemistry
641 papers in training set
Top 4%
0.7%
23
Genome Biology
555 papers in training set
Top 8%
0.7%
24
Cell
370 papers in training set
Top 18%
0.7%
25
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 6%
0.7%
26
Genome Medicine
154 papers in training set
Top 9%
0.6%
27
Cell Reports
1338 papers in training set
Top 35%
0.6%
28
Nature Methods
336 papers in training set
Top 7%
0.6%
29
Journal of Neuroscience Methods
106 papers in training set
Top 2%
0.6%
30
Journal of Cell Biology
333 papers in training set
Top 5%
0.6%