a.k.a. mGL
Oligomerization | Organism | Molecular Weight | Cofactor |
---|---|---|---|
Monomer | Aequorea victoria | 26.8 kDa | - |
Ex λ | Em λ | EC (M-1 cm-1) | QY | Brightness | pKa | Maturation (min) | Lifetime (ns) |
---|---|---|---|---|---|---|---|
503 | 514 | 101,800 | 0.72 | 73.3 | 5.6 | 13.5 |
t1/2 (s) | Power | Light | Mode | In Cell | Fusion | ˚C | Reference |
---|---|---|---|---|---|---|---|
30.8 | 77.0 (µW) | Laser | Point Scanning Confocal | HeLa | Campbell et al. (2020) |
mGreenLantern was derived from Clover with the following mutations: F64L/S72A/E124V/N149K/I167T/S175G/A206K/L221K/F223R/G232D
amino acid numbers relative to avGFP. show relative to Clover
mGreenLantern was 190% brighter than mNeonGreen, 260% brighter than Clover, and 620% brighter than EGFP when expressed in HeLa cells and showed faster and complete maturation. The brightness of mGreenLantern was superior regardless of mammalian cell line chosen, the specific organism or induction system, or the imaging and analysis method used... HEK293T human embryonic kidney cells, BE(2)-M17 human neuroblastoma cells, and E. coli all produced at least three times more mGreenLantern soluble protein than EGFP, mClover3, or mNeonGreen.
Campbell et al. (2020)
To directly compare mGreenLantern to mScarlet, adult mice received lumbar (L1-L2) injection of mixed AAV2-retro-H2B-mGreenLantern and -mScarlet, followed 2 weeks later by brain clearing, 3D imaging, and nuclei detection using Imaris software. Quantification of labeled objects revealed that H2B-mGreenLantern significantly increased detection of neurons in cortex, dorsal pons, and reticular formation (p<0.01, two-way ANOVA with post-hoc Sidak’s) (Figure 1—figure supplement 2L–O). Moreover, signal was readily detectable without the need for antibody amplification, thus avoiding lengthy incubation periods. Combined, these data establish an initial categorization and quantification of supraspinal brain regions in 3D space, reveal H2B-mGL to be the most sensitive of the FPs tested, and create consistent experimental parameters for the detection of supraspinal neurons.
Wang et al. (2022)
(2020). Proceedings of the National Academy of Sciences, , 202000942. doi: 10.1073/pnas.2000942117. Article
(2022). Nature Methods, , . doi: 10.1038/s41592-022-01660-7. Article Pubmed
(2022). eLife, 11, . doi: 10.7554/elife.76254. Article
(2021). , , . doi: 10.1101/2021.06.10.447885. Article
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