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Fluorescent Protein Research

mNeonGreen: The Brightest Monomeric Yellow-Green Fluorescent Protein

Explore the extreme brightness and photostability of mNeonGreen, compare its performance to EGFP and mClover3, and discover the split-mNG2 system for CRISPR-based endogenous protein tagging.

1. What Is mNeonGreen?

Unlike traditional green fluorescent proteins derived from Aequorea victoria jellyfish, mNeonGreen is an engineered monomeric yellow-green fluorescent protein derived from a tetrameric protein found in the lancelet (cephalochordate) Branchiostoma lanceolatum.

First characterized in 2013 by Shaner et al., it was explicitly developed to push the limits of fluorescence intensity and photostability. Boasting a quantum yield of 0.80 and an exceptionally high extinction coefficient (116,000 M⁻¹cm⁻¹), mNeonGreen is widely recognized as the brightest monomeric green or yellow fluorescent protein currently available.

Key point: mNeonGreen is exceptionally bright and photostable, making it a premier choice for demanding applications like stochastic single-molecule localization microscopy (SMLM) and low-abundance endogenous protein tracking.

mNeonGreen at a Glance

Property

mNeonGreen

Origin species

Branchiostoma lanceolatum (Lancelet)

Excitation Max

506 nm

Emission Max

517 nm

Extinction Coefficient

116,000 M⁻¹cm⁻¹

Quantum Yield

0.80

pKa

5.7 (Excellent acid tolerance)

Maturation Time

Exceptionally fast (~3-fold faster than mEGFP)

2. mNeonGreen vs EGFP and Clover

While EGFP remains a highly utilized general-purpose reporter, it often falls short in modern, photon-hungry super-resolution techniques. mClover3 offers improved brightness over EGFP but can suffer from faster photobleaching. mNeonGreen bridges these gaps by offering unparalleled brightness without sacrificing stability.

Feature

mNeonGreen

EGFP

mClover3

In Vivo Brightness

~3- to 5-fold brighter than EGFP

Baseline reference

Similar to mNeonGreen

Photostability

Superior (~3-fold higher than Clover)

High

Low/Moderate

Monomeric Character

Strict monomer (ideal for fusions)

Weak dimer at high concentrations

Strict monomer

Acid Tolerance

High (pKa 5.7)

Moderate (pKa ~6.0)

Low (pKa 6.2)

Selection guidance: Switch from EGFP to mNeonGreen when imaging low-abundance proteins or utilizing single-molecule super-resolution microscopy. Switch from Clover to mNeonGreen if your construct suffers from rapid photobleaching under sustained laser illumination.

3. Key Research Applications

Super-Resolution Imaging

With an exceptional photon yield (~660 photons per localized molecule), mNeonGreen outperforms EGFP and Clover in stochastic super-resolution techniques like PALM and STORM.

FRET Probe Design

Because its excitation peak fits perfectly with cyan fluorescent proteins (like CFP or mTurquoise2), mNeonGreen acts as a stellar FRET acceptor, enabling highly sensitive biosensors.

In Vivo Multicellular Imaging

In organisms like C. elegans and mice, mNeonGreen reveals low-expression tissues that remain undetectable with standard EGFP reporters, facilitating deeper in vivo developmental studies.

4. Split mNeonGreen2 (mNG2): Engineered for Endogenous Tagging

The self-complementing split-mNeonGreen2 (mNG2) system was developed to improve the tagging of endogenous proteins via CRISPR/Cas9. The protein is split into a large fragment (mNG2 1-10) and a short 16-amino-acid tag (mNG2 11).

mNG2 1-10 Non-fluorescent scaffold (expressed in trans)
+
mNG2 11 Tag 16 a.a. peptide (fused to endogenous target)
Complemented mNG2 Bright, self-assembled fluorescent complex

Why mNG2 outperforms standard Split-GFP: While standard split-GFP systems can exhibit high background fluorescence when the 1-10 fragment is expressed alone, mNG2 1-10 is uniquely engineered to have virtually zero background fluorescence prior to complementation. This allows researchers to overexpress mNG2 1-10 safely in cell lines, using small, highly efficient single-stranded DNA (ssDNA) donors to knock-in the tiny mNG2 11 tag onto their target gene.

6. Detecting and Validating mNeonGreen Constructs

Direct Fluorescence

mNeonGreen is routinely imaged using standard GFP or FITC filter sets. However, for maximum photon efficiency, utilize excitation near 506 nm and emission capture near 517 nm to take full advantage of its unique spectral profile.

Antibody Detection

When fluorescence cannot be preserved (e.g., in strict Western Blots or harsh IHC protocols), utilize Biorbyt's targeted orb1291572 (Rabbit) or orb2837255 (Mouse) antibodies to confirm correct molecular weight, expression, and fusion integrity.

7. Frequently Asked Questions

Is mNeonGreen a derivative of Aequorea victoria (jellyfish) GFP?

No. mNeonGreen is derived from a tetrameric yellow fluorescent protein found in the lancelet (Branchiostoma lanceolatum). Because of this, it shares only ~20% sequence homology with standard GFP.

Do I need special microscope filters to image mNeonGreen?

While optimized narrow-band filters centered around 506ex/517em will yield the absolute best signal-to-noise ratio, standard GFP or FITC filter cubes will successfully image mNeonGreen in most routine microscopy setups.

Can I use my standard anti-GFP antibody to detect mNeonGreen on a Western Blot?

Generally, no. Due to the lack of sequence identity, most pan-GFP antibodies will not bind mNeonGreen. You must use an antibody specifically raised against mNeonGreen, such as orb1291572 or orb2837255.

8. Scientific References

  1. Shaner NC, et al. A bright monomeric green fluorescent protein derived from Branchiostoma lanceolatum. Nature Methods. 2013;10(5):407-409. doi:10.1038/nmeth.2413
  2. Feng S, et al. Improved Split Fluorescent Proteins for Endogenous Protein Labeling. Nature Communications. 2017;8:370. doi:10.1038/s41467-017-00494-8
  3. Hostettler L, et al. The Bright Fluorescent Protein mNeonGreen Facilitates Protein Expression Analysis In Vivo. G3 (Bethesda). 2017;7(2):607-615. doi:10.1534/g3.116.038133
  4. Tanida-Miyake E, et al. Optimization of mNeonGreen for Homo sapiens increases its fluorescent intensity in mammalian cells. PLOS One. 2018;13(1):e0191108. doi:10.1371/journal.pone.0191108