2021
DOI: 10.1021/acschembio.0c00925
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Versatile Labeling and Detection of Endogenous Proteins Using Tag-Assisted Split Enzyme Complementation

Abstract: Recent advances in genome engineering have expanded our capabilities to study proteins in their natural states. In particular, the ease and scalability of knocking-in small peptide tags has enabled high throughput tagging and analysis of endogenous proteins. To improve enrichment capacities and expand the functionality of knock-ins using short tags, we developed the tagassisted split enzyme complementation (TASEC) approach, which uses two orthogonal small peptide tags and their cognate binders to conditionally… Show more

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Cited by 14 publications
(15 citation statements)
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References 49 publications
(104 reference statements)
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“…Fluorescence cross-correlation spectroscopy (FCCS) can detect bulk molecular interactions, yet it does not provide spatial trajectories for individual molecules, which are useful for measuring such properties as chromatin residence time and anomalous diffusion ( Hansen et al, 2020 ; Hansen et al, 2017 ; Izeddin et al, 2014 ; McSwiggen et al, 2019 ; Nguyen et al, 2021 ). Bimolecular fluorescence complementation (BiFC) detects molecular interactions based on the reconstitution of a fluorescent protein or HaloTag from two split halves fused to interacting partners ( Ghosh et al, 2000 ; Hu et al, 2002 ; Kerppola, 2008 ; Makhija et al, 2021 ; Shao et al, 2021 ). While BiFC can be combined with single-molecule imaging ( Mao et al, 2021 ; Nickerson et al, 2014 ; Shao et al, 2021 ), a drawback of this approach is that the extremely strong association of split proteins perturbs the binding equilibrium of their interacting partners ( Kerppola, 2008 ; Kodama and Hu, 2012 ; Nickerson et al, 2014 ), making it impossible to accurately measure dynamic interactions.…”
Section: Introductionmentioning
confidence: 99%
“…Fluorescence cross-correlation spectroscopy (FCCS) can detect bulk molecular interactions, yet it does not provide spatial trajectories for individual molecules, which are useful for measuring such properties as chromatin residence time and anomalous diffusion ( Hansen et al, 2020 ; Hansen et al, 2017 ; Izeddin et al, 2014 ; McSwiggen et al, 2019 ; Nguyen et al, 2021 ). Bimolecular fluorescence complementation (BiFC) detects molecular interactions based on the reconstitution of a fluorescent protein or HaloTag from two split halves fused to interacting partners ( Ghosh et al, 2000 ; Hu et al, 2002 ; Kerppola, 2008 ; Makhija et al, 2021 ; Shao et al, 2021 ). While BiFC can be combined with single-molecule imaging ( Mao et al, 2021 ; Nickerson et al, 2014 ; Shao et al, 2021 ), a drawback of this approach is that the extremely strong association of split proteins perturbs the binding equilibrium of their interacting partners ( Kerppola, 2008 ; Kodama and Hu, 2012 ; Nickerson et al, 2014 ), making it impossible to accurately measure dynamic interactions.…”
Section: Introductionmentioning
confidence: 99%
“…To visualize Csf1 and Hob2, we initially tagged them endogenously with GFP on their C-termini, but the signal was low (not shown). Instead of using a single GFP, we endogenously tagged the proteins with seven copies of GFP11, a fragment of GFP that will self-assemble with the remainder of the protein, GFP1ā€“10 ( Makhija et al, 2021 ). The tagged proteins are functional ( Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Most endogenous proteins exist at much lower concentrations in cells relative to overexpressed proteins, which can make both fluorescence selection and structural analysis of these relatively rare targets challenging. For selection, it has been estimated that āˆ¼50% of the human proteome is expressed above the FACS detection limit using mNG2[11] tagging (14), and signal amplification using our recent tag-assisted split enzyme complementation method ( 29 ) could further expand the accessible range. For purification, the recent development of affinity grids offers another potential solution to the study of low-abundance targets ( 30 , 31 ).…”
Section: Discussionmentioning
confidence: 99%