Tethering-based chemogenetic approaches for the modulation of protein function in live cells

2021 ◽  
Author(s):  
Yu-Hsuan Tsai ◽  
Tomohiro Doura ◽  
Shigeki Kiyonaka
Keyword(s):  
Protein Function ◽  
Target Protein ◽  
Live Cells ◽  
Rapid Modulation

Approaches for selective and rapid modulation are ideal for investigating the physiological roles of proteins. This review focuses on chemogenetic approaches in which designer molecules are attached to the target protein for the modulation of proteins in live cells.

scholarly journals Annotating proteins with generalized functional linkages

2008 ◽  
Vol 105 (46) ◽  
pp. 17700-17705 ◽  
Author(s):  
Richard Llewellyn ◽  
David S. Eisenberg
Keyword(s):  
Protein Function ◽  
Biological Process ◽  
Computational Method ◽  
Majority Voting ◽  
Target Protein ◽  
Biological Processes ◽  
Gene Products ◽  
Protein Protein Interaction ◽  
Protein Protein Interaction Networks

As genome sequencing outstrips the rate of high-quality, low-throughput biochemical and genetic experimentation, accurate annotation of protein function becomes a bottleneck in the progress of the biomolecular sciences. Most gene products are now annotated by homology, in which an experimentally determined function is applied to a similar sequence. This procedure becomes error-prone between more divergent sequences and can contaminate biomolecular databases. Here, we propose a computational method of assignment of function, termed Generalized Functional Linkages (GFL), that combines nonhomology-based methods with other types of data. Functional linkages describe pairwise relationships between proteins that work together to perform a biological task. GFL provides a Bayesian framework that improves annotation by arbitrating a competition among biological process annotations to best describe the target protein. GFL addresses the unequal strengths of functional linkages among proteins, the quality of existing annotations, and the similarity among them while incorporating available knowledge about the cellular location or individual molecular function of the target protein. We demonstrate GFL with functional linkages defined by an algorithm known as zorch that quantifies connectivity in protein–protein interaction networks. Even when using proteins linked only by indirect or high-throughput interactions, GFL predicts the biological processes of many proteins in Saccharomyces cerevisiae, improving the accuracy of annotation by 20% over majority voting.

scholarly journals Interaction between Acetylated MyoD and the Bromodomain of CBP and/or p300

2001 ◽  
Vol 21 (16) ◽  
pp. 5312-5320 ◽  
Author(s):  
Anna Polesskaya ◽  
Irina Naguibneva ◽  
Arnaud Duquet ◽  
Eyal Bengal ◽  
Philippe Robin ◽  
...  
Keyword(s):  
Transcriptional Activation ◽  
Protein Function ◽  
Live Cells ◽  
Regulation Of Transcription ◽  
Muscle Creatine Kinase ◽  
Nonhistone Protein ◽  
Myogenic Factor ◽  
First Time

ABSTRACT Acetylation is emerging as a posttranslational modification of nuclear proteins that is essential to the regulation of transcription and that modifies transcription factor affinity for binding sites on DNA, stability, and/or nuclear localization. Here, we present both in vitro and in vivo evidence that acetylation increases the affinity of myogenic factor MyoD for acetyltransferases CBP and p300. In myogenic cells, the fraction of endogenous MyoD that is acetylated was found associated with CBP or p300. In vitro, the interaction between MyoD and CBP was more resistant to high salt concentrations and was detected with lower doses of MyoD when MyoD was acetylated. Interestingly, an analysis of CBP mutants revealed that the interaction with acetylated MyoD involves the bromodomain of CBP. In live cells, MyoD mutants that cannot be acetylated did not associate with CBP or p300 and were strongly impaired in their ability to cooperate with CBP for transcriptional activation of a muscle creatine kinase-luciferase construct. Taken together, our data suggest a new mechanism for activation of protein function by acetylation and demonstrate for the first time an acetylation-dependent interaction between the bromodomain of CBP and a nonhistone protein.

A cascading reaction sequence involving ligand-directed azaelectrocyclization and autooxidation-induced fluorescence recovery enables visualization of target proteins on the surfaces of live cells

2014 ◽  
Vol 12 (9) ◽  
pp. 1412-1418 ◽  
Author(s):  
Katsunori Tanaka ◽  
Masataka Kitadani ◽  
Ayumi Tsutsui ◽  
Ambara R. Pradipta ◽  
Rie Imamaki ◽  
...  
Keyword(s):  
Target Protein ◽  
Fluorescence Recovery ◽  
Live Cells ◽  
Reaction Sequence ◽  
Target Proteins

A general probe designed to induce a cascading sequence of reactions on a target protein was efficiently synthesized.

scholarly journals Comparative assessment of fluorescent transgene methods for quantitative imaging in human cells

2014 ◽  
Vol 25 (22) ◽  
pp. 3610-3618 ◽  
Author(s):  
Robert Mahen ◽  
Birgit Koch ◽  
Malte Wachsmuth ◽  
Antonio Z. Politi ◽  
Alexis Perez-Gonzalez ◽  
...  
Keyword(s):  
Single Molecule ◽  
Protein Function ◽  
Mammalian Cells ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Quantitative Imaging ◽  
Live Cells ◽  
Single Molecule Spectroscopy ◽  
Mitotic Kinase ◽  
Endogenous Proteins

Fluorescence tagging of proteins is a widely used tool to study protein function and dynamics in live cells. However, the extent to which different mammalian transgene methods faithfully report on the properties of endogenous proteins has not been studied comparatively. Here we use quantitative live-cell imaging and single-molecule spectroscopy to analyze how different transgene systems affect imaging of the functional properties of the mitotic kinase Aurora B. We show that the transgene method fundamentally influences level and variability of expression and can severely compromise the ability to report on endogenous binding and localization parameters, providing a guide for quantitative imaging studies in mammalian cells.

Isolation of Peptide Aptamers to Target Protein Function

2009 ◽  
pp. 333-360 ◽  
Author(s):  
Luisa Lopez-Ochoa ◽  
Tara E. Nash ◽  
Jorge Ramirez-Prado ◽  
Linda Hanley-Bowdoin
Keyword(s):  
Protein Function ◽  
Target Protein ◽  
Peptide Aptamers

scholarly journals A new method for post-translationally labeling proteins in live cells for fluorescence imaging and tracking

2017 ◽  
Vol 30 (12) ◽  
pp. 771-780 ◽  
Author(s):  
M Hinrichsen ◽  
M Lenz ◽  
J M Edwards ◽  
O K Miller ◽  
S G J Mochrie ◽  
...  
Keyword(s):  
Fluorescent Protein ◽  
Single Cells ◽  
Covalent Bond ◽  
Subcellular Location ◽  
Turnover Time ◽  
Target Protein ◽  
Live Cells ◽  
General Applicability ◽  
Novel Approach ◽  
And Function

AbstractWe present a novel method to fluorescently label proteins, post-translationally, within live Saccharomycescerevisiae. The premise underlying this work is that fluorescent protein (FP) tags are less disruptive to normal processing and function when they are attached post-translationally, because target proteins are allowed to fold properly and reach their final subcellular location before being labeled. We accomplish this post-translational labeling by expressing the target protein fused to a short peptide tag (SpyTag), which is then covalently labeled in situ by controlled expression of an open isopeptide domain (SpyoIPD, a more stable derivative of the SpyCatcher protein) fused to an FP. The formation of a covalent bond between SpyTag and SpyoIPD attaches the FP to the target protein. We demonstrate the general applicability of this strategy by labeling several yeast proteins. Importantly, we show that labeling the membrane protein Pma1 in this manner avoids the mislocalization and growth impairment that occur when Pma1 is genetically fused to an FP. We also demonstrate that this strategy enables a novel approach to spatiotemporal tracking in single cells and we develop a Bayesian analysis to determine the protein’s turnover time from such data.

A Bioorthogonal Small-Molecule-Switch System for Controlling Protein Function in Live Cells

2014 ◽  
Vol 53 (38) ◽  
pp. 10049-10055 ◽  
Author(s):  
Peng Liu ◽  
Abram Calderon ◽  
Georgios Konstantinidis ◽  
Jian Hou ◽  
Stephanie Voss ◽  
...  
Keyword(s):  
Small Molecule ◽  
Protein Function ◽  
Live Cells ◽  
Switch System

scholarly journals Targeted-Protein Silencing Tools: Overview and Future Perspectives

2020 ◽  
Author(s):  
Yuri Prozzillo ◽  
Gaia Fattorini ◽  
Maria Virginia Santopietro ◽  
Luigi Suglia ◽  
Alessandra Ruggiero ◽  
...  
Keyword(s):  
Rna Interference ◽  
Protein Degradation ◽  
Protein Function ◽  
Target Protein ◽  
Future Perspectives ◽  
Target Effects

Targeted Protein Silencing (TPS) is an elegant approach to investigate protein function and its role in the cellular landscape, overcoming limitations of genetic perturbation strategies. In contrast to CRISPR/Cas9 and RNA interference, these systems act in a reversible manner and reduce off-target effects. Several TPS have been developed and wisely improved, including compartment delocalization tools and protein degradation systems. In this review, we focus on Anchor-Away, deGradFP, auxin inducible degron (AID) and dTAG technologies, and discuss their recent applications and advances. Finally, we propose Nano-Grad, a novel nanobody-based protein degradation tool to specifically proteolyze endogenous tag-free target protein.

scholarly journals OpenCell: proteome-scale endogenous tagging enables the cartography of human cellular organization

2021 ◽  
Author(s):  
Nathan H. Cho ◽  
Keith C. Cheveralls ◽  
Andreas-David Brunner ◽  
Kibeom Kim ◽  
Andre C. Michaelis ◽  
...  
Keyword(s):  
Protein Function ◽  
Data Science ◽  
Genome Engineering ◽  
Protein Localization ◽  
Imaging Mass Spectrometry ◽  
Confocal Imaging ◽  
Live Cells ◽  
Cellular Organization ◽  
Affinity Capture ◽  
Endogenous Expression

Elucidating the wiring diagram of the human cell is one of the central goals of the post-genomic era. Here, we integrate genome engineering, confocal imaging, mass spectrometry and data science to systematically map protein localization in live cells and protein interactions under endogenous expression conditions. For this, we generated a library of 1,311 CRISPR-edited cell lines harboring fluorescent tags that also serve as handles for affinity capture, and applied a new machine learning framework to encode the interaction and localization profiles of each protein. Our approach provides a data-driven description of the molecular and spatial networks that organize the human proteome. We show that unsupervised clustering of these networks delineates functional groups and facilitates biological discovery, while hierarchical analyses uncover the core features that template cellular architecture. Furthermore, we discover that localization signatures are remarkably predictive of protein function, and often contain enough information to identify molecular interactions. Paired with a fully interactive website (opencell.czbiohub.org), OpenCell is a resource for the quantitative cartography of human cellular organization.

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