scholarly journals Proximity Dependent Biotinylation: Key Enzymes and Adaptation to Proteomics Approaches

2020 ◽  
Vol 19 (5) ◽  
pp. 757-773 ◽  
Author(s):  
Payman Samavarchi-Tehrani ◽  
Reuben Samson ◽  
Anne-Claude Gingras

The study of protein subcellular distribution, their assembly into complexes and the set of proteins with which they interact with is essential to our understanding of fundamental biological processes. Complementary to traditional assays, proximity-dependent biotinylation (PDB) approaches coupled with mass spectrometry (such as BioID or APEX) have emerged as powerful techniques to study proximal protein interactions and the subcellular proteome in the context of living cells and organisms. Since their introduction in 2012, PDB approaches have been used in an increasing number of studies and the enzymes themselves have been subjected to intensive optimization. How these enzymes have been optimized and considerations for their use in proteomics experiments are important questions. Here, we review the structural diversity and mechanisms of the two main classes of PDB enzymes: the biotin protein ligases (BioID) and the peroxidases (APEX). We describe the engineering of these enzymes for PDB and review emerging applications, including the development of PDB for coincidence detection (split-PDB). Lastly, we briefly review enzyme selection and experimental design guidelines and reflect on the labeling chemistries and their implication for data interpretation.

The Analyst ◽  
2020 ◽  
Vol 145 (5) ◽  
pp. 1646-1656
Author(s):  
Jin Li ◽  
Yajun Zheng ◽  
Jia Zhao ◽  
Daniel E. Austin ◽  
Zhiping Zhang

Metal ions play significant roles in biological processes, and investigation of metal–protein interactions provides a basis to understand the functions of metal ions in such systems.


2019 ◽  
Vol 167 (3) ◽  
pp. 225-231 ◽  
Author(s):  
Takumi Koshiba ◽  
Hidetaka Kosako

Abstract Protein–protein interactions are essential biologic processes that occur at inter- and intracellular levels. To gain insight into the various complex cellular functions of these interactions, it is necessary to assess them under physiologic conditions. Recent advances in various proteomic technologies allow to investigate protein–protein interaction networks in living cells. The combination of proximity-dependent labelling and chemical cross-linking will greatly enhance our understanding of multi-protein complexes that are difficult to prepare, such as organelle-bound membrane proteins. In this review, we describe our current understanding of mass spectrometry-based proteomics mapping methods for elucidating organelle-bound membrane protein complexes in living cells, with a focus on protein–protein interactions in mitochondrial subcellular compartments.


2008 ◽  
Vol 8 (3) ◽  
pp. 409-420 ◽  
Author(s):  
Haizhen Zhang ◽  
Xiaoting Tang ◽  
Gerhard R. Munske ◽  
Nikola Tolic ◽  
Gordon A. Anderson ◽  
...  

2020 ◽  
Author(s):  
Katerina Djambazova ◽  
Dustin R. Klein ◽  
Lukasz Migas ◽  
Elizabeth Neumann ◽  
Emilio Rivera ◽  
...  

<p>Lipids are a structurally diverse class of molecules with important biological functions including cellular signaling and energy storage. Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) allows for direct map-ping of biomolecules in tissue. Fully characterizing the structural diversity of lipids remains a challenge due to the presence of isobaric and isomeric species, which greatly complicates data interpretation when only <i>m/z </i>information is available. Integrating ion mobility separations aids in deconvoluting these complex mixtures and addressing the challenges of lipid IMS. Here we demonstrate that a MALDI quadrupole time-of-flight (Q-TOF) mass spectrometer with trapped ion mobility spectrometry (TIMS) enables approximately a ~270% increase in the peak capacity during IMS experiments. MALDI TIMS-MS separation of lipid isomer standards, including sn-backbone isomers, acyl chain isomers, as well as double bond positional and geometric isomers are demonstrated. As a proof-of-concept, <i>in situ </i>separation and imaging of lipid isomers with distinct spatial distributions was performed using tissue sections from a whole-body mouse pup.</p>


Author(s):  
Maxwell DeNies ◽  
Allen Liu ◽  
Santiago Schnell

As technological and analytical innovations rapidly advance our ability to reveal increasingly complex biological processes, the importance of understanding the assumptions behind biological measurements and sources of uncertainty are essential for data interpretation. This is particularly important in fields such as cell signaling, as due to its importance for both homeostatic and pathogenic biological processes, a quantitative understanding of the basic mechanisms of these transient events is fundamental to drug development. While developed decades ago, western blotting remains an indispensible research tool to probe cell signaling, protein expression, and protein-protein interactions. While improvements in statistical and methodology reporting have improved data quality, understanding the basic experimental assumptions and visual inspection of western blots provides additional information that is useful when evaluating experimental conclusions. Using agonist-induced receptor post-translational modification as an example we highlight the assumptions of western blotting and showcase how clues from raw western blots can hint at experimental variability that is not captured by statistics and methods that influences quantification. The purpose of this article is not to serve as a detailed review of the technical nuances and caveats of western blotting. Instead using an example we illustrate how experimental assumptions, design, and data normalization can be identified in raw data and influence data interpretation.


2020 ◽  
Vol 48 (9) ◽  
pp. e52-e52 ◽  
Author(s):  
Ziheng Zhang ◽  
Weiping Sun ◽  
Tiezhu Shi ◽  
Pengfei Lu ◽  
Min Zhuang ◽  
...  

Abstract No RNA is completely naked from birth to death. RNAs function with and are regulated by a range of proteins that bind to them. Therefore, the development of innovative methods for studying RNA–protein interactions is very important. Here, we developed a new tool, the CRISPR-based RNA-United Interacting System (CRUIS), which captures RNA–protein interactions in living cells by combining the power of CRISPR and PUP-IT, a novel proximity targeting system. In CRUIS, dCas13a is used as a tracker to target specific RNAs, while proximity enzyme PafA is fused to dCas13a to label the surrounding RNA-binding proteins, which are then identified by mass spectrometry. To identify the efficiency of CRUIS, we employed NORAD (Noncoding RNA activated by DNA damage) as a target, and the results show that a similar interactome profile of NORAD can be obtained as by using CLIP (crosslinking and immunoprecipitation)-based methods. Importantly, several novel NORAD RNA-binding proteins were also identified by CRUIS. The use of CRUIS facilitates the study of RNA–protein interactions in their natural environment, and provides new insights into RNA biology.


Author(s):  
Sukesh R. Bhaumik

Genes are expressed to proteins for a wide variety of fundamental biological processes at the cellular and organismal levels. However, a protein rarely functions alone, but rather acts through interactions with other proteins to maintain normal cellular and organismal functions. Therefore, it is important to analyze the protein–protein interactions to determine functional mechanisms of proteins, which can also guide to develop therapeutic targets for treatment of diseases caused by altered protein–protein interactions leading to cellular/organismal dysfunctions. There is a large number of methodologies to study protein interactions in vitro, in vivo and in silico, which led to the development of many protein interaction databases, and thus, have enriched our knowledge about protein–protein interactions and functions. However, many of these interactions were identified in vitro, but need to be verified/validated in living cells. Furthermore, it is unclear whether these interactions are direct or mediated via other proteins. Moreover, these interactions are representative of cell- and time-average, but not a single cell in real time. Therefore, it is crucial to detect direct protein–protein interactions in a single cell during biological processes in vivo, towards understanding the functional mechanisms of proteins in living cells. Importantly, a fluorescence resonance energy transfer (FRET)-based methodology has emerged as a powerful technique to decipher direct protein–protein interactions at a single cell resolution in living cells, which is briefly described in a limited available space in this mini-review.


2014 ◽  
Vol 13 (12) ◽  
pp. 3533-3543 ◽  
Author(s):  
Robyn M. Kaake ◽  
Xiaorong Wang ◽  
Anthony Burke ◽  
Clinton Yu ◽  
Wynne Kandur ◽  
...  

2020 ◽  
Author(s):  
Katerina Djambazova ◽  
Dustin R. Klein ◽  
Lukasz Migas ◽  
Elizabeth Neumann ◽  
Emilio Rivera ◽  
...  

<p>Lipids are a structurally diverse class of molecules with important biological functions including cellular signaling and energy storage. Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) allows for direct map-ping of biomolecules in tissue. Fully characterizing the structural diversity of lipids remains a challenge due to the presence of isobaric and isomeric species, which greatly complicates data interpretation when only <i>m/z </i>information is available. Integrating ion mobility separations aids in deconvoluting these complex mixtures and addressing the challenges of lipid IMS. Here we demonstrate that a MALDI quadrupole time-of-flight (Q-TOF) mass spectrometer with trapped ion mobility spectrometry (TIMS) enables approximately a ~270% increase in the peak capacity during IMS experiments. MALDI TIMS-MS separation of lipid isomer standards, including sn-backbone isomers, acyl chain isomers, as well as double bond positional and geometric isomers are demonstrated. As a proof-of-concept, <i>in situ </i>separation and imaging of lipid isomers with distinct spatial distributions was performed using tissue sections from a whole-body mouse pup.</p>


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