Thermal proteome profiling for interrogating protein interactions

Proline hydroxylation (Hyp) regulates protein structure, stability and protein-protein interaction and is widely involved in diverse metabolic and physiological pathways in cells and diseases. To reveal functional features of the proline hydroxylation proteome, we integrated various data sources for deep proteome profiling of proline hydroxylation proteome in human and developed HypDB (https://www.HypDB.site), an annotated database and web server for proline hydroxylation proteome. HypDB provides site-specific evidence of modification based on extensive LC-MS analysis and literature mining with 15319 non-redundant Hyp sites and 8226 sites with high confidence on human proteins. Annotation analysis revealed significant enrichment of proline hydroxylation on key functional domains and tissue-specific distribution of Hyp abundance across 26 types of human organs and fluids and 6 cell lines. The network connectivity analysis further revealed a critical role of proline hydroxylation in mediating protein-protein interactions. Moreover, the spectral library generated by HypDB enabled data-independent analysis (DIA) of clinical tissues and the identification of novel Hyp biomarkers in lung cancer and kidney cancer. Taken together, our integrated analysis of human proteome with publicly accessible HypDB revealed functional diversity of Hyp substrates and provides a quantitative data source to characterize proline hydroxylation in pathways and diseases.

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A New Drug Discovery Approach Based on Thermal Proteome Profiling to Develop More Effective Drugs

Middle East Journal of Rehabilitation and Health ◽

10.5812/mejrh.113533 ◽

2021 ◽

Vol 8 (2) ◽

Author(s):

Elham Gholizadeh ◽

Mostafa Rezaei-Tavirani ◽

Alireza Emadi ◽

Reza Karbalaei ◽

Ali Khaleghian

Keyword(s):

Mass Spectrometry ◽

Protein Interactions ◽

Large Scale ◽

Protein Extraction ◽

Mass Spectrometry Analysis ◽

Structural Stabilization ◽

Proteome Profiling ◽

Spectrometry Analysis ◽

Drug Concentrations ◽

Low Efficiency

: The search for disease-related targets and studying drug-protein and protein-protein interactions are central issues that would accelerate the clinical approval of a drug. Also, by developing an accurate method in this regard, time and resource consumption will significantly decrease. The low efficiency of some drugs in humans is a grave issue leading to a low rate of FDA approval after spending billions of dollars and decades of research. Several strategies and methods have been expanded to fill this gap, such as drug affinity responsive target stability (DARTS), stability of proteins from rates of oxidation (SPROX), cellular thermal shift assay (CETSA), and finally, thermal proteome profiling (TPP). The TPP is based on the combination of CETSA and quantitative mass spectrometry. Among recently introduced proteomics technologies, TPP demonstrates the ability to offer detailed proteomic profiles for the large-scale analysis of protein-ligand interactions, including endogenous ligands and proteins like cofactors and metabolites. TPP facilitates the identification of the markers governing drug efficacy and toxicity and provides an unbiased measure for estimating the rate of drug-target engagement. At a glance at TPP steps, after protein extraction, the molecule is exposed to different temperatures and drug concentrations. After discarding solubilized and stabilized proteins, the protein’s identity is investigated by mass spectrometry analysis. As a result of the protein’s structural stabilization after binding to its substrate, TTP helps to accurately identify target proteins with high throughput. In this study, we aimed to introduce the basics of this method and review most recent studies on this technique.

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An RNA tagging approach for system-wide RNA-binding proteome profiling and dynamics investigation upon transcription inhibition

Nucleic Acids Research ◽

10.1093/nar/gkab156 ◽

2021 ◽

Author(s):

Zheng Zhang ◽

Tong Liu ◽

Hangyan Dong ◽

Jian Li ◽

Haofan Sun ◽

...

Keyword(s):

Protein Interactions ◽

Large Scale ◽

Rna Binding ◽

Rna Binding Proteins ◽

Decay Rates ◽

Mass Spectrometry Analysis ◽

Transcription Inhibition ◽

Distribution Profile ◽

Proteome Profiling ◽

Spectrometry Analysis

Abstract RNA-protein interactions play key roles in epigenetic, transcriptional and posttranscriptional regulation. To reveal the regulatory mechanisms of these interactions, global investigation of RNA-binding proteins (RBPs) and monitor their changes under various physiological conditions are needed. Herein, we developed a psoralen probe (PP)-based method for RNA tagging and ribonucleic-protein complex (RNP) enrichment. Isolation of both coding and noncoding RNAs and mapping of 2986 RBPs including 782 unknown candidate RBPs from HeLa cells was achieved by PP enrichment, RNA-sequencing and mass spectrometry analysis. The dynamics study of RNPs by PP enrichment after the inhibition of RNA synthesis provides the first large-scale distribution profile of RBPs bound to RNAs with different decay rates. Furthermore, the remarkably greater decreases in the abundance of the RBPs obtained by PP-enrichment than by global proteome profiling suggest that PP enrichment after transcription inhibition offers a valuable way for large-scale evaluation of the candidate RBPs.

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Rtpca: an R package for differential thermal proximity coaggregation analysis

Bioinformatics ◽

10.1093/bioinformatics/btaa682 ◽

2020 ◽

Cited By ~ 1

Author(s):

Nils Kurzawa ◽

André Mateus ◽

Mikhail M Savitski

Keyword(s):

Protein Interactions ◽

Predictive Performance ◽

R Package ◽

Supplementary Information ◽

Supplementary Data ◽

Protein Protein Interactions ◽

Proteome Profiling ◽

R Packages ◽

User Friendly

Abstract Summary Rtpca is an R package implementing methods for inferring protein–protein interactions (PPIs) based on thermal proteome profiling experiments of a single condition or in a differential setting via an approach called thermal proximity coaggregation. It offers user-friendly tools to explore datasets for their PPI predictive performance and easily integrates with available R packages. Availability and implementation Rtpca is available from Bioconductor (https://bioconductor.org/packages/Rtpca). Supplementary information Supplementary data are available at Bioinformatics online.

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Characterization of microtubules by dark-field STEM and replication

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010008506x ◽

1991 ◽

Vol 49 ◽

pp. 152-153

Author(s):

S.B. Andrews ◽

R.D. Leapman ◽

P.E. Gallant ◽

T.S. Reese

Keyword(s):

Protein Interactions ◽

Low Dose ◽

Unit Length ◽

Dark Field ◽

Carbon Films ◽

Microtubule Associated Proteins ◽

Molecular Weights ◽

Freeze Dried ◽

Protein Motors ◽

Associated Proteins

As part of a study on protein interactions involved in microtubule (MT)-based transport, we used the VG HB501 field-emission STEM to obtain low-dose dark-field mass maps of isolated, taxol-stabilized MTs and correlated these micrographs with detailed stereo images from replicas of the same MTs. This approach promises to be useful for determining how protein motors interact with MTs. MTs prepared from bovine and squid brain tubulin were purified and free from microtubule-associated proteins (MAPs). These MTs (0.1-1 mg/ml tubulin) were adsorbed to 3-nm evaporated carbon films supported over Formvar nets on 600-m copper grids. Following adsorption, the grids were washed twice in buffer and then in either distilled water or in isotonic or hypotonic ammonium acetate, blotted, and plunge-frozen in ethane/propane cryogen (ca. -185 C). After cryotransfer into the STEM, specimens were freeze-dried and recooled to ca.-160 C for low-dose (<3000 e/nm2) dark-field mapping. The molecular weights per unit length of MT were determined relative to tobacco mosaic virus standards from elastic scattering intensities. Parallel grids were freeze-dried and rotary shadowed with Pt/C at 14°.

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Spot protein-protein interactions... fast

PSI Structural Genomics Knowledgebase ◽

10.1038/th_psisgkb.2010.08 ◽

2010 ◽

Author(s):

Maria Hodges

Keyword(s):

Protein Interactions ◽

Protein Protein Interactions

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Role of small nuclear RNAs in eukaryotic gene expression

Essays in Biochemistry ◽

10.1042/bse0540079 ◽

2013 ◽

Vol 54 ◽

pp. 79-90 ◽

Cited By ~ 34

Author(s):

Saba Valadkhan ◽

Lalith S. Gunawardane

Keyword(s):

Gene Expression ◽

Protein Interactions ◽

Rna Stability ◽

Splice Sites ◽

Branch Site ◽

Small Nuclear Rnas ◽

Eukaryotic Gene Expression ◽

Eukaryotic Gene ◽

Rna Biogenesis

Eukaryotic cells contain small, highly abundant, nuclear-localized non-coding RNAs [snRNAs (small nuclear RNAs)] which play important roles in splicing of introns from primary genomic transcripts. Through a combination of RNA–RNA and RNA–protein interactions, two of the snRNPs, U1 and U2, recognize the splice sites and the branch site of introns. A complex remodelling of RNA–RNA and protein-based interactions follows, resulting in the assembly of catalytically competent spliceosomes, in which the snRNAs and their bound proteins play central roles. This process involves formation of extensive base-pairing interactions between U2 and U6, U6 and the 5′ splice site, and U5 and the exonic sequences immediately adjacent to the 5′ and 3′ splice sites. Thus RNA–RNA interactions involving U2, U5 and U6 help position the reacting groups of the first and second steps of splicing. In addition, U6 is also thought to participate in formation of the spliceosomal active site. Furthermore, emerging evidence suggests additional roles for snRNAs in regulation of various aspects of RNA biogenesis, from transcription to polyadenylation and RNA stability. These snRNP-mediated regulatory roles probably serve to ensure the co-ordination of the different processes involved in biogenesis of RNAs and point to the central importance of snRNAs in eukaryotic gene expression.

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