Genome-Wide Analysis of Protein-Protein Interactions Using a Two-Hybrid Array: High-Density Robotic Screening Procedure

2006 ◽  
Vol 2006 (23) ◽  
pp. pdb.prot4563-pdb.prot4563 ◽  
Author(s):  
T. R. Hazbun ◽  
J. P. Miller
Keyword(s):  
Protein Interactions ◽  
High Density ◽  
Screening Procedure ◽  
Protein Protein Interactions ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
Two Hybrid

scholarly journals Genome-Wide Protein Interaction Screens Reveal Functional Networks Involving Sm-Like Proteins

Yeast ◽  
2000 ◽  
Vol 1 (2) ◽  
pp. 95-110
Author(s):  
Micheline Fromont-Racine ◽  
Andrew E. Mayes ◽  
Adeline Brunet-Simon ◽  
Jean-Christophe Rain ◽  
Alan Colley ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Genomic Sequence ◽  
Open Reading Frames ◽  
Yeast Genome ◽  
Protein Protein Interactions ◽  
Sm Proteins ◽  
Functional Studies ◽  
Genome Wide ◽  
A Genome ◽  
Two Hybrid

A set of seven structurally related Sm proteins forms the core of the snRNP particles containing the spliceosomal U1, U2, U4 and U5 snRNAs. A search of the genomic sequence of Saccharomyces cerevisiae has identified a number of open reading frames that potentially encode structurally similar proteins termed Lsm (L¯ike Sm¯) proteins. With the aim of analysing all possible interactions between the Lsm proteins and any protein encoded in the yeast genome, we performed exhaustive and iterative genomic two-hybrid screens, starting with the Lsm proteins as baits. Indeed, extensive interactions amongst eight Lsm proteins were found that suggest the existence of a Lsm complex or complexes. These Lsm interactions apparently involve the conserved Sm domain that also mediates interactions between the Sm proteins. The screens also reveal functionally significant interactions with splicing factors, in particular with Prp4 and Prp24, compatible with genetic studies and with the reported association of Lsm proteins with spliceosomal U6 and U4/U6 particles. In addition, interactions with proteins involved in mRNA turnover, such as Mrt1, Dcp1, Dcp2 and Xrn1, point to roles for Lsm complexes in distinct RNA metabolic processes, that are confirmed in independent functional studies. These results provide compelling evidence that two-hybrid screens yield functionally meaningful information about protein–protein interactions and can suggest functions for uncharacterized proteins, especially when they are performed on a genome-wide scale.

scholarly journals Genome-Wide Analysis of Protein-Protein Interactions and Involvement of Viral Proteins in SARS-CoV Replication

PLoS ONE ◽  
2008 ◽  
Vol 3 (10) ◽  
pp. e3299 ◽  
Author(s):  
Ji'An Pan ◽  
Xiaoxue Peng ◽  
Yajing Gao ◽  
Zhilin Li ◽  
Xiaolu Lu ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Viral Proteins ◽  
Protein Protein Interactions ◽  
Genome Wide Analysis ◽  
Genome Wide

scholarly journals Genome-Wide Protein Interaction Screens Reveal Functional Networks Involving Sm-Like Proteins

Yeast ◽  
2000 ◽  
Vol 1 (2) ◽  
pp. 95-110 ◽  
Author(s):  
Micheline Fromont-Racine ◽  
Andrew E. Mayes ◽  
Adeline Brunet-Simon ◽  
Jean-Christophe Rain ◽  
Alan Colley ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Genomic Sequence ◽  
Open Reading Frames ◽  
Yeast Genome ◽  
Protein Protein Interactions ◽  
Sm Proteins ◽  
Functional Studies ◽  
Genome Wide ◽  
A Genome ◽  
Two Hybrid

A set of seven structurally related Sm proteins forms the core of the snRNP particles containing the spliceosomal U1, U2, U4 and U5 snRNAs. A search of the genomic sequence ofSaccharomyces cerevisiaehas identified a number of open reading frames that potentially encode structurally similar proteins termed Lsm (L¯ike Sm¯) proteins. With the aim of analysing all possible interactions between the Lsm proteins and any protein encoded in the yeast genome, we performed exhaustive and iterative genomic two-hybrid screens, starting with the Lsm proteins as baits. Indeed, extensive interactions amongst eight Lsm proteins were found that suggest the existence of a Lsm complex or complexes. These Lsm interactions apparently involve the conserved Sm domain that also mediates interactions between the Sm proteins. The screens also reveal functionally significant interactions with splicing factors, in particular with Prp4 and Prp24, compatible with genetic studies and with the reported association of Lsm proteins with spliceosomal U6 and U4/U6 particles. In addition, interactions with proteins involved in mRNA turnover, such as Mrt1, Dcp1, Dcp2 and Xrn1, point to roles for Lsm complexes in distinct RNA metabolic processes, that are confirmed in independent functional studies. These results provide compelling evidence that two-hybrid screens yield functionally meaningful information about protein–protein interactions and can suggest functions for uncharacterized proteins, especially when they are performed on a genome-wide scale.

scholarly journals Roles of the 14-3-3 gene family in cotton flowering

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Na Sang ◽  
Hui Liu ◽  
Bin Ma ◽  
Xianzhong Huang ◽  
Lu Zhuo ◽  
...  
Keyword(s):  
Gene Family ◽  
Protein Interactions ◽  
Leucine Zipper ◽  
Expression Patterns ◽  
Bimolecular Fluorescence Complementation ◽  
Structural Motif ◽  
Virus Induced Gene Silencing ◽  
Protein Protein Interactions ◽  
Basic Leucine Zipper ◽  
Genome Wide

Abstract Background In plants, 14-3-3 proteins, also called GENERAL REGULATORY FACTORs (GRFs), encoded by a large multigene family, are involved in protein–protein interactions and play crucial roles in various physiological processes. No genome-wide analysis of the GRF gene family has been performed in cotton, and their functions in flowering are largely unknown. Results In this study, 17, 17, 31, and 17 GRF genes were identified in Gossypium herbaceum, G. arboreum, G. hirsutum, and G. raimondii, respectively, by genome-wide analyses and were designated as GheGRFs, GaGRFs, GhGRFs, and GrGRFs, respectively. A phylogenetic analysis revealed that these proteins were divided into ε and non-ε groups. Gene structural, motif composition, synteny, and duplicated gene analyses of the identified GRF genes provided insights into the evolution of this family in cotton. GhGRF genes exhibited diverse expression patterns in different tissues. Yeast two-hybrid and bimolecular fluorescence complementation assays showed that the GhGRFs interacted with the cotton FLOWERING LOCUS T homologue GhFT in the cytoplasm and nucleus, while they interacted with the basic leucine zipper transcription factor GhFD only in the nucleus. Virus-induced gene silencing in G. hirsutum and transgenic studies in Arabidopsis demonstrated that GhGRF3/6/9/15 repressed flowering and that GhGRF14 promoted flowering. Conclusions Here, 82 GRF genes were identified in cotton, and their gene and protein features, classification, evolution, and expression patterns were comprehensively and systematically investigated. The GhGRF3/6/9/15 interacted with GhFT and GhFD to form florigen activation complexs that inhibited flowering. However, GhGRF14 interacted with GhFT and GhFD to form florigen activation complex that promoted flowering. The results provide a foundation for further studies on the regulatory mechanisms of flowering.

scholarly journals Coiled-coil networking shapes cell molecular machinery

2012 ◽  
Vol 23 (19) ◽  
pp. 3911-3922 ◽  
Author(s):  
Yongqiang Wang ◽  
Xinlei Zhang ◽  
Hong Zhang ◽  
Yi Lu ◽  
Haolong Huang ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Critical Role ◽  
Coiled Coil ◽  
Coiled Coils ◽  
Protein Protein Interactions ◽  
Full Spectrum ◽  
Kinetochore Assembly ◽  
Genome Wide ◽  
Molecular Machinery ◽  
Systematic Understanding

The highly abundant α-helical coiled-coil motif not only mediates crucial protein–protein interactions in the cell but is also an attractive scaffold in synthetic biology and material science and a potential target for disease intervention. Therefore a systematic understanding of the coiled-coil interactions (CCIs) at the organismal level would help unravel the full spectrum of the biological function of this interaction motif and facilitate its application in therapeutics. We report the first identified genome-wide CCI network in Saccharomyces cerevisiae, which consists of 3495 pair-wise interactions among 598 predicted coiled-coil regions. Computational analysis revealed that the CCI network is specifically and functionally organized and extensively involved in the organization of cell machinery. We further show that CCIs play a critical role in the assembly of the kinetochore, and disruption of the CCI network leads to defects in kinetochore assembly and cell division. The CCI network identified in this study is a valuable resource for systematic characterization of coiled coils in the shaping and regulation of a host of cellular machineries and provides a basis for the utilization of coiled coils as domain-based probes for network perturbation and pharmacological applications.

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