Subtopic Deep Dive

14-3-3 Interactions in Cell Cycle Control
Research Guide

What is 14-3-3 Interactions in Cell Cycle Control?

14-3-3 interactions in cell cycle control involve binding to cyclin-dependent kinases and checkpoint proteins like Cdc25 to regulate G2/M progression and DNA damage responses.

14-3-3 proteins bind phosphorylated motifs on Cdc25 phosphatases to control nuclear localization and mitotic entry (Kumagai and Dunphy, 1999; Conklin et al., 1995). These interactions integrate with p53-mediated G2/M checkpoints (Taylor and Stark, 2001). Over 10 key papers from 1995-2018 document these mechanisms using yeast two-hybrid screens and live-cell imaging.

15
Curated Papers
3
Key Challenges

Why It Matters

14-3-3 binding to Cdc25 enables nuclear export, preventing premature mitosis and supporting anticancer strategies targeting G2/M arrest (Kumagai and Dunphy, 1999, 303 citations). p53-dependent 14-3-3 recruitment halts cell cycle in DNA-damaged cells, a mechanism exploited in chemotherapy sensitization (Taylor and Stark, 2001, 1549 citations). MAPKAP kinase-2 phosphorylates targets for 14-3-3 sequestration during UV-induced checkpoints, informing radiation therapy designs (Manke et al., 2005, 417 citations).

Key Research Challenges

Context-Dependent Binding Specificity

14-3-3 proteins recognize both phosphorylated (RSXpSXP) and unphosphorylated motifs, complicating prediction of interactors in cell cycle contexts (Petosa et al., 1998). Dynamic regulation under stress alters binding affinity (Pennington et al., 2018). Structural studies reveal amphipathic groove flexibility as a key variable.

Isoform-Specific Cdc25 Regulation

Multiple 14-3-3 isoforms bind Cdc25, but roles in nuclear export versus sequestration differ across species (Kumagai and Dunphy, 1999; Conklin et al., 1995). Human versus Xenopus Cdc25 responses vary, hindering translation. Yeast two-hybrid screens identify candidates but miss post-binding dynamics.

Checkpoint Integration with p53

Linking 14-3-3 to p53-G2/M pathways requires resolving UV versus DNA damage signaling overlaps (Taylor and Stark, 2001; Manke et al., 2005). Phosphorylation cascades involve MAPKAPK-2, but temporal coordination remains unclear. Mass spectrometry data shows transient interactions needing kinetic modeling.

Essential Papers

1.

Regulation of the G2/M transition by p53

William R. Taylor, George R. Stark · 2001 · Oncogene · 1.5K citations

2.

MAPKAP Kinase-2 Is a Cell Cycle Checkpoint Kinase that Regulates the G2/M Transition and S Phase Progression in Response to UV Irradiation

Isaac A. Manke, Anhco Nguyen, Daniel Lim et al. · 2005 · Molecular Cell · 417 citations

3.
4.

14-3-3ζ Binds a Phosphorylated Raf Peptide and an Unphosphorylated Peptide via Its Conserved Amphipathic Groove

Carlo Petosa, Shane C. Masters, Laurie A. Bankston et al. · 1998 · Journal of Biological Chemistry · 354 citations

14-3-3 proteins bind a variety of molecules involved in signal transduction, cell cycle regulation and apoptosis. 14-3-3 binds ligands such as Raf-1 kinase and Bad by recognizing the phosphorylated...

5.

Involvement of 14-3-3 proteins in nuclear localization of telomerase

Hiroyuki Seimiya · 2000 · The EMBO Journal · 316 citations

6.

Binding of 14-3-3 proteins and nuclear export control the intracellular localization of the mitotic inducer Cdc25

Akiko Kumagai, William G. Dunphy · 1999 · Genes & Development · 303 citations

Binding of 14-3-3 proteins near the nuclear localization sequence of Xenopus Cdc25 suppresses its ability to induce entry into mitosis. We have examined the intracellular localization of green fluo...

7.

14-3-3 proteins—an update

Paulette Mhawech · 2005 · Cell Research · 298 citations

Reading Guide

Foundational Papers

Start with Conklin et al. (1995) for 14-3-3-Cdc25 discovery via yeast two-hybrid, then Kumagai and Dunphy (1999) for nuclear export mechanisms, and Taylor and Stark (2001) for p53 integration—all establishing core G2/M regulation.

Recent Advances

Pennington et al. (2018, 376 citations) details stress-adaptive 14-3-3 hubs; Manke et al. (2005, 417 citations) links MAPKAPK-2 to checkpoints.

Core Methods

Yeast two-hybrid for interactions (Conklin 1995); GFP imaging for localization (Kumagai 1999); crystallography for motifs (Petosa 1998); mass spectrometry for dynamics (Pennington 2018).

How PapersFlow Helps You Research 14-3-3 Interactions in Cell Cycle Control

Discover & Search

Research Agent uses citationGraph on Kumagai and Dunphy (1999) to map 300+ citing papers linking 14-3-3 to Cdc25 nuclear export, then findSimilarPapers expands to p53 checkpoints (Taylor and Stark, 2001). exaSearch queries '14-3-3 Cdc25 G2/M phosphorylation' retrieves 50+ OpenAlex papers with binding motifs. searchPapers filters by citation count >200 for foundational works like Conklin et al. (1995).

Analyze & Verify

Analysis Agent runs readPaperContent on Petosa et al. (1998) to extract RSXpSXP motif structures, then verifyResponse with CoVe cross-checks against Manke et al. (2005) for UV checkpoint consistency. runPythonAnalysis processes mass spec data from Pennington et al. (2018) via pandas to quantify 14-3-3 interactors, graded by GRADE for evidence strength in dynamic binding claims.

Synthesize & Write

Synthesis Agent detects gaps in Cdc25 isoform specificity across Kumagai/Dunphy (1999) and Conklin (1995), flagging contradictions in nuclear export models. Writing Agent applies latexEditText to draft reviews, latexSyncCitations for 10+ papers, and latexCompile for figures; exportMermaid visualizes 14-3-3-Cdc25-p53 interaction networks.

Use Cases

"Analyze phosphorylation motifs in 14-3-3 Cdc25 binding from top papers"

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (NumPy motif counting on Petosa 1998 + Conklin 1995 extracts) → CSV of motif frequencies and binding scores.

"Draft LaTeX figure of 14-3-3 G2/M checkpoint pathway"

Synthesis Agent → gap detection on Taylor/Stark 2001 + Kumagai/Dunphy 1999 → Writing Agent → latexGenerateFigure + latexSyncCitations + latexCompile → compiled PDF with pathway diagram and 15 citations.

"Find code for modeling 14-3-3 cell cycle kinetics"

Research Agent → paperExtractUrls on Manke 2005 → Code Discovery → paperFindGithubRepo → githubRepoInspect → Python scripts for MAPKAPK-2 phosphorylation simulations.

Automated Workflows

Deep Research workflow scans 50+ papers via searchPapers on '14-3-3 Cdc25 G2/M', chains citationGraph to Taylor/Stark (2001), and outputs structured review with GRADE-scored sections on checkpoints. DeepScan applies 7-step CoVe to verify Pennington (2018) stress-adaptive claims against Kumagai/Dunphy (1999) nuclear export data. Theorizer generates hypotheses on isoform-specific p53 integration from Manke (2005) and Conklin (1995) interactors.

Frequently Asked Questions

What defines 14-3-3 interactions in cell cycle control?

14-3-3 proteins bind phosphorylated Cdc25 and checkpoint regulators to control G2/M transition and nuclear localization (Kumagai and Dunphy, 1999; Conklin et al., 1995).

What methods identify 14-3-3 cell cycle partners?

Yeast two-hybrid screens isolated 14-3-3-Cdc25 interactions (Conklin et al., 1995); structural studies map motifs via crystallography (Petosa et al., 1998); live-cell imaging tracks nuclear export (Kumagai and Dunphy, 1999).

What are key papers on this topic?

Taylor and Stark (2001, 1549 citations) on p53-G2/M; Kumagai and Dunphy (1999, 303 citations) on Cdc25 export; Conklin et al. (1995, 249 citations) on 14-3-3-Cdc25 association.

What open problems exist?

Isoform-specific roles in human versus model systems; kinetic modeling of stress-adaptive binding (Pennington et al., 2018); integration with MAPKAPK-2 in UV responses (Manke et al., 2005).

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