Skip to content
#protein folding Open access

Structural and Biochemical Analysis of Human Schlafen5 Reveals the Molecular Basis of Its Anti-Tumor Function

Sep 2026 · Health and Metabolism · 0 citations · 67 references
PARP inhibition in cancer therapy

Abstract

Background: Schlafen5 (SLFN5) is an IFN-inducible member of the SLFN protein family involved in immune regulation, viral inhibition and tumor control. Recently, SLFN5 was suggested to inhibit the invasion of many kinds of malignant cells, and its expression positively correlates with the overall survival of relevant patients. However, the functional mechanism of SLFN5 remains elusive. Here, we aim to investigate the biochemical properties and anti-tumor mechanism of SLFN5. Methods: We expressed, purified and crystallized the N-terminal domain of human SLFN5 (hSLFN5-N) and solved its structure by molecular replacement. We examined the binding and digestion ability of hSLFN5-N to several kinds of nucleic acid substrates, including DNA, RNA, tRNA and rRNA via electrophoretic mobility shift assay (EMSA) and cleavage assay in vitro. Structure-based mutation screening and cancer-associated hot-spot single-point mutations in hSLFN5 were analyzed to reveal the critical amino acid sites that influence the structure, biochemical and physiological function of the protein. Results: Structurally, hSLFN5-N is characterized by a pseudo-dimeric domain organization with a flexible central valley that is narrower than that of rat (r)SLFN13-N. Unlike rSLFN13-N, hSLFN5-N is incapable of cleaving tRNA and rRNA, but it is able to bind DNA and cleave specific RNA substrates. Site-mutation analysis suggested that positively charged residues surrounding the central valley determine the DNA and RNA affinity of hSLFN5. Structure-based analysis revealed that cancer-associated mutations tend to severely affect the folding stability and function of SLFN5 by disrupting intra-/inter-molecular interactions, incurring unfavorable alterations in local conformation, or altering potential post-translational modifications (PTMs) of the wild-type protein. Besides, SLFN5 had no DNA sequence selectivity in A375 cells, which indicated that its anti-migration activity may mainly depend on its RNA manipulation ability rather than on its DNA affinity as a transcription factor. Conclusions: SLFN5 is a DNA- and RNA-binding protein with endonuclease activity on specific RNA substrates, which determines the role of SLFN5 as a tumor suppressor. Single-point mutations may disrupt the structural stability, RNA manipulation capacity and thus the tumor suppressor function of SLFN5.

Read PDF

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or sequence constraints.

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

Google DeepMind Blog Nov 25, 2025

AlphaFold: Five years of impact

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.