Importin-9 recognizes the winged-helix fold of ETS transcription factors to mediate nuclear import

Protein trafficking between the cytoplasm and the nucleus is a fundamental process in eukaryotic cell biology. While linear nuclear localization signals (NLSs) are well characterized, many nuclear proteins lack a predictable NLS. Here, we identify the ETS domain, a DNA-binding winged-helix fold, from ETS family transcription factors as a structure-encoded NLS. We show that ETS domains mediate nuclear import through direct nanomolar affinity recognition by IPO9. Cryo-electron microscopy analysis of the EHF:IPO9 complex reveals that the IPO9 wraps around the ETS domain and engages structural features throughout the winged-helix fold. Biochemical studies demonstrate that the ETS domain DNA-binding helix is critical for importin recognition and for NLS activity in mammalian cells. Comparison of IPO9 bound to EHF and the histone H2A:H2B dimer reveals distinct interaction hotspots, illustrating how IPO9 employs unique combinatorial binding surfaces to accommodate structurally diverse cargos. These findings define a unique class of globular NLSs and highlight the adaptability of importins in recognizing distinct protein folds.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-05-01
DOI
https://doi.org/10.1073/pnas.2536763123
Primary Topic
Nuclear Structure and Function
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Importin-9 recognizes the winged-helix fold of ETS transcription factors to mediate nuclear import

Natália E. Bernardes, Michael McConville, Glen Liszczak, Yuh Min Chook et al.
Proceedings of the National Academy of Sciences
Nuclear Structure and Function
article

Importin-9 recognizes the winged-helix fold of ETS transcription factors to mediate nuclear import

Natália E. Bernardes, Michael McConville, Glen Liszczak, Yuh Min Chook, Catherine Valadez, Abby Walterscheid, Kaylee Lankford, Ashley Niesman
article en

Abstract

Protein trafficking between the cytoplasm and the nucleus is a fundamental process in eukaryotic cell biology. While linear nuclear localization signals (NLSs) are well characterized, many nuclear proteins lack a predictable NLS. Here, we identify the ETS domain, a DNA-binding winged-helix fold, from ETS family transcription factors as a structure-encoded NLS. We show that ETS domains mediate nuclear import through direct nanomolar affinity recognition by IPO9. Cryo-electron microscopy analysis of the EHF:IPO9 complex reveals that the IPO9 wraps around the ETS domain and engages structural features throughout the winged-helix fold. Biochemical studies demonstrate that the ETS domain DNA-binding helix is critical for importin recognition and for NLS activity in mammalian cells. Comparison of IPO9 bound to EHF and the histone H2A:H2B dimer reveals distinct interaction hotspots, illustrating how IPO9 employs unique combinatorial binding surfaces to accommodate structurally diverse cargos. These findings define a unique class of globular NLSs and highlight the adaptability of importins in recognizing distinct protein folds.

Proceedings of the National Academy of SciencesVol. 123(18)
The University of Texas Southwestern Medical Center (US)
Welch Foundation, Cancer Prevention and Research Institute of Texas, University of Texas Southwestern Medical Center, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 13%
Nuclear Structure and Function
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.