Evidence map›Paper›PMID 41330929›Full record

ArticleNature communications2025

DDX6 undergoes phase separation to modulate metabolic plasticity and chemoresistance.

Hongjie Bi, Wei Li, Lili Ren, Honghai Zhang, Lei Dong, Anthony Chan, Xueer Wang, Lu Yang, Xiaoxu Zhang, Meilin Xue and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Pharmacological modulation of stress granulesFrontiers in pharmacology · 2026
    Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Hongjie Bi *Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.
Wei Li *Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.ORCID http://orcid.org/0000-0003-0672-7473
Lili Ren *Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.
Honghai ZhangDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.ORCID http://orcid.org/0000-0001-6878-8584
Lei DongDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.ORCID http://orcid.org/0000-0001-9574-0148
Anthony ChanDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.
Xueer WangDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.ORCID http://orcid.org/0000-0001-8771-6025
Lu YangDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.ORCID http://orcid.org/0000-0001-7952-0399
Xiaoxu ZhangDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.
Meilin XueDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.ORCID http://orcid.org/0009-0000-8927-3678
Hanjun QinThe Integrative Genomics Core, Beckman Research Institute of City of Hope, Duarte, CA, USA.
Xiwei WuThe Integrative Genomics Core, Beckman Research Institute of City of Hope, Duarte, CA, USA.
Johanna Ten Hoeve-ScottUCLA Metabolomics Center, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, USA.
Bin ZhangDepartment of Hematological Malignancies Translational Science, Gehr Family Center for Leukemia Research, City of Hope Medical Center and Beckman Research Institute, Duarte, CA, USA.ORCID http://orcid.org/0000-0003-4703-7524
Ling LiDepartment of Hematological Malignancies Translational Science, Gehr Family Center for Leukemia Research, City of Hope Medical Center and Beckman Research Institute, Duarte, CA, USA.ORCID http://orcid.org/0000-0001-7568-939X
Mark WunderlichDivision of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
James C MulloyDivision of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Steven T RosenDepartment of Hematology and Hematopoietic Cell Transplantation, City of Hope, Duarte, CA, USA.
Jianjun ChenDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA.ORCID http://orcid.org/0000-0003-3749-2902
Xiaobo LiDepartment of Pathology, Harbin Medical University, Harbin, China. lixiaobo@ems.hrbmu.edu.cn.ORCID http://orcid.org/0000-0003-1037-3903
Chun-Wei ChenDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA. chen.chun-wei@mayo.edu.ORCID http://orcid.org/0000-0002-8737-6830
Rui SuDepartment of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA. rsu@coh.org.ORCID http://orcid.org/0000-0002-4807-6229

Funding

Project 4U54CA243124 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI MULLIGHAN, CHARLES G. · 2019 to 2023
$10.5M
Project 2U54CA285116 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI ERNEST MARTINEZ, Victoria L. Seewaldt · 2023 to 2026
$6.8M
Research EducationU54CA285114 · NCI · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI ERNEST MARTINEZ, Victoria L. Seewaldt · 2023 to 2026
$6.2M
Combinational Targeting the Feed-forward Epigenetic Circuitry in Mixed Lineage LeukemiaR37CA233691 · NCI · MAYO CLINIC ROCHESTER · PI CHEN, CHUN-WEI DAVID · 2019 to 2025
$2.8M
Mechanism and therapeutic opportunities of targeting the Tudor domainR01CA278050 · NCI · MAYO CLINIC ROCHESTER · PI Chun-Wei David Chen · 2023 to 2026
$2.0M
Therapeutic insights through patient derived leukemia xenograftsR50CA211404 · NCI · CINCINNATI CHILDRENS HOSP MED CTR · PI Mark Wunderlich · 2016 to 2026
$1.9M
The role, mechanism, and therapeutic potential of METTL1 in acute myeloid leukemiaR37CA292678 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI RUI SU · 2024 to 2026
$1.3M
Targeting mitochondrial RNA methylation in high-risk acute myeloid leukemiaR01CA296394 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI RUI SU · 2025 to 2026
$975k
NCI NIH HHS R01 CA278050NCI NIH HHS R01 CA296394NCI NIH HHS R37 CA233691NCI NIH HHS R37 CA292678NCI NIH HHS R50 CA211404NCI NIH HHS U54 CA243124NCI NIH HHS U54 CA285114NCI NIH HHS U54 CA285116
6 · The paper itself

Abstract

Stress granules (SGs) and processing bodies (PBs), assembled via liquid-liquid phase separation (LLPS), are critical for spatial regulation of gene expression in the cytoplasm. However, their roles in tumorigenesis remain poorly understood. Here, we show DEAD-box helicase 6 (DDX6) as the most promising vulnerability in acute myeloid leukemia (AML) through in vitro and in vivo CRISPR screenings using a specialized library targeting RNA-binding proteins enriched in SGs and PBs. Knockout (KO) of DDX6 significantly delays leukemogenesis with minimal impact on normal hematopoiesis. Importantly, the functions of DDX6 in AML depend largely on its ability to trigger LLPS and PB assembly. Mechanistically, PBs serve as "reservoirs" for the mRNAs interacting directly with DDX6 and having low GC content. DDX6 KO leads to rapid PB dissolution and release of PB-enriched mRNAs, such as BCAT1, into the cytosol, where these transcripts undergo degradation. By reducing BCAT1 levels, DDX6 KO reprograms amino acid metabolism and sensitizes AML cells to cytarabine chemotherapy.

Indexed as

DEAD-box RNA HelicasesDrug Resistance, NeoplasmLeukemia, Myeloid, AcuteProto-Oncogene ProteinsAnimalsCell Line, TumorCytarabineCytoplasmic GranulesGene Knockout TechniquesHumansMicePhase SeparationRNA, MessengerCytarabineDDX6 protein, humanDEAD-box RNA HelicasesProto-Oncogene ProteinsRNA, Messenger

Identifiers

PMID41330929
PMCPMC12783633

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.