Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Insights and modulation of RNA polymerase–dependent R-loop and dsRNA in Fanconi anemia hematopoietic stem cells
Michihiro Hashimoto, Xiaomin Feng, Jie Bai, Huimin Zeng, Tian Li, Jue Li, Terumasa Umemoto, Paul R. Andreassen, Gang Huang
Michihiro Hashimoto, Xiaomin Feng, Jie Bai, Huimin Zeng, Tian Li, Jue Li, Terumasa Umemoto, Paul R. Andreassen, Gang Huang
View: Text | PDF
Research Article Cell biology Hematology

Insights and modulation of RNA polymerase–dependent R-loop and dsRNA in Fanconi anemia hematopoietic stem cells

  • Text
  • PDF
Abstract

Fanconi anemia (FA) is the most common BM failure (BMF) syndrome. FA genes have a role in suppressing DNA-RNA hybrids, termed R-loops, which can be generated via transcription mediated by RNA polymerase (RNAP). How these processes, including a role in fate determination of hematopoietic stem cells (HSCs), are related to BMF is largely unknown. Single FA gene KO in mice does not recapitulate most phenotypes observed in patients with FA. Thus, we generated a mouse model for FA by introducing heterozygous Setd2, which restricts RNAP-dependent transcription. We showed that FA patient–derived cells and Setd2+/– Fanca–/– HSCs share increased R-loop and dsRNA levels and a ribosomal biogenesis defect. Further, Setd2+/– Fanca–/– HSCs displayed cell cycle arrest, mitotic errors, and BMF phenotypes. Importantly, utilizing our Setd2+/– Fanca–/– mice, we discovered that Juglone, a pan-RNAP inhibitor, reduces R-loop and dsRNA and reverses ribosomal biogenesis defects and mitotic errors, thereby rescuing BMF. This study establishes a mouse model that underscores a key role for R-loop formation, ribosomal biogenesis defects, and mitotic errors in HSCs in driving BMF in FA. We also introduce a potential therapeutic avenue based upon pan-inhibition of RNAPs utilizing Juglone.

Authors

Michihiro Hashimoto, Xiaomin Feng, Jie Bai, Huimin Zeng, Tian Li, Jue Li, Terumasa Umemoto, Paul R. Andreassen, Gang Huang

×

Figure 2

Characterization of BMF in a mouse model for FA.

Options: View larger image (or click on image) Download as PowerPoint
Characterization of BMF in a mouse model for FA.
(A) Representative phot...
(A) Representative photos of eyes in control and Setd2+/– Fanca–/– mice. (B–K) Peripheral blood (PB) analysis between control (black), Setd2+/– (blue), Fanca–/–(green), and Setd2+/– Fanca–/– (red) mice. WBCs (B), neutrophils (D), monocytes (E), eosinophils (F), RBCs (G), reticulocytes (H), MCV (I), MCH (J), platelets (K). One-way ANOVA with Tukey’s multiple-comparison test. (L) Total BM cell number in control (black, n = 3), Setd2+/– (blue, n = 3), Fanca–/– (green, n = 4), and Setd2+/– Fanca–/– (red, n = 4) mice. One-way ANOVA with Tukey’s multiple-comparison test. (M) Absolute HSC [lineage (–), c-Kit (+), EPCR (+), CD48 (–), and CD150 (+)] numbers for control (black, n =4), Setd2+/– (blue, n = 3), Fanca–/– (green, n = 3), and Setd2+/– Fanca–/– (red, n = 3) mice. One-way ANOVA with Tukey’s multiple-comparison test. (N) Cell cycle status by flow cytometry utilizing Ki67 to distinguish G0 cells from G1/S/G2/M cells with DAPI stain to measure DNA content. Graphs show distribution of cells to indicated cell cycle phases. One-way ANOVA with Tukey’s multiple-comparison test; n = 4 for each condition. (O) Levels of DNA damage in HSCs from control (black, n = 4), Setd2+/– (blue, n = 3), Fanca–/– (green, n = 3), and Setd2+/– Fanca–/– (red, n = 5) mice as measured by γH2A.X levels. One-way ANOVA with Tukey’s multiple-comparison test. (P) Levels of pRPA2 in HSC from control (black, n = 3), Setd2+/– (blue, n = 3), Fanca–/– (green, n = 3), and Setd2+/– Fanca–/– (red, n = 3) mice. One-way ANOVA with Tukey’s multiple-comparison test. (Q) MMC sensitivity for c-Kit+ cells from control (black), Setd2+/– (blue), Fanca–/– (green), and Setd2+/– Fanca–/– (red) mice. c-Kit+ cells were cultured with MMC for 3 days when cell numbers were counted using Celigo. Two-way ANOVA with Tukey’s multiple-comparison test; n = 4 for each condition. (R) BM transplantation of CD45.2+ control (black), Setd2+/– (blue), Fanca–/– (green), and Setd2+/– Fanca–/– (red) BMCs into CD45.1 mice. After recipient mice received lethal irradiation, BMCs from control, Setd2+/–, Fanca–/–, and Setd2+/– Fanca–/– were injected into recipient mice. PB was analyzed at 1, 3, and 5 months after transplantation. Two-way ANOVA followed by Tukey’s multiple-comparison test; n = 5 for each condition. Data shown as mean ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts