1
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Zhou C, Zhao D, Wu C, Wu Z, Zhang W, Chen S, Zhao X, Wu S. Role of histone deacetylase inhibitors in non-neoplastic diseases. Heliyon 2024; 10:e33997. [PMID: 39071622 PMCID: PMC11283006 DOI: 10.1016/j.heliyon.2024.e33997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 06/28/2024] [Accepted: 07/02/2024] [Indexed: 07/30/2024] Open
Abstract
Background Epigenetic dysregulation has been implicated in the development and progression of a variety of human diseases, but epigenetic changes are reversible, and epigenetic enzymes and regulatory proteins can be targeted using small molecules. Histone deacetylase inhibitors (HDACis), as a class of epigenetic drugs, are widely used to treat various cancers and other diseases involving abnormal gene expression. Results Specially, HDACis have emerged as a promising strategy to enhance the therapeutic effect of non-neoplastic conditions, including neurological disorders, cardiovascular diseases, renal diseases, autoimmune diseases, inflammatory diseases, infectious diseases and rare diseases, along with their related mechanisms. However, their clinical efficacy has been limited by drug resistance and toxicity. Conclusions To date, most clinical trials of HDAC inhibitors have been related to the treatment of cancer rather than the treatment of non-cancer diseases, for which experimental studies are gradually underway. Discussions regarding non-neoplastic diseases often concentrate on specific disease types. Therefore, this review highlights the development of HDACis and their potential therapeutic applications in non-neoplastic diseases, either as monotherapy or in combination with other drugs or therapies.
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Affiliation(s)
- Chunxiao Zhou
- College of Medicine, Qingdao University, Qingdao, 266000, China
| | - Dengke Zhao
- Harbin Medical University, Harbin, 150000, China
| | - Chunyan Wu
- College of Medicine, Qingdao University, Qingdao, 266000, China
| | - Zhimin Wu
- College of Medicine, Qingdao University, Qingdao, 266000, China
| | - Wen Zhang
- College of Medicine, Qingdao University, Qingdao, 266000, China
| | - Shilv Chen
- College of Medicine, Qingdao University, Qingdao, 266000, China
| | - Xindong Zhao
- College of Medicine, Qingdao University, Qingdao, 266000, China
| | - Shaoling Wu
- Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China
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2
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Cordone V. Biochemical and molecular determinants of the subclinical inflammatory mechanisms in Rett syndrome. Arch Biochem Biophys 2024; 757:110046. [PMID: 38815782 DOI: 10.1016/j.abb.2024.110046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/24/2024] [Accepted: 05/25/2024] [Indexed: 06/01/2024]
Abstract
To date, Rett syndrome (RTT), a genetic disorder mainly caused by mutations in the X-linked MECP2 gene, is increasingly considered a broad-spectrum pathology, instead of just a neurodevelopmental disease, due to the multitude of peripheral co-morbidities and the compromised metabolic pathways, affecting the patients. The altered molecular processes include an impaired mitochondrial function, a perturbed redox homeostasis, a chronic subclinical inflammation and an improper cholesterol metabolism. The persistent subclinical inflammatory condition was first defined ten years ago, as a previously unrecognized feature of RTT, playing a role in the pathology progress and modulation of phenotypical severity. In light of this, the present work aims at reviewing the current knowledge on the chronic inflammatory status and the altered immune/inflammatory functions in RTT, as well as investigating the emerging mechanisms underlying this condition with a special focus on the latest findings about inflammasome system, autoimmunity responses and intestinal micro- and mycobiota. On these bases, although further research is needed, future therapeutic strategies able to re-establish an adequate immune/inflammatory response could represent potential approaches for RTT patients.
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Affiliation(s)
- Valeria Cordone
- Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy.
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3
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Canavati C, Sherill-Rofe D, Kamal L, Bloch I, Zahdeh F, Sharon E, Terespolsky B, Allan IA, Rabie G, Kawas M, Kassem H, Avraham KB, Renbaum P, Levy-Lahad E, Kanaan M, Tabach Y. Using multi-scale genomics to associate poorly annotated genes with rare diseases. Genome Med 2024; 16:4. [PMID: 38178268 PMCID: PMC10765705 DOI: 10.1186/s13073-023-01276-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 12/15/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Next-generation sequencing (NGS) has significantly transformed the landscape of identifying disease-causing genes associated with genetic disorders. However, a substantial portion of sequenced patients remains undiagnosed. This may be attributed not only to the challenges posed by harder-to-detect variants, such as non-coding and structural variations but also to the existence of variants in genes not previously associated with the patient's clinical phenotype. This study introduces EvORanker, an algorithm that integrates unbiased data from 1,028 eukaryotic genomes to link mutated genes to clinical phenotypes. METHODS EvORanker utilizes clinical data, multi-scale phylogenetic profiling, and other omics data to prioritize disease-associated genes. It was evaluated on solved exomes and simulated genomes, compared with existing methods, and applied to 6260 knockout genes with mouse phenotypes lacking human associations. Additionally, EvORanker was made accessible as a user-friendly web tool. RESULTS In the analyzed exomic cohort, EvORanker accurately identified the "true" disease gene as the top candidate in 69% of cases and within the top 5 candidates in 95% of cases, consistent with results from the simulated dataset. Notably, EvORanker outperformed existing methods, particularly for poorly annotated genes. In the case of the 6260 knockout genes with mouse phenotypes, EvORanker linked 41% of these genes to observed human disease phenotypes. Furthermore, in two unsolved cases, EvORanker successfully identified DLGAP2 and LPCAT3 as disease candidates for previously uncharacterized genetic syndromes. CONCLUSIONS We highlight clade-based phylogenetic profiling as a powerful systematic approach for prioritizing potential disease genes. Our study showcases the efficacy of EvORanker in associating poorly annotated genes to disease phenotypes observed in patients. The EvORanker server is freely available at https://ccanavati.shinyapps.io/EvORanker/ .
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Affiliation(s)
- Christina Canavati
- Department of Developmental Biology and Cancer Research, Institute of Medical Research - Israel-Canada, The Hebrew University of Jerusalem, Jerusalem, 9112102, Israel
- Molecular Genetics Lab, Istishari Arab Hospital, Ramallah, Palestine
| | - Dana Sherill-Rofe
- Department of Developmental Biology and Cancer Research, Institute of Medical Research - Israel-Canada, The Hebrew University of Jerusalem, Jerusalem, 9112102, Israel
| | - Lara Kamal
- Molecular Genetics Lab, Istishari Arab Hospital, Ramallah, Palestine
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Idit Bloch
- Department of Developmental Biology and Cancer Research, Institute of Medical Research - Israel-Canada, The Hebrew University of Jerusalem, Jerusalem, 9112102, Israel
| | - Fouad Zahdeh
- Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem, 91031, Israel
| | - Elad Sharon
- Department of Developmental Biology and Cancer Research, Institute of Medical Research - Israel-Canada, The Hebrew University of Jerusalem, Jerusalem, 9112102, Israel
| | - Batel Terespolsky
- Department of Developmental Biology and Cancer Research, Institute of Medical Research - Israel-Canada, The Hebrew University of Jerusalem, Jerusalem, 9112102, Israel
- Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem, 91031, Israel
| | - Islam Abu Allan
- Molecular Genetics Lab, Istishari Arab Hospital, Ramallah, Palestine
| | - Grace Rabie
- Hereditary Research Laboratory and Department of Life Sciences, Bethlehem University, Bethlehem, 72372, Palestine
| | - Mariana Kawas
- Hereditary Research Laboratory and Department of Life Sciences, Bethlehem University, Bethlehem, 72372, Palestine
| | - Hanin Kassem
- Molecular Genetics Lab, Istishari Arab Hospital, Ramallah, Palestine
| | - Karen B Avraham
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Paul Renbaum
- Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem, 91031, Israel
| | - Ephrat Levy-Lahad
- Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem, 91031, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 9112102, Israel
| | - Moien Kanaan
- Molecular Genetics Lab, Istishari Arab Hospital, Ramallah, Palestine
- Hereditary Research Laboratory and Department of Life Sciences, Bethlehem University, Bethlehem, 72372, Palestine
| | - Yuval Tabach
- Department of Developmental Biology and Cancer Research, Institute of Medical Research - Israel-Canada, The Hebrew University of Jerusalem, Jerusalem, 9112102, Israel.
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4
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Nizar R, Cazacu S, Xiang C, Krasner M, Barbiro-Michaely E, Gerber D, Schwartz J, Fried I, Yuval S, Brodie A, Kazimirsky G, Amos N, Unger R, Brown S, Rogers L, Penning DH, Brodie C. Propofol Inhibits Glioma Stem Cell Growth and Migration and Their Interaction with Microglia via BDNF-AS and Extracellular Vesicles. Cells 2023; 12:1921. [PMID: 37566001 PMCID: PMC10417602 DOI: 10.3390/cells12151921] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/10/2023] [Accepted: 07/15/2023] [Indexed: 08/12/2023] Open
Abstract
Glioblastoma (GBM) is the most common and aggressive primary brain tumor. GBM contains a small subpopulation of glioma stem cells (GSCs) that are implicated in treatment resistance, tumor infiltration, and recurrence, and are thereby considered important therapeutic targets. Recent clinical studies have suggested that the choice of general anesthetic (GA), particularly propofol, during tumor resection, affects subsequent tumor response to treatments and patient prognosis. In this study, we investigated the molecular mechanisms underlying propofol's anti-tumor effects on GSCs and their interaction with microglia cells. Propofol exerted a dose-dependent inhibitory effect on the self-renewal, expression of mesenchymal markers, and migration of GSCs and sensitized them to both temozolomide (TMZ) and radiation. At higher concentrations, propofol induced a large degree of cell death, as demonstrated using microfluid chip technology. Propofol increased the expression of the lncRNA BDNF-AS, which acts as a tumor suppressor in GBM, and silencing of this lncRNA partially abrogated propofol's effects. Propofol also inhibited the pro-tumorigenic GSC-microglia crosstalk via extracellular vesicles (EVs) and delivery of BDNF-AS. In conclusion, propofol exerted anti-tumor effects on GSCs, sensitized these cells to radiation and TMZ, and inhibited their pro-tumorigenic interactions with microglia via transfer of BDNF-AS by EVs.
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Affiliation(s)
- Rephael Nizar
- The Mina and Everard Goodman Faculty of Life Sciences, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel; (R.N.); (M.K.); (E.B.-M.); (D.G.); (J.S.); (G.K.); (N.A.); (R.U.)
| | - Simona Cazacu
- Davidson Laboratory of Cell Signaling and Tumorigenesis, Hermelin Brain Tumor Center, Department of Neurosurgery, Henry Ford Health, Detroit, MI 48202, USA; (S.C.); (C.X.); (D.H.P.)
| | - Cunli Xiang
- Davidson Laboratory of Cell Signaling and Tumorigenesis, Hermelin Brain Tumor Center, Department of Neurosurgery, Henry Ford Health, Detroit, MI 48202, USA; (S.C.); (C.X.); (D.H.P.)
| | - Matan Krasner
- The Mina and Everard Goodman Faculty of Life Sciences, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel; (R.N.); (M.K.); (E.B.-M.); (D.G.); (J.S.); (G.K.); (N.A.); (R.U.)
| | - Efrat Barbiro-Michaely
- The Mina and Everard Goodman Faculty of Life Sciences, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel; (R.N.); (M.K.); (E.B.-M.); (D.G.); (J.S.); (G.K.); (N.A.); (R.U.)
| | - Doron Gerber
- The Mina and Everard Goodman Faculty of Life Sciences, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel; (R.N.); (M.K.); (E.B.-M.); (D.G.); (J.S.); (G.K.); (N.A.); (R.U.)
| | - Jonathan Schwartz
- The Mina and Everard Goodman Faculty of Life Sciences, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel; (R.N.); (M.K.); (E.B.-M.); (D.G.); (J.S.); (G.K.); (N.A.); (R.U.)
| | - Iris Fried
- Pediatric Hematology Oncology Unit, Shaare Zedek Hospital, Jerusalem 9103102, Israel; (I.F.); (S.Y.)
| | - Shira Yuval
- Pediatric Hematology Oncology Unit, Shaare Zedek Hospital, Jerusalem 9103102, Israel; (I.F.); (S.Y.)
| | | | - Gila Kazimirsky
- The Mina and Everard Goodman Faculty of Life Sciences, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel; (R.N.); (M.K.); (E.B.-M.); (D.G.); (J.S.); (G.K.); (N.A.); (R.U.)
| | - Naama Amos
- The Mina and Everard Goodman Faculty of Life Sciences, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel; (R.N.); (M.K.); (E.B.-M.); (D.G.); (J.S.); (G.K.); (N.A.); (R.U.)
| | - Ron Unger
- The Mina and Everard Goodman Faculty of Life Sciences, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel; (R.N.); (M.K.); (E.B.-M.); (D.G.); (J.S.); (G.K.); (N.A.); (R.U.)
| | - Stephen Brown
- Radiation Oncology, Henry Ford Health, Detroit, MI 48202, USA;
| | - Lisa Rogers
- Department of Neurosurgery, Henry Ford Health, Detroit, MI 48202, USA;
| | - Donald H. Penning
- Davidson Laboratory of Cell Signaling and Tumorigenesis, Hermelin Brain Tumor Center, Department of Neurosurgery, Henry Ford Health, Detroit, MI 48202, USA; (S.C.); (C.X.); (D.H.P.)
- Anesthesiology, Pain Management & Perioperative Medicine, Henry Ford Health, Detroit, MI 48202, USA
| | - Chaya Brodie
- The Mina and Everard Goodman Faculty of Life Sciences, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel; (R.N.); (M.K.); (E.B.-M.); (D.G.); (J.S.); (G.K.); (N.A.); (R.U.)
- Davidson Laboratory of Cell Signaling and Tumorigenesis, Hermelin Brain Tumor Center, Department of Neurosurgery, Henry Ford Health, Detroit, MI 48202, USA; (S.C.); (C.X.); (D.H.P.)
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5
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Huang G, Wu Y, Du Y, Gan H, Hao S. Methyl-CpG Binding Protein 2 as a Potential Diagnostic and Prognostic Marker Facilitates Glioma Progression Through Activation of Wnt/β-Catenin Pathway. World Neurosurg 2023; 171:e560-e571. [PMID: 36529430 DOI: 10.1016/j.wneu.2022.12.063] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Glioma is the primary malignant tumor in the central nervous system and has high malignancy, mortality, and recurrence rates. Because of its heterogeneity and drug resistance, the blood-brain barrier, and other factors, the treatment of glioma has mainly been surgical resection combined with traditional radiotherapy and chemotherapy. However, the therapeutic effect has not been satisfactory. Methyl-CpG binding protein 2 (MeCP2) is an epigenetic regulator that has been reported to regulate the initiation and progression of glioma. However, the underlying mechanism in glioma has remained unclear. METHODS The gene expression of MeCp2, miR-138-5p, the epithelial-mesenchymal transition, the apoptosis-related gene, and the Wnt/β-Catenin pathway-related gene and proliferation were detected by reverse transcription-quantitative polymerase chain reaction or Western blot. The cell proliferation and apoptosis of the glioma cell was assessed using the CCK-8 assay and flow cytometry assay. The relationship between miR-138-5p and MeCp2 was measured using the dual luciferase reporter assay. The effect of MeCp2 in U87 cells was examined in a xenograft tumorigenesis model in vivo. RESULTS In our study, we found that MeCP2 was upregulated in glioma tissues and cell lines and that MeCP2 knockdown repressed cell proliferation and epithelial-mesenchymal transition but boosted cell apoptosis in glioma. Furthermore, MeCP2 knockdown attenuated in vivo glioma growth in a mice model. Mechanistically, miR-138-5p hindered the expression of MeCP2 by target MeCP2 and then inactivated the Wnt/β-catenin signaling pathway. In addition, subsequent rescue assays disclosed that miR-138-5p repressed the glioma malignant phenotype and MeCP2 overexpression reversed the inhibitory effect of miR-138-5p upregulation. Consistently, overexpression of MeCP2 elevated glioma development. However, inhibition of the Wnt/β-catenin signaling pathway with XAV-939 rescued the facilitation effect by overexpressing miR-138-5p. CONCLUSIONS Our results have revealed that miR-138-5p/MeCP2/Wnt/β-catenin signaling might be a new target axis for glioma treatment strategies.
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Affiliation(s)
- Guanyou Huang
- Department of Neurosurgery, The Second People's Hospital of Guiyang (Jingyang Hospital), Guiyang, China.
| | - Yujuan Wu
- Department of Neurology, The Second People's Hospital of Guiyang (Jingyang Hospital), Guiyang, China
| | - Yonggui Du
- Department of Neurosurgery, The Second People's Hospital of Guiyang (Jingyang Hospital), Guiyang, China
| | - Hongchuan Gan
- Department of Neurosurgery, The Second People's Hospital of Guiyang (Jingyang Hospital), Guiyang, China
| | - Shuyu Hao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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6
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Panayotis N, Ehinger Y, Felix MS, Roux JC. State-of-the-art therapies for Rett syndrome. Dev Med Child Neurol 2023; 65:162-170. [PMID: 36056801 PMCID: PMC10087176 DOI: 10.1111/dmcn.15383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 01/04/2023]
Abstract
Rett syndrome (RTT) is an X-linked neurogenetic disorder caused by mutations of the MECP2 (methyl-CpG-binding protein 2) gene. Over two decades of work established MeCP2 as a protein with pivotal roles in the regulation of the epigenome, neuronal physiology, synaptic maintenance, and behaviour. Given the genetic aetiology of RTT and the proof of concept of its reversal in a mouse model, considerable efforts have been made to design therapeutic approaches to re-express MeCP2. By being at the forefront of the development of innovative gene therapies, research on RTT is of paramount importance for the treatment of monogenic neurological diseases. Here we discuss the recent advances and challenges of promising genetic strategies for the treatment of RTT including gene replacement therapies, gene/RNA editing strategies, and reactivation of the silenced X chromosome. WHAT THIS PAPER ADDS: Recent advances shed light on the promises of gene replacement therapy with new vectors designed to control the levels of MeCP2 expression. New developments in DNA/RNA editing approaches or reactivation of the silenced X chromosome open the possibility to re-express the native MeCP2 locus at endogenous levels. Current strategies still face limitations in transduction efficiency and future work is needed to improve brain delivery.
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Affiliation(s)
- Nicolas Panayotis
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel.,Université Paris Cité, CNRS, Saints-Pères Paris Institute for the Neurosciences, Paris, France
| | - Yann Ehinger
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
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7
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Xu YJ, Liu PP, Yan ZZ, Mi TW, Wang YY, Li Q, Teng ZQ, Liu CM. KW-2449 and VPA exert therapeutic effects on human neurons and cerebral organoids derived from MECP2-null hESCs. Stem Cell Res Ther 2022; 13:534. [PMID: 36575558 PMCID: PMC9795779 DOI: 10.1186/s13287-022-03216-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 12/08/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Rett syndrome (RTT), mainly caused by mutations in methyl-CpG binding protein 2 (MECP2), is one of the most prevalent neurodevelopmental disorders in girls. However, the underlying mechanism of MECP2 remains largely unknown and currently there is no effective treatment available for RTT. METHODS We generated MECP2-KO human embryonic stem cells (hESCs), and differentiated them into neurons and cerebral organoids to investigate phenotypes of MECP2 loss-of-function, potential therapeutic agents, and the underlying mechanism by transcriptome sequencing. RESULTS We found that MECP2 deletion caused reduced number of hESCs-derived neurons and simplified dendritic morphology. Moreover, MECP2-KO cortical organoids exhibited fewer neural progenitor cells and neurons at day 60. Electrophysiological recordings showed that MECP2 deletion altered synaptic activity in organoids. Transcriptome analysis of organoids identified many genes in the PI3K-AKT pathway downregulated following MECP2 deletion. Treatment with either KW-2449 or VPA, small molecules for the activation of PI3K-AKT signaling pathway, alleviated neuronal deficits and transcriptome changes in MECP2-KO human neuronal models. CONCLUSIONS These findings suggest that KW-2449 and VPA might be promising drugs for RTT treatment.
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Affiliation(s)
- Ya-Jie Xu
- grid.9227.e0000000119573309State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419Savaid Medical School, University of Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China ,grid.512959.3Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Pei-Pei Liu
- grid.9227.e0000000119573309State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419Savaid Medical School, University of Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China ,grid.512959.3Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Zhong-Ze Yan
- grid.9227.e0000000119573309State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419Savaid Medical School, University of Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China ,grid.512959.3Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Ting-Wei Mi
- grid.9227.e0000000119573309State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
| | - Ying-Ying Wang
- grid.9227.e0000000119573309State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419Savaid Medical School, University of Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China ,grid.512959.3Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Qian Li
- grid.9227.e0000000119573309State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419Savaid Medical School, University of Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China ,grid.512959.3Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Zhao-Qian Teng
- grid.9227.e0000000119573309State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419Savaid Medical School, University of Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China ,grid.512959.3Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Chang-Mei Liu
- grid.9227.e0000000119573309State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419Savaid Medical School, University of Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China ,grid.512959.3Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
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8
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Ji F, Bonilla G, Krykbaev R, Ruvkun G, Tabach Y, Sadreyev RI. DEPCOD: a tool to detect and visualize co-evolution of protein domains. Nucleic Acids Res 2022; 50:W246-W253. [PMID: 35536332 PMCID: PMC9252791 DOI: 10.1093/nar/gkac349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/13/2022] [Accepted: 04/26/2022] [Indexed: 11/14/2022] Open
Abstract
Proteins with similar phylogenetic patterns of conservation or loss across evolutionary taxa are strong candidates to work in the same cellular pathways or engage in physical or functional interactions. Our previously published tools implemented our method of normalized phylogenetic sequence profiling to detect functional associations between non-homologous proteins. However, many proteins consist of multiple protein domains subjected to different selective pressures, so using protein domain as the unit of analysis improves the detection of similar phylogenetic patterns. Here we analyze sequence conservation patterns across the whole tree of life for every protein domain from a set of widely studied organisms. The resulting new interactive webserver, DEPCOD (DEtection of Phylogenetically COrrelated Domains), performs searches with either a selected pre-defined protein domain or a user-supplied sequence as a query to detect other domains from the same organism that have similar conservation patterns. Top similarities on two evolutionary scales (the whole tree of life or eukaryotic genomes) are displayed along with known protein interactions and shared complexes, pathway enrichment among the hits, and detailed visualization of sources of detected similarities. DEPCOD reveals functional relationships between often non-homologous domains that could not be detected using whole-protein sequences. The web server is accessible at http://genetics.mgh.harvard.edu/DEPCOD.
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Affiliation(s)
- Fei Ji
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Gracia Bonilla
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Rustem Krykbaev
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Gary Ruvkun
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Yuval Tabach
- Department of Developmental Biology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Ein Kerem 9112102, Israel
| | - Ruslan I Sadreyev
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.,Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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Labes S, Stupp D, Wagner N, Bloch I, Lotem M, L Lahad E, Polak P, Pupko T, Tabach Y. Machine-learning of complex evolutionary signals improves classification of SNVs. NAR Genom Bioinform 2022; 4:lqac025. [PMID: 35402908 PMCID: PMC8988715 DOI: 10.1093/nargab/lqac025] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 02/08/2022] [Accepted: 03/28/2022] [Indexed: 12/12/2022] Open
Abstract
Conservation is a strong predictor for the pathogenicity of single-nucleotide variants (SNVs). However, some positions that present complex conservation patterns across vertebrates stray from this paradigm. Here, we analyzed the association between complex conservation patterns and the pathogenicity of SNVs in the 115 disease-genes that had sufficient variant data. We show that conservation is not a one-rule-fits-all solution since its accuracy highly depends on the analyzed set of species and genes. For example, pairwise comparisons between the human and 99 vertebrate species showed that species differ in their ability to predict the clinical outcomes of variants among different genes using conservation. Furthermore, certain genes were less amenable for conservation-based variant prediction, while others demonstrated species that optimize prediction. These insights led to developing EvoDiagnostics, which uses the conservation against each species as a feature within a random-forest machine-learning classification algorithm. EvoDiagnostics outperformed traditional conservation algorithms, deep-learning based methods and most ensemble tools in every prediction-task, highlighting the strength of optimizing conservation analysis per-species and per-gene. Overall, we suggest a new and a more biologically relevant approach for analyzing conservation, which improves prediction of variant pathogenicity.
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Affiliation(s)
- Sapir Labes
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, and Hadassah University Medical School, The Hebrew University of Jerusalem, Jerusalem9112001, Israel
| | - Doron Stupp
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, and Hadassah University Medical School, The Hebrew University of Jerusalem, Jerusalem9112001, Israel
| | - Naama Wagner
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Idit Bloch
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, and Hadassah University Medical School, The Hebrew University of Jerusalem, Jerusalem9112001, Israel
| | - Michal Lotem
- Sharett Institute of Oncology, Hadassah University Medical Center, The Hebrew University of Jerusalem, Jerusalem9112001, Israel
| | - Ephrat L Lahad
- Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem9103102, Israel
| | - Paz Polak
- Oncological Sciences, Icahn School of Medicine at Mount Sinai, NY10029, USA
| | - Tal Pupko
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Yuval Tabach
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, and Hadassah University Medical School, The Hebrew University of Jerusalem, Jerusalem9112001, Israel
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