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Liu H, Xie Y, Ji Y, Zhou Y, Xu J, Tang J, Liu N, Ding H, Qin W, Liu F, Yu C. Identification of genetic architecture shared between schizophrenia and Alzheimer's disease. Transl Psychiatry 2025; 15:150. [PMID: 40240757 PMCID: PMC12003746 DOI: 10.1038/s41398-025-03348-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 03/15/2025] [Accepted: 03/24/2025] [Indexed: 04/18/2025] Open
Abstract
Both schizophrenia (SCZ) and Alzheimer's disease (AD) are highly heritable brain disorders. Despite of the observed comorbidity and shared psychosis and cognitive decline between the two disorders, the genetic risk architecture shared by SCZ and AD remains largely unknown. Based on summary statistics of the currently available largest genome-wide association studies for SCZ (n = 130,644) and AD (n = 455,258) in individuals of European ancestry, we conducted conditional/conjunctional false discovery rate (FDR) analysis to enhance the statistical power for discovering more genetic associations with SCZ or AD and to detect the common genetic variants shared by both disorders. We found shared genetic architecture in SCZ conditioned on AD and vice versa across different levels of significance, indicating polygenic overlap. We found 268 (78 novel) SCZ-only and 125 (55 novel) AD-only SNPs at conditional FDR < 0.01, and 16 lead SNPs shared by SCZ and AD at conjunctional FDR < 0.05. Only half of the shared SNPs showed concordant effect direction, which was consistent with the modest genetic correlation (r = 0.097; P = 0.026) between the two disorders. This study provides evidence for polygenic overlap between SCZ and AD, suggesting the existence of the shared molecular genetic mechanisms, which may inform therapeutic targets that are applicable for both disorders.
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Affiliation(s)
- Huaigui Liu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yingying Xie
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yuan Ji
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yujing Zhou
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Jiayuan Xu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jie Tang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Nana Liu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Hao Ding
- School of Medical Imaging, Tianjin Medical University, Tianjin, China
| | - Wen Qin
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China.
| | - Feng Liu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China.
| | - Chunshui Yu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China.
- State Key Laboratory of Experimental Hematology, Tianjin, China.
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Baya NA, Erdem IS, Venkatesh SS, Reibe S, Charles PD, Navarro-Guerrero E, Hill B, Lassen FH, Claussnitzer M, Palmer DS, Lindgren CM. Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2024.09.19.24313913. [PMID: 39371160 PMCID: PMC11451655 DOI: 10.1101/2024.09.19.24313913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
Overall adiposity and body fat distribution are heritable traits associated with altered risk of cardiometabolic disease and mortality. Performing rare variant (minor allele frequency<1%) association testing using exome-sequencing data from 402,375 participants in the UK Biobank (UKB) for nine overall and tissue-specific fat distribution traits, we identified 19 genes where putatively damaging rare variation associated with at least one trait (Bonferroni-adjusted P <1.58×10 -7 ) and 50 additional genes at FDR≤1% ( P ≤4.37×10 -5 ). These 69 genes exhibited significantly higher (one-sided t -test P =3.58×10 -18 ) common variant prioritisation scores than genes not significantly enriched for rare putatively damaging variation, with evidence of monotonic allelic series (dose-response relationships) among ultra-rare variants (minor allele count≤10) in 22 genes. Combining rare and common variation evidence, allelic series and longitudinal analysis, we selected 14 genes for CRISPR knockdown in human white adipose tissue cell lines. In three previously uncharacterised target genes, knockdown increased (two-sided t -test P <0.05) lipid accumulation, a cellular phenotype relevant for fat mass traits, compared to Cas9-empty negative controls: COL5A3 (fold change [FC]=1.72, P =0.0028), EXOC7 (FC=1.35, P =0.0096), and TRIP10 (FC=1.39, P =0.0157); furthermore, knockdown of PPARG (FC=0.25, P =5.52×10 -7 ) and SLTM (FC=0.51, P =1.91×10 -4 ) resulted in reduced lipid accumulation. Integrating across population-based genetic and in vitro functional evidence, we highlight therapeutic avenues for altering obesity and body fat distribution by modulating lipid accumulation.
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Gu S, Zheng Y, Chen C, Liu J, Wang Y, Wang J, Li Y. Research progress on the molecular mechanisms of Saikosaponin D in various diseases (Review). Int J Mol Med 2025; 55:37. [PMID: 39717942 PMCID: PMC11722148 DOI: 10.3892/ijmm.2024.5478] [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: 09/20/2024] [Accepted: 12/04/2024] [Indexed: 12/25/2024] Open
Abstract
Bupleurum, a Traditional Chinese Medicine (TCM) herb, is widely used in China and other Asian countries to manage chronic liver inflammation and viral hepatitis. Saikosaponin D (SSD), a triterpenoid saponin extracted from Bupleurum, exhibits extensive pharmacological properties, including anti‑inflammatory, antioxidant, anti‑apoptotic, anti‑fibrotic and anti‑cancer effects, making it a therapeutic candidate for numerous diseases. Clarifying the targets and molecular mechanisms underlying TCM compounds is essential for scientifically validating TCM's therapeutic roles in disease prevention and treatment, as well as for identifying novel therapeutic targets and lead compounds. This analysis comprehensively examines SSD's mechanisms across various conditions, such as myocardial injury, pulmonary diseases, hepatic disorders, renal pathologies, neurological disorders, diabetes and cancer. In addition, challenges and potential solutions encountered in SSD research are addressed. SSD is posited as a promising monomer for multifaceted therapeutic applications and this article aims to enhance researchers' understanding of the current landscape of SSD studies, offering strategic insights to guide future investigations.
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Affiliation(s)
- Simin Gu
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, P.R. China
| | - Yiyuan Zheng
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, P.R. China
| | - Chong Chen
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, P.R. China
| | - Jing Liu
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, P.R. China
| | - Yanping Wang
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, P.R. China
| | - Junmin Wang
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, P.R. China
| | - Yong Li
- Department of Gastroenterology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, P.R. China
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Skarżyńska W, Baran B, Niewiadomski P. The Hira complex regulates Gli3R-dependent transcription in Hedgehog signaling and medulloblastoma cell growth and migration. Sci Rep 2025; 15:324. [PMID: 39747140 PMCID: PMC11697252 DOI: 10.1038/s41598-024-83468-3] [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: 05/29/2024] [Accepted: 12/16/2024] [Indexed: 01/04/2025] Open
Abstract
Regulation of the Hedgehog pathway activity may be supported by coactivators and corepresors of its main effectors- Gli transcription factors. While activation processes are well studied, repression mechanisms remain elusive. We identified chromatin remodelling complex Hira to interact with Gli3R protein, showed that its loss-of-function changes Hh pathway activity, and examined possible mechanism behind the observed effect. We also established that Hira influences the viability and migratory abilities of Hh-dependent medulloblastoma Daoy cells. Our study paves the way for a better understanding of processes involved in Hh pathway regulation and Hh-dependent carcinogenesis.
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Affiliation(s)
- Weronika Skarżyńska
- Centre of New Technologies, University of Warsaw, Warsaw, Poland
- Faculty of Biology, University of Warsaw, Warsaw, Poland
| | - Brygida Baran
- Centre of New Technologies, University of Warsaw, Warsaw, Poland
- Faculty of Biology, University of Warsaw, Warsaw, Poland
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5
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Jia R, Meng D, Geng W. Advances in the anti-tumor mechanisms of saikosaponin D. Pharmacol Rep 2024; 76:780-792. [PMID: 38965200 DOI: 10.1007/s43440-024-00569-6] [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: 09/16/2023] [Revised: 01/24/2024] [Accepted: 01/25/2024] [Indexed: 07/06/2024]
Abstract
Saikosaponin D, a saponin compound, is extracted from Bupleurum and is a principal active component of the plant. It boasts a variety of pharmacologic effects including anti-inflammatory, antioxidant, immunomodulatory, metabolic, and anti-tumor properties, drawing significant attention in anti-tumor research in recent years. Research indicates that saikosaponin D inhibits the proliferation of numerous tumor cells, curbing the progression of cancers such as liver, pancreatic, lung, glioma, ovarian, thyroid, stomach, and breast cancer. Its anti-tumor mechanisms largely involve inhibiting tumor cell proliferation, promoting tumor cell apoptosis, thwarting tumor-cell invasion, and modulating tumor cell autophagy. Moreover, saikosaponin D enhances the sensitivity to anti-tumor drugs and augments body immunity. Given its multi-faceted anti-tumor roles, saikosaponin D offers promising potential in anti-tumor therapy. This paper reviews recent studies on its anti-tumor effects, aiming to furnish new theoretical insights for clinical cancer treatments.
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Affiliation(s)
- Ruixue Jia
- School of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China
| | - Dandan Meng
- School of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China
| | - Wei Geng
- Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, 250014, China.
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Wu MY, Forcina G, Low GW, Sadanandan KR, Gwee CY, van Grouw H, Wu S, Edwards SV, Baldwin MW, Rheindt FE. Historic samples reveal loss of wild genotype through domestic chicken introgression during the Anthropocene. PLoS Genet 2023; 19:e1010551. [PMID: 36656838 PMCID: PMC9851510 DOI: 10.1371/journal.pgen.1010551] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 11/30/2022] [Indexed: 01/20/2023] Open
Abstract
Human activities have precipitated a rise in the levels of introgressive gene flow among animals. The investigation of conspecific populations at different time points may shed light on the magnitude of human-mediated introgression. We used the red junglefowl Gallus gallus, the wild ancestral form of the chicken, as our study system. As wild junglefowl and domestic chickens readily admix, conservationists fear that domestic introgression into junglefowl may compromise their wild genotype. By contrasting the whole genomes of 51 chickens with 63 junglefowl from across their natural range, we found evidence of a loss of the wild genotype across the Anthropocene. When comparing against the genomes of junglefowl from approximately a century ago using rigorous ancient-DNA protocols, we discovered that levels of domestic introgression are not equal among and within modern wild populations, with the percentage of domestic ancestry around 20-50%. We identified a number of domestication markers in which chickens are deeply differentiated from historic junglefowl regardless of breed and/or geographic provenance, with eight genes under selection. The latter are involved in pathways dealing with development, reproduction and vision. The wild genotype is an allelic reservoir that holds most of the genetic diversity of G. gallus, a species which is immensely important to human society. Our study provides fundamental genomic infrastructure to assist in efforts to prevent a further loss of the wild genotype through introgression of domestic alleles.
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Affiliation(s)
- Meng Yue Wu
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Giovanni Forcina
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Gabriel Weijie Low
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Keren R. Sadanandan
- Evolution of Sensory Systems Research Group, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Chyi Yin Gwee
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Hein van Grouw
- Bird Group, Department of Life Sciences, Natural History Museum, Tring, United Kingdom
| | - Shaoyuan Wu
- Department of Biochemistry and Molecular Biology, Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, Chin
- Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics, School of Life Sciences, Jiangsu Normal University, Xuzhou, China
| | - Scott V. Edwards
- Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Maude W. Baldwin
- Evolution of Sensory Systems Research Group, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Frank E. Rheindt
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
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Lee S, Kim H, Hong A, Song J, Lee S, Kim M, Hwang SY, Jeong D, Kim J, Son A, Lee YS, Kim VN, Kim JS, Chang H, Ahn K. Functional and molecular dissection of HCMV long non-coding RNAs. Sci Rep 2022; 12:19303. [PMID: 36369338 PMCID: PMC9652368 DOI: 10.1038/s41598-022-23317-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/29/2022] [Indexed: 11/13/2022] Open
Abstract
Small, compact genomes confer a selective advantage to viruses, yet human cytomegalovirus (HCMV) expresses the long non-coding RNAs (lncRNAs); RNA1.2, RNA2.7, RNA4.9, and RNA5.0. Little is known about the function of these lncRNAs in the virus life cycle. Here, we dissected the functional and molecular landscape of HCMV lncRNAs. We found that HCMV lncRNAs occupy ~ 30% and 50-60% of total and poly(A)+viral transcriptome, respectively, throughout virus life cycle. RNA1.2, RNA2.7, and RNA4.9, the three abundantly expressed lncRNAs, appear to be essential in all infection states. Among these three lncRNAs, depletion of RNA2.7 and RNA4.9 results in the greatest defect in maintaining latent reservoir and promoting lytic replication, respectively. Moreover, we delineated the global post-transcriptional nature of HCMV lncRNAs by nanopore direct RNA sequencing and interactome analysis. We revealed that the lncRNAs are modified with N6-methyladenosine (m6A) and interact with m6A readers in all infection states. In-depth analysis demonstrated that m6A machineries stabilize HCMV lncRNAs, which could account for the overwhelming abundance of viral lncRNAs. Our study lays the groundwork for understanding the viral lncRNA-mediated regulation of host-virus interaction throughout the HCMV life cycle.
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Affiliation(s)
- Sungwon Lee
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Hyewon Kim
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Ari Hong
- grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea ,grid.31501.360000 0004 0470 5905Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826 Republic of Korea
| | - Jaewon Song
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Sungyul Lee
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Myeonghwan Kim
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Sung-yeon Hwang
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Dongjoon Jeong
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Jeesoo Kim
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Ahyeon Son
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Young-suk Lee
- grid.37172.300000 0001 2292 0500Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of Korea
| | - V. Narry Kim
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Jong-seo Kim
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
| | - Hyeshik Chang
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea ,grid.31501.360000 0004 0470 5905Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826 Republic of Korea
| | - Kwangseog Ahn
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea ,grid.410720.00000 0004 1784 4496Institute for Basic Science, Center for RNA Research, Seoul, 08826 Republic of Korea
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Cavalcante LTDF, da Fonseca GC, Amado Leon LA, Salvio AL, Brustolini OJ, Gerber AL, Guimarães APDC, Marques CAB, Fernandes RA, Ramos Filho CHF, Kader RL, Pimentel Amaro M, da Costa Gonçalves JP, Vieira Alves-Leon S, Vasconcelos ATR. Buffy Coat Transcriptomic Analysis Reveals Alterations in Host Cell Protein Synthesis and Cell Cycle in Severe COVID-19 Patients. Int J Mol Sci 2022; 23:13588. [PMID: 36362378 PMCID: PMC9659271 DOI: 10.3390/ijms232113588] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 11/25/2023] Open
Abstract
Transcriptome studies have reported the dysregulation of cell cycle-related genes and the global inhibition of host mRNA translation in COVID-19 cases. However, the key genes and cellular mechanisms that are most affected by the severe outcome of this disease remain unclear. For this work, the RNA-seq approach was used to study the differential expression in buffy coat cells of two groups of people infected with SARS-CoV-2: (a) Mild, with mild symptoms; and (b) SARS (Severe Acute Respiratory Syndrome), who were admitted to the intensive care unit with the severe COVID-19 outcome. Transcriptomic analysis revealed 1009 up-regulated and 501 down-regulated genes in the SARS group, with 10% of both being composed of long non-coding RNA. Ribosome and cell cycle pathways were enriched among down-regulated genes. The most connected proteins among the differentially expressed genes involved transport dysregulation, proteasome degradation, interferon response, cytokinesis failure, and host translation inhibition. Furthermore, interactome analysis showed Fibrillarin to be one of the key genes affected by SARS-CoV-2. This protein interacts directly with the N protein and long non-coding RNAs affecting transcription, translation, and ribosomal processes. This work reveals a group of dysregulated processes, including translation and cell cycle, as key pathways altered in severe COVID-19 outcomes.
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Affiliation(s)
| | | | - Luciane Almeida Amado Leon
- Laboratório de Desenvolvimento Tecnológico em Virologia, Instituto Oswaldo Cruz/FIOCRUZ, Rio de Janeiro 21040-360, Brazil
| | - Andreza Lemos Salvio
- Laboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil
| | - Otávio José Brustolini
- Laboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil
| | - Alexandra Lehmkuhl Gerber
- Laboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil
| | - Ana Paula de Campos Guimarães
- Laboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil
| | - Carla Augusta Barreto Marques
- Laboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil
- Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
| | - Renan Amphilophio Fernandes
- Laboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil
| | | | - Rafael Lopes Kader
- Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
| | - Marisa Pimentel Amaro
- Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
| | - João Paulo da Costa Gonçalves
- Laboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil
- Yale New Haven Hospital, New Haven, CT 06510, USA
| | - Soniza Vieira Alves-Leon
- Laboratório de Neurociências Translacional, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro 20211-040, Brazil
- Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
| | - Ana Tereza Ribeiro Vasconcelos
- Laboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Rio de Janeiro 25651-076, Brazil
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Matissek SJ, Elsawa SF. GLI3: a mediator of genetic diseases, development and cancer. Cell Commun Signal 2020; 18:54. [PMID: 32245491 PMCID: PMC7119169 DOI: 10.1186/s12964-020-00540-x] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 02/27/2020] [Indexed: 02/07/2023] Open
Abstract
The transcription factor GLI3 is a member of the Hedgehog (Hh/HH) signaling pathway that can exist as a full length (Gli3-FL/GLI3-FL) or repressor (Gli3-R/GLI3-R) form. In response to HH activation, GLI3-FL regulates HH genes by targeting the GLI1 promoter. In the absence of HH signaling, GLI3 is phosphorylated leading to its partial degradation and the generation of GLI3-R which represses HH functions. GLI3 is also involved in tissue development, immune cell development and cancer. The absence of Gli3 in mice impaired brain and lung development and GLI3 mutations in humans are the cause of Greig cephalopolysyndactyly (GCPS) and Pallister Hall syndromes (PHS). In the immune system GLI3 regulates B, T and NK-cells and may be involved in LPS-TLR4 signaling. In addition, GLI3 was found to be upregulated in multiple cancers and was found to positively regulate cancerous behavior such as anchorage-independent growth, angiogenesis, proliferation and migration with the exception in acute myeloid leukemia (AML) and medulloblastoma where GLI plays an anti-cancerous role. Finally, GLI3 is a target of microRNA. Here, we will review the biological significance of GLI3 and discuss gaps in our understanding of this molecule. Video Abstract.
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Affiliation(s)
- Stephan J. Matissek
- Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, 46 College Rd Rudman 291, Durham, NH 03824 USA
| | - Sherine F. Elsawa
- Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, 46 College Rd Rudman 291, Durham, NH 03824 USA
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Zhang CY, Jiang ZM, Ma XF, Li Y, Liu XZ, Li LL, Wu WH, Wang T. Saikosaponin-d Inhibits the Hepatoma Cells and Enhances Chemosensitivity Through SENP5-Dependent Inhibition of Gli1 SUMOylation Under Hypoxia. Front Pharmacol 2019; 10:1039. [PMID: 31616295 PMCID: PMC6764240 DOI: 10.3389/fphar.2019.01039] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 08/16/2019] [Indexed: 12/20/2022] Open
Abstract
Chemosensitivity is one of the key factors affecting the therapeutic effect on cancer, but the clinical application of corresponding drugs is rare. Hypoxia, a common feature of many solid tumors, including hepatocellular carcinoma (HCC), has been associated with resistance to chemotherapy in part through the activation of the Sonic Hedgehog (SHh) pathway. Hypoxia has also been associated with the increased SUMOylation of multiple proteins, including GLI family proteins, which are key mediators of SHh signaling, and has become a promising target to develop drug-resistant drugs for cancer treatment. However, there are few target drugs to abrogate chemotherapy resistance. Saikosaponin-d (Ssd), one of the main bioactive components of Radix bupleuri, has been reported to exert multiple biological effects, including anticancer activity. Here, we first found that Ssd inhibits the malignant phenotype of HCC cells while increasing their sensitivity to the herpes simplex virus thymidine kinase/ganciclovir (HSVtk/GCV) drug system under hypoxia in vitro and in vivo. Furthermore, we had explored that GLI family activation and extensive protein SUMOylation were characteristics of HCC cells, and hypoxia could activate the SHh pathway and promote epithelial-mesenchymal transition (EMT), invasion, and chemosensitivity in HCC cells. SUMOylation is required for hypoxia-dependent activation of GLI proteins. Finally, we found that Ssd could reverse the effects promoted by hypoxia, specifically active sentrin/small ubiquitin-like modifier (SUMO)-specific protease 5 (SENP5), a SUMO-specific protease, in a time- and dose-dependent manner while inhibiting the expression of SUMO1 and GLI proteins. Together, these findings confirm the important role of Ssd in the chemoresistance of liver cancer, provide some data support for further understanding the molecular mechanisms of Ssd inhibition of malignant transformation of HCC cells, and provide a new perspective for the application of traditional Chinese medicine in the chemical resistance of liver cancer.
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Affiliation(s)
- Chun-Yan Zhang
- Department of Pharmacy, Tianjin Binhai New Area Hospital of Traditional Chinese Medicine, Tianjin, China.,Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhong-Min Jiang
- Department of Pathology, The Fifth Central Hospital of Tianjin, Tianjin, China
| | - Xiao-Fang Ma
- Central Laboratory, The Fifth Central Hospital of Tianjin, Tianjin, China
| | - Yue Li
- Department of Pharmacy, Tianjin Binhai New Area Hospital of Traditional Chinese Medicine, Tianjin, China
| | - Xiao-Zhi Liu
- Central Laboratory, The Fifth Central Hospital of Tianjin, Tianjin, China
| | - Li-Li Li
- Department of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.,National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.,Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Wen-Han Wu
- Department of General Surgery, Peking University First Hospital, Beijing, China.,Department of General Surgery, The Fifth Central Hospital of Tianjin, Tianjin, China
| | - Tao Wang
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Han Y, Wang B, Cho YS, Zhu J, Wu J, Chen Y, Jiang J. Phosphorylation of Ci/Gli by Fused Family Kinases Promotes Hedgehog Signaling. Dev Cell 2019; 50:610-626.e4. [PMID: 31279575 DOI: 10.1016/j.devcel.2019.06.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 04/12/2019] [Accepted: 06/05/2019] [Indexed: 12/13/2022]
Abstract
Hedgehog (Hh) signaling culminates in the conversion of the latent transcription factor Cubitus interruptus (Ci)/Gli into its activator form (CiA/GliA), but the underlying mechanism remains poorly understood. Here, we demonstrate that Hh stimulates the phosphorylation of Ci by the Ser/Thr kinase Fused (Fu) and that Fu-mediated phosphorylation of Ci promotes its activation. We find that Fu directly phosphorylates Ci on Ser218 and Ser1230, which primes its further phosphorylation by CK1 on adjacent sties. These phosphorylation events alter Ci binding to the pathway inhibitor Suppressor of fused (Sufu) and facilitate the recruitment of Transportion and the transcriptional coactivator CBP. Furthermore, we provide evidence that Sonic hedgehog (Shh) activates Gli2 by stimulating its phosphorylation on conserved sites through the Fu-family kinases ULK3 and mFu/STK36 in a manner depending on Gli2 ciliary localization. Hence, Fu-family kinase-mediated phosphorylation of Ci/Gli serves as a conserved mechanism that activates the Hh pathway transcription factor.
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Affiliation(s)
- Yuhong Han
- Department of Molecular Biology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Bing Wang
- Department of Molecular Biology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Yong Suk Cho
- Department of Molecular Biology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Jian Zhu
- Department of Molecular Biology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA; Laboratory of Molecular Oncology, School of Laboratory Medicine, Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, Xinxiang Medical University, Henan Province, Xinxiang 453003, China
| | - Jiang Wu
- Department of Physiology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Yongbin Chen
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 Jiaochang Donglu, Yunnan, Kunming 650223, China
| | - Jin Jiang
- Department of Molecular Biology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA; Department of Pharmacology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA.
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