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Podszywalow-Bartnicka P, Neugebauer KM. Multiple roles for AU-rich RNA binding proteins in the development of haematologic malignancies and their resistance to chemotherapy. RNA Biol 2024; 21:1-17. [PMID: 38798162 PMCID: PMC11135835 DOI: 10.1080/15476286.2024.2346688] [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] [Accepted: 04/08/2024] [Indexed: 05/29/2024] Open
Abstract
Post-transcriptional regulation by RNA binding proteins can determine gene expression levels and drive changes in cancer cell proteomes. Identifying mechanisms of protein-RNA binding, including preferred sequence motifs bound in vivo, provides insights into protein-RNA networks and how they impact mRNA structure, function, and stability. In this review, we will focus on proteins that bind to AU-rich elements (AREs) in nascent or mature mRNA where they play roles in response to stresses encountered by cancer cells. ARE-binding proteins (ARE-BPs) specifically impact alternative splicing, stability, decay and translation, and formation of RNA-rich biomolecular condensates like cytoplasmic stress granules (SGs). For example, recent findings highlight the role of ARE-BPs - like TIAR and HUR - in chemotherapy resistance and in translational regulation of mRNAs encoding pro-inflammatory cytokines. We will discuss emerging evidence that different modes of ARE-BP activity impact leukaemia and lymphoma development, progression, adaptation to microenvironment and chemotherapy resistance.
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Affiliation(s)
- Paulina Podszywalow-Bartnicka
- Department of Molecular Biophysics and Biochemistry, Yale School of Medicine, New Haven, CT, USA
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Karla M. Neugebauer
- Department of Molecular Biophysics and Biochemistry, Yale School of Medicine, New Haven, CT, USA
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Chai C, Sui K, Tang J, Yu H, Yang C, Zhang H, Li SC, Zhong JF, Wang Z, Zhang X. BCR-ABL1-driven exosome-miR130b-3p-mediated gap-junction Cx43 MSC intercellular communications imply therapies of leukemic subclonal evolution. Theranostics 2023; 13:3943-3963. [PMID: 37554265 PMCID: PMC10405834 DOI: 10.7150/thno.83178] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 06/12/2023] [Indexed: 08/10/2023] Open
Abstract
Rationale: In the bone marrow microenvironment (BMME), mesenchymal stem/stromal cells (MSCs) control the self-renewal of both healthy and cancerous hematopoietic stem/progenitor cells (HSPCs). We previously showed that in vivo leukemia-derived MSCs change neighbor MSCs into leukemia-permissive states and boost leukemia cell proliferation, survival, and chemotherapy resistance. But the mechanisms behind how the state changes are still not fully understood. Methods: Here, we took a reverse engineering approach to determine BCR-ABL1+ leukemia cells activated transcriptional factor C/EBPβ, resulting in miR130a/b-3p production. Then, we back-tracked from clinical specimen transcriptome sequencing to cell co-culture, molecular and cellular assays, flow cytometry, single-cell transcriptome, and transcriptional regulation to determine the molecular mechanisms of BCR-ABL1-driven exosome-miR130b-3p-mediated gap-junction Cx43 MSC intercellular communications. Results: BCR-ABL1-driven exosome-miR130a/b-3p mediated gap-junction Cx43 (a.k.a., GJA1) BMSC intercellular communications for subclonal evolution in leukemic microenvironment by targeting BMSCs-expressed HLAs, thereby potentially maintaining BMSCs with self-renewal properties and reduced BMSC immunogenicity. The Cx43low and miR-130a/bhigh subclonal MSCs subsets of differentiation state could be reversed to Cx43high and miR-130a/blow subclones of the higher stemness state in Cx43-overexpressed subclonal MSCs. Both miR-130a and miR-130b might only inhibit Cx43 translation or degrade Cx43 proteins and did not affect Cx43 mRNA stability. The subclonal evolution was further confirmed by single-cell transcriptome profiling of MSCs, which suggested that Cx43 regulated their stemness and played normal roles in immunomodulation antigen processing. Thus, upregulated miR-130a/b promoted osteogenesis and adipogenesis from BMSCs, thereby decreasing cancer progression. Our clinical data validated that the expression of many genes in human major histocompatibility was negatively associated with the stemness of MSCs, and several immune checkpoint proteins contributing to immune escape in tumors were overexpressed after either miR-130a or miR-130b overexpression, such as CD274, LAG3, PDCD1, and TNFRSF4. Not only did immune response-related cytokine-cytokine receptor interactions and PI3K-AKT pathways, including EGR3, TNFRSF1B, but also NDRG2 leukemic-associated inflammatory factors, such as IFNB1, CXCL1, CXCL10, and CCL7 manifest upon miR-130a/b overexpression. Either BCR siRNAs or ABL1 siRNAs assay showed significantly decreased miR-130a and miR-130b expression, and chromatin immunoprecipitation sequencing confirmed that the regulation of miR-130a and miR-130b expression is BCR-ABL1-dependent. BCR-ABL1 induces miR-130a/b expression through the upregulation of transcriptional factor C/EBPβ. C/EBPβ could bind directly to the promoter region of miR-130b-3p, not miR-130a-3p. BCR-ABL1-driven exosome-miR130a-3p could interact with Cx43, and further impact GJIC in TME. Conclusion: Our findings shed light on how leukemia BCR-ABL1-driven exosome-miR130b-3p could interact with gap-junction Cx43, and further impact GJIC in TME, implications for leukemic therapies of subclonal evolution.
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Affiliation(s)
- Chengyan Chai
- Medical Center of Hematology, Second Affiliated Hospital, Army Medical University, Chongqing,400037, China
- State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400037, China
- Jinfeng Laboratory, Chongqing, 401329, China
| | - Ke Sui
- Medical Center of Hematology, Second Affiliated Hospital, Army Medical University, Chongqing,400037, China
- State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400037, China
- Jinfeng Laboratory, Chongqing, 401329, China
| | - Jun Tang
- Medical Center of Hematology, Second Affiliated Hospital, Army Medical University, Chongqing,400037, China
| | - Hao Yu
- Medical Center of Hematology, Second Affiliated Hospital, Army Medical University, Chongqing,400037, China
- State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400037, China
| | - Chao Yang
- Medical Center of Hematology, Second Affiliated Hospital, Army Medical University, Chongqing,400037, China
- State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400037, China
| | - Hongyang Zhang
- Medical Center of Hematology, Second Affiliated Hospital, Army Medical University, Chongqing,400037, China
- State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400037, China
| | - Shengwen Calvin Li
- Neuro-Oncology and Stem Cell Research Laboratory, Center for Neuroscience Research, CHOC Children's Research Institute, Children's Hospital of Orange County (CHOC), 1201 La Veta Ave., Orange, CA 92868-3874, United States of America
- Department of Neurology, University of California-Irvine School of Medicine, 200 S. Manchester Ave. Ste. 206, Orange, CA 92868, United States of America
| | - Jiang F. Zhong
- Department of Basic Sciences, Loma Linda University, Loma Linda, California, 92354, United States of America
| | - Zheng Wang
- Medical Center of Hematology, Second Affiliated Hospital, Army Medical University, Chongqing,400037, China
- State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400037, China
- Jinfeng Laboratory, Chongqing, 401329, China
| | - Xi Zhang
- Medical Center of Hematology, Second Affiliated Hospital, Army Medical University, Chongqing,400037, China
- State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400037, China
- Jinfeng Laboratory, Chongqing, 401329, China
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Xin P, Li M, Dong J, Zhu H, Li J. Bioinformatics gene analysis of potential biomarkers and therapeutic targets of osteoarthritis associated myelodysplastic syndrome. Front Genet 2023; 13:1040438. [PMID: 36968004 PMCID: PMC10034022 DOI: 10.3389/fgene.2022.1040438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/28/2022] [Indexed: 03/12/2023] Open
Abstract
Objective: Osteoarthritis (OA) and Myelodysplastic syndrome (MDS) are diseases caused by the same immune disorder with unclear etiology and many similarities in clinical manifestations; however, the specific mechanisms between osteoarthritis and myelodysplastic syndrome are unclear.Methods: The expression profile microarrays of osteoarthritis and myelodysplastic syndrome were searched in the GEO database, the intersection of their differential genes was taken, Venn diagrams were constructed to find common pathogenic genes, bioinformatics analysis signaling pathway analysis was performed on the obtained genes, and protein-protein interaction networks were constructed to find hub genes in order to establish diagnostic models for each disease and explore the immune infiltration of hub genes.Results: 52 co-pathogenic genes were screened for association with immune regulation, immune response, and inflammation. The mean area under the receiver operating characteristic (ROC) for all 10 genes used for co-causal diagnosis ranged from 0.71–0.81. Immune cell infiltration analysis in the myelodysplastic syndrome subgroup showed that the relative numbers of Macrophages M1, B cells memory, and T cells CD4 memory resting in the myelodysplastic syndrome group were significantly different from the normal group, however, in the osteoarthritis subgroup the relative numbers of Mast cells resting in the osteoarthritis subgroup was significantly different from the normal group.Conclusion: There are common pathogenic genes in osteoarthritis and myelodysplastic syndrome, which in turn mediate differential alterations in related signaling pathways and immune cells, affecting the high prevalence of osteoarthritis and myelodysplastic syndrome and the two disease phenomena.
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Affiliation(s)
- Peicheng Xin
- Department of Orthopedics, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Ming Li
- Department of Orthopedics, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Jing Dong
- Department of Hematology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Hongbo Zhu
- Department of Hematology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Jie Li
- Department of Hematology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
- *Correspondence: Jie Li,
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Targeting Transcription Factors ATF5, CEBPB and CEBPD with Cell-Penetrating Peptides to Treat Brain and Other Cancers. Cells 2023; 12:cells12040581. [PMID: 36831248 PMCID: PMC9954556 DOI: 10.3390/cells12040581] [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: 01/17/2023] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
Developing novel therapeutics often follows three steps: target identification, design of strategies to suppress target activity and drug development to implement the strategies. In this review, we recount the evidence identifying the basic leucine zipper transcription factors ATF5, CEBPB, and CEBPD as targets for brain and other malignancies. We describe strategies that exploit the structures of the three factors to create inhibitory dominant-negative (DN) mutant forms that selectively suppress growth and survival of cancer cells. We then discuss and compare four peptides (CP-DN-ATF5, Dpep, Bpep and ST101) in which DN sequences are joined with cell-penetrating domains to create drugs that pass through tissue barriers and into cells. The peptide drugs show both efficacy and safety in suppressing growth and in the survival of brain and other cancers in vivo, and ST101 is currently in clinical trials for solid tumors, including GBM. We further consider known mechanisms by which the peptides act and how these have been exploited in rationally designed combination therapies. We additionally discuss lacunae in our knowledge about the peptides that merit further research. Finally, we suggest both short- and long-term directions for creating new generations of drugs targeting ATF5, CEBPB, CEBPD, and other transcription factors for treating brain and other malignancies.
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Li Z, Lu Z, Hu C, Zhang Y, Chen Y, Zhang J, Guo F, Wang J, Tang Z, Tang F, He Z. A Machine Learning Analysis of Prognostic Genes Associated With Allograft Tolerance After Renal Transplantation. Cell Transplant 2023; 32:9636897231195116. [PMID: 37650419 PMCID: PMC10475226 DOI: 10.1177/09636897231195116] [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: 05/03/2023] [Revised: 07/22/2023] [Accepted: 08/01/2023] [Indexed: 09/01/2023] Open
Abstract
In this study, we aimed to identify transplantation tolerance (TOL)-related gene signature and use it to predict the different types of renal allograft rejection performances in kidney transplantation. Gene expression data were obtained from the Gene Expression Omnibus (GEO) database, differently expressed genes (DEGs) were performed, and the gene ontology (GO) function enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were also conducted. The machine learning methods were combined to analyze the feature TOL-related genes and verify their predictive performance. Afterward, the gene expression levels and predictive performances of TOL-related genes were conducted in the context of acute rejection (AR), chronic rejection (CR), and graft loss through heatmap plots and the receiver operating characteristic (ROC) curves, and their respective immune infiltration results were also performed. Furthermore, the TOL-related gene signature for graft survival was conducted to discover gene immune cell enrichment. A total of 25 TOL-related DEGs were founded, and the GO and KEGG results indicated that DEGs mainly enriched in B cell-related functions and pathways. 7 TOL-related gene signature was constructed and performed delightedly in TOL groups and different types of allograft rejection. The immune infiltration analysis suggested that gene signature was correlated with different types of immune cells. The Kaplan-Meier (KM) survival analysis demonstrated that BLNK and MZB1 were the prognostic TOL-related genes. Our study proposed a novel gene signature that may influence TOL in kidney transplantation, providing possible guidance for immunosuppressive therapy in kidney transplant patients.
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Affiliation(s)
- Zhibiao Li
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zechao Lu
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Chuxian Hu
- The Sixth Clinical College of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yixin Zhang
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Clinical Research Center for Urological Diseases, Guangzhou, Guangdong, China
| | - Yushu Chen
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jiahao Zhang
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Feng Guo
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinjin Wang
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhicheng Tang
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Fucai Tang
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhaohui He
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
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Sologova SS, Zavadskiy SP, Mokhosoev IM, Moldogazieva NT. Short Linear Motifs Orchestrate Functioning of Human Proteins during Embryonic Development, Redox Regulation, and Cancer. Metabolites 2022; 12:metabo12050464. [PMID: 35629968 PMCID: PMC9144484 DOI: 10.3390/metabo12050464] [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: 04/22/2022] [Revised: 05/18/2022] [Accepted: 05/19/2022] [Indexed: 11/16/2022] Open
Abstract
Short linear motifs (SLiMs) are evolutionarily conserved functional modules of proteins that represent amino acid stretches composed of 3 to 10 residues. The biological activities of two short peptide segments of human alpha-fetoprotein (AFP), a major embryo-specific and cancer-related protein, have been confirmed experimentally. This is a heptapeptide segment LDSYQCT in domain I designated as AFP14–20 and a nonapeptide segment EMTPVNPGV in domain III designated as GIP-9. In our work, we searched the UniprotKB database for human proteins that contain SLiMs with sequence similarity to the both segments of human AFP and undertook gene ontology (GO)-based functional categorization of retrieved proteins. Gene set enrichment analysis included GO terms for biological process, molecular function, metabolic pathway, KEGG pathway, and protein–protein interaction (PPI) categories. We identified the SLiMs of interest in a variety of non-homologous proteins involved in multiple cellular processes underlying embryonic development, cancer progression, and, unexpectedly, the regulation of redox homeostasis. These included transcription factors, cell adhesion proteins, ubiquitin-activating and conjugating enzymes, cell signaling proteins, and oxidoreductase enzymes. They function by regulating cell proliferation and differentiation, cell cycle, DNA replication/repair/recombination, metabolism, immune/inflammatory response, and apoptosis. In addition to the retrieved genes, new interacting genes were identified. Our data support the hypothesis that conserved SLiMs are incorporated into non-homologous proteins to serve as functional blocks for their orchestrated functioning.
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Affiliation(s)
- Susanna S. Sologova
- Nelyubin Institute of Pharmacy, Sechenov First Moscow State Medical University, (Sechenov University), 119991 Moscow, Russia; (S.S.S.); (S.P.Z.)
| | - Sergey P. Zavadskiy
- Nelyubin Institute of Pharmacy, Sechenov First Moscow State Medical University, (Sechenov University), 119991 Moscow, Russia; (S.S.S.); (S.P.Z.)
| | - Innokenty M. Mokhosoev
- Department of Biochemistry and Molecular Biology, Pirogov Russian National Research Medical University, 117997 Moscow, Russia;
| | - Nurbubu T. Moldogazieva
- Nelyubin Institute of Pharmacy, Sechenov First Moscow State Medical University, (Sechenov University), 119991 Moscow, Russia; (S.S.S.); (S.P.Z.)
- Correspondence:
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