1
|
Freie B, Carroll PA, Varnum-Finney BJ, Ramsey EL, Ramani V, Bernstein I, Eisenman RN. A germline point mutation in the MYC-FBW7 phosphodegron initiates hematopoietic malignancies. Genes Dev 2024; 38:253-272. [PMID: 38565249 PMCID: PMC11065175 DOI: 10.1101/gad.351292.123] [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: 10/23/2023] [Accepted: 03/19/2024] [Indexed: 04/04/2024]
Abstract
Oncogenic activation of MYC in cancers predominantly involves increased transcription rather than coding region mutations. However, MYC-dependent lymphomas frequently acquire point mutations in the MYC phosphodegron, including at threonine 58 (T58), where phosphorylation permits binding via the FBW7 ubiquitin ligase triggering MYC degradation. To understand how T58 phosphorylation functions in normal cell physiology, we introduced an alanine mutation at T58 (T58A) into the endogenous c-Myc locus in the mouse germline. While MYC-T58A mice develop normally, lymphomas and myeloid leukemias emerge in ∼60% of adult homozygous T58A mice. We found that primitive hematopoietic progenitor cells from MYC-T58A mice exhibit aberrant self-renewal normally associated with hematopoietic stem cells (HSCs) and up-regulate a subset of MYC target genes important in maintaining stem/progenitor cell balance. In lymphocytes, genomic occupancy by MYC-T58A was increased at all promoters compared with WT MYC, while genes differentially expressed in a T58A-dependent manner were significantly more proximal to MYC-bound enhancers. MYC-T58A lymphocyte progenitors exhibited metabolic alterations and decreased activation of inflammatory and apoptotic pathways. Our data demonstrate that a single point mutation stabilizing MYC is sufficient to skew target gene expression, producing a profound gain of function in multipotential hematopoietic progenitors associated with self-renewal and initiation of lymphomas and leukemias.
Collapse
Affiliation(s)
- Brian Freie
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington 98109, USA;
| | - Patrick A Carroll
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington 98109, USA
| | | | - Erin L Ramsey
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington 98109, USA
| | - Vijay Ramani
- Gladstone Institute for Data Science and Biotechnology, University of California, San Francisco, San Francisco, California 94158, USA
| | - Irwin Bernstein
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington 98109, USA
| | - Robert N Eisenman
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington 98109, USA;
| |
Collapse
|
2
|
Inyang I, White HE, Timme K, Keating AF. Biological sex differences in hepatic response to in utero dimethylbenz(a)anthracene exposure. Reprod Toxicol 2024; 124:108553. [PMID: 38307155 DOI: 10.1016/j.reprotox.2024.108553] [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: 09/19/2023] [Revised: 01/24/2024] [Accepted: 01/26/2024] [Indexed: 02/04/2024]
Abstract
Fetal hepatic dimethylbenz(a)anthracene (DMBA) biotransformation is not defined, thus, this study investigated whether the fetal liver metabolizes DMBA and differs with biological sex. KK.Cg-a/a (lean; n = 20) or KK.Cg-Ay/J (obese; n = 20) pregnant mice were exposed to corn oil (CT) or DMBA (1 mg/kg bw/day) by intraperitoneal injection (n = 10/treatment) from gestation day 7-14. Postnatal day 2 male or female offspring livers were collected. Total RNA (n = 6) and protein (n = 6) were analyzed via a PCR-based array or LC-MS/MS, respectively. The level of Mgst3 was lower (P < 0.05) in livers of female compared to male offspring. Furthermore, in utero DMBA exposure increased (P < 0.1) Cyp2c29 and Gpx3 levels (P < 0.05) in female offspring. In male offspring, the abundance of Ahr, Comt (P < 0.1), Alox5, and Asna1 (P < 0.05) decreased due to DMBA exposure. Female and male offspring had 34 and 21 hepatic proteins altered (P < 0.05) by in utero DMBA exposure, respectively. Opposing patterns for hepatic CD81 and KRT78 occurred, being decreased in females but increased in males, while YWHAG was decreased by DMBA exposure in both. Functional KEGG pathway analysis identified enrichment of 26 and 13 hepatic metabolic proteins in male and female offspring, respectively, due to in utero DMBA exposure. In silico transcription factor analysis of differentially expressed proteins predicted involvement of female NRF1 but male AHR. Thus, hepatic biological sex differences and capacity to respond to toxicants in utero are supported.
Collapse
Affiliation(s)
| | - Hunter E White
- Department of Animal Science, Iowa State University, USA
| | - Kelsey Timme
- Department of Animal Science, Iowa State University, USA
| | | |
Collapse
|
3
|
Wu H, Xia L, Sun L, Li D, Liu X, Song H, Sheng J, Wang K, Feng Q. RPL35A drives ovarian cancer progression by promoting the binding of YY1 to CTCF promoter. J Cell Mol Med 2024; 28:e18115. [PMID: 38436544 PMCID: PMC10910871 DOI: 10.1111/jcmm.18115] [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: 07/19/2023] [Revised: 12/20/2023] [Accepted: 12/27/2023] [Indexed: 03/05/2024] Open
Abstract
Ovarian cancer is one of the most common gynaecological malignancies with poor prognosis and lack of effective treatment. The improvement of the situation of ovarian cancer urgently requires the exploration of its molecular mechanism to develop more effective molecular targeted drugs. In this study, the role of human ribosomal protein l35a (RPL35A) in ovarian cancer was explored in vitro and in vivo. Our data identified that RPL35A expression was abnormally elevated in ovarian cancer. Clinically, high expression of RPL35A predicted short survival and poor TNM staging in patients with ovarian cancer. Functionally, RPL35A knock down inhibited ovarian cancer cell proliferation and migration, enhanced apoptosis, while overexpression had the opposite effect. Mechanically, RPL35A promoted the direct binding of transcription factor YY1 to CTCF in ovarian cancer cells. Consistently, RPL35A regulated ovarian cancer progression depending on CTCF in vitro and in vivo. Furthermore, RPL35A affected the proliferation and apoptosis of ovarian cancer cells through PPAR signalling pathway. In conclusion, RPL35A drove ovarian cancer progression by promoting the binding of YY1 and CTCF promoter, and inhibiting this process may be an effective strategy for targeted therapy of this disease.
Collapse
Affiliation(s)
- Huijuan Wu
- Department of Gynecological OncologyTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and TherapyTianjinChina
| | - Liangbin Xia
- Department of Obstetrics and GynecologyRenmin Hospital of Wuhan UniversityWuhanChina
| | - Lu Sun
- Department of Gynecological OncologyTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and TherapyTianjinChina
| | - Dan Li
- Department of Gynecological OncologyTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and TherapyTianjinChina
| | - Xiangyu Liu
- Department of Gynecological OncologyTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and TherapyTianjinChina
| | - Hualin Song
- Department of Gynecological OncologyTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and TherapyTianjinChina
| | - Jindong Sheng
- Department of Gynecological OncologyTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and TherapyTianjinChina
| | - Ke Wang
- Department of Gynecological OncologyTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and TherapyTianjinChina
| | - Qinmei Feng
- Department of Gynecological OncologyShanxi Province People's HospitalShanxiChina
| |
Collapse
|
4
|
Zhao J, Faryabi RB. Spatial promoter-enhancer hubs in cancer: organization, regulation, and function. Trends Cancer 2023; 9:1069-1084. [PMID: 37599153 PMCID: PMC10840977 DOI: 10.1016/j.trecan.2023.07.017] [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: 04/24/2023] [Revised: 07/14/2023] [Accepted: 07/27/2023] [Indexed: 08/22/2023]
Abstract
Transcriptional dysregulation is a hallmark of cancer and can be driven by altered enhancer landscapes. Recent studies in genome organization have revealed that multiple enhancers and promoters can spatially coalesce to form dynamic topological assemblies, known as promoter-enhancer hubs, which strongly correlate with elevated gene expression. In this review, we discuss the structure and complexity of promoter-enhancer hubs recently identified in multiple cancer types. We further discuss underlying mechanisms driving dysregulation of promoter-enhancer hubs and speculate on their functional role in pathogenesis. Understanding the role of promoter-enhancer hubs in transcriptional dysregulation can provide insight into new therapeutic approaches to target these complex features of genome organization.
Collapse
Affiliation(s)
- Jingru Zhao
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Penn Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Robert B Faryabi
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Penn Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
| |
Collapse
|
5
|
Freie B, Carroll PA, Varnum-Finney BJ, Ramani V, Bernstein I, Eisenman RN. A Germline Point Mutation in the MYC-FBW7 Phosphodegron Initiates Hematopoietic Malignancies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.23.563660. [PMID: 37961183 PMCID: PMC10634767 DOI: 10.1101/2023.10.23.563660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Oncogenic activation of MYC in cancers predominantly involves increased transcription rather than coding region mutations. However, MYC-dependent lymphomas frequently contain point mutations in the MYC phospho-degron, including at threonine-58 (T58), where phosphorylation permits binding by the FBW7 ubiquitin ligase triggering MYC degradation. To understand how T58 phosphorylation functions in normal cell physiology, we introduced an alanine mutation at T58 (T58A) into the endogenous c-Myc locus in the mouse germline. While MYC-T58A mice develop normally, lymphomas and myeloid leukemias emerge in ~60% of adult homozygous T58A mice. We find that primitive hematopoietic progenitor cells from MYC-T58A mice exhibit aberrant self-renewal normally associated with hematopoietic stem cells (HSCs) and upregulate a subset of Myc target genes important in maintaining stem/progenitor cell balance. Genomic occupancy by MYC-T58A was increased at all promoters, compared to WT MYC, while genes differentially expressed in a T58A-dependent manner were significantly more proximal to MYC-bound enhancers. MYC-T58A lymphocyte progenitors exhibited metabolic alterations and decreased activation of inflammatory and apoptotic pathways. Our data demonstrate that a single point mutation in Myc is sufficient to produce a profound gain of function in multipotential hematopoietic progenitors associated with self-renewal and initiation of lymphomas and leukemias.
Collapse
Affiliation(s)
- Brian Freie
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA
| | - Patrick A Carroll
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA
| | | | - Vijay Ramani
- Gladstone Institute for Data Science and Biotechnology, University of California, San Francisco, San Francisco CA, USA
| | - Irwin Bernstein
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle WA, USA
| | - Robert N Eisenman
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA
| |
Collapse
|
6
|
Abstract
The human genome is organized into multiple structural layers, ranging from chromosome territories to progressively smaller substructures, such as topologically associating domains (TADs) and chromatin loops. These substructures, collectively referred to as long-range chromatin interactions (LRIs), have a significant role in regulating gene expression. TADs are regions of the genome that harbour groups of genes and regulatory elements that frequently interact with each other and are insulated from other regions, thereby preventing widespread uncontrolled DNA contacts. Chromatin loops formed within TADs through enhancer and promoter interactions are elastic, allowing transcriptional heterogeneity and stochasticity. Over the past decade, it has become evident that the 3D genome structure, also referred to as the chromatin architecture, is central to many transcriptional cellular decisions. In this Review, we delve into the intricate relationship between steroid receptors and LRIs, discussing how steroid receptors interact with and modulate these chromatin interactions. Genetic alterations in the many processes involved in organizing the nuclear architecture are often associated with the development of hormone-dependent cancers. A better understanding of the interplay between architectural proteins and hormone regulatory networks can ultimately be exploited to develop improved approaches for cancer treatment.
Collapse
Affiliation(s)
- Theophilus T Tettey
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Lorenzo Rinaldi
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Gordon L Hager
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, NIH, Bethesda, MD, USA.
| |
Collapse
|
7
|
Masunaga Y, Fujisawa Y, Massart F, Spinelli C, Kojima Y, Mizuno K, Hayashi Y, Sasagawa I, Yoshida R, Kato F, Fukami M, Kamatani N, Saitsu H, Ogata T. Microdeletion at ESR1 Intron 6 (DEL_6_75504) Is a Susceptibility Factor for Cryptorchidism and Hypospadias. J Clin Endocrinol Metab 2023; 108:2550-2560. [PMID: 37010083 DOI: 10.1210/clinem/dgad187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/23/2023] [Accepted: 03/30/2023] [Indexed: 04/04/2023]
Abstract
CONTEXT We have previously reported that a specific "AGATC" haplotype in a >34 kb tight linkage disequilibrium (LD) block within ESR1 is strongly associated with cryptorchidism and hypospadias in Japanese boys. OBJECTIVE We aimed to determine the true susceptibility factor for cryptorchidism and hypospadias linked to the "AGATC" haplotype. METHODS We performed various molecular studies in hitherto unreported 230 Italian boys (80 with cryptorchidism and 150 with normal genitalia) and previously reported and newly recruited 415 Japanese boys (149 with cryptorchidism, 141 with hypospadias, and 125 with normal genitalia). We also performed ESR1 expression analyses using breast cancer-derived MCF-7 cells. RESULTS Haplotype analysis revealed the LD block and positive association of the "AGATC" haplotype with cryptorchidism in Italian boys. Whole genome sequencing identified an identical 2249-bp microdeletion (ΔESR1) generated by a microhomology-mediated replication error in both Japanese and Italian boys with the specific haplotype. ΔESR1 was found to be strongly associated with cryptorchidism and hypospadias by Cochran-Armitage trend test and was revealed to show nearly absolute LD with the "AGATC" haplotype. ESR1 expression was upregulated in MCF-7 cells with a homozygous deletion encompassing ΔESR1 and those with a homozygous deletion involving a CTCF-binding site within ΔESR1. CONCLUSION The results reveal that ΔESR1, which has been registered as "DEL_6_75504" in gnomAD SVs v2.1, is the true susceptibility factor for cryptorchidism and hypospadias. It appears that ΔESR1 was produced in a single ancestral founder of modern humans and has been maintained within the genome of multiple ethnic groups by selection.
Collapse
Affiliation(s)
- Yohei Masunaga
- Department of Pediatrics, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Yasuko Fujisawa
- Department of Pediatrics, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | | | | | - Yoshiyuki Kojima
- Department of Urology, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan
| | - Kentaro Mizuno
- Department of Pediatric Urology, Nagoya City University Graduate School of Medical Sciences, Nagoya 467-8601, Japan
| | - Yutaro Hayashi
- Department of Pediatric Urology, Nagoya City University Graduate School of Medical Sciences, Nagoya 467-8601, Japan
| | - Isoji Sasagawa
- Department of Urology Yamagata Tokushukai Hospital, Yamagata 990-0834, Japan
| | - Rie Yoshida
- Department of Pediatrics, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Fumiko Kato
- Department of Pediatrics, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
- Hamamatsu Child Health and Developmental Medicine, Hamamatsu 431-3192, Japan
| | - Maki Fukami
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo 157-8535, Japan
| | | | - Hirotomo Saitsu
- Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Tsutomu Ogata
- Department of Pediatrics, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
- Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
- Department of Pediatrics, Hamamatsu Medical Center, Hamamatsu 432-8580, Japan
| |
Collapse
|
8
|
Tang J, Shu D, Fang Z, Yang G. Prominin 2 decreases cisplatin sensitivity in non-small cell lung cancer and is modulated by CTCC binding factor. Radiol Oncol 2023; 57:325-336. [PMID: 37665741 PMCID: PMC10476904 DOI: 10.2478/raon-2023-0033] [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: 12/21/2022] [Accepted: 06/21/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Non-small cell lung cancer (NSCLC) is the major pathological type of lung cancer and accounts for the majority of lung cancer-related deaths worldwide. We investigated the molecular mechanism of prominin 2 (PROM2) involved in cisplatin resistance in NSCLC. PATIENTS AND METHODS The GEO database was analyzed to obtain differential genes to target PROM2. Immunohistochemistry and western blotting were used to detect protein expression levels. To examine the role of PROM2 in NSCLC, we overexpressed or knocked down PROM2 by transfection of plasmid or small interfering RNA. In functional experiments, CCK8 was used to detect cell viability. Cell migration and invasion and apoptosis were detected by transwell assay and flow cytometry, respectively. Mechanistically, the regulation of PROM2 by CTCF was detected by ChIP-PCR. In vivo experiments confirmed the role of PROM2 in NSCLC. RESULTS GEO data analysis revealed that PROM2 was up-regulated in NSCLC, but its role in NSCLC remains unclear. Our clinical samples confirmed that the expression of PROM2 was markedly increased in NSCLC tissue. Functionally, Overexpression of PROM2 promotes cell proliferation, migration and invasion, and cisplatin resistance. CTCF up-regulates PROM2 expression by binding to its promoter region. In vivo experiments confirmed that PROM2 knockdown could inhibit tumor growth and increase the sensitivity of tumor cells to cisplatin. CONCLUSIONS PROM2 up-regulation in NSCLC can attenuate the sensitivity of NSCLC cells to cisplatin and promote the proliferation, migration and invasion of tumor cells. PROM2 may provide a new target for the treatment of NSCLC.
Collapse
Affiliation(s)
- Jiyang Tang
- Department of Thoracic Surgery, The Third Affiliated Hospital of ZunYi Medical University (The First People's Hospital of ZunYi), Zunyi, Guizhou, China
| | - Dejun Shu
- Department of Thoracic Surgery, The Third Affiliated Hospital of ZunYi Medical University (The First People's Hospital of ZunYi), Zunyi, Guizhou, China
| | - Zhimin Fang
- Department of Thoracic Surgery, The Third Affiliated Hospital of ZunYi Medical University (The First People's Hospital of ZunYi), Zunyi, Guizhou, China
| | - Gaolan Yang
- Department of Thoracic Surgery, The Third Affiliated Hospital of ZunYi Medical University (The First People's Hospital of ZunYi), Zunyi, Guizhou, China
| |
Collapse
|
9
|
Kurup JT, Kim S, Kidder BL. Identifying Cancer Type-Specific Transcriptional Programs through Network Analysis. Cancers (Basel) 2023; 15:4167. [PMID: 37627195 PMCID: PMC10453000 DOI: 10.3390/cancers15164167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/11/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Identifying cancer type-specific genes that define cell states is important to develop effective therapies for patients and methods for detection, early diagnosis, and prevention. While molecular mechanisms that drive malignancy have been identified for various cancers, the identification of cell-type defining transcription factors (TFs) that distinguish normal cells from cancer cells has not been fully elucidated. Here, we utilized a network biology framework, which assesses the fidelity of cell fate conversions, to identify cancer type-specific gene regulatory networks (GRN) for 17 types of cancer. Through an integrative analysis of a compendium of expression data, we elucidated core TFs and GRNs for multiple cancer types. Moreover, by comparing normal tissues and cells to cancer type-specific GRNs, we found that the expression of key network-influencing TFs can be utilized as a survival prognostic indicator for a diverse cohort of cancer patients. These findings offer a valuable resource for exploring cancer type-specific networks across a broad range of cancer types.
Collapse
Affiliation(s)
- Jiji T. Kurup
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA; (J.T.K.); (S.K.)
- Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Seongho Kim
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA; (J.T.K.); (S.K.)
- Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Benjamin L. Kidder
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA; (J.T.K.); (S.K.)
- Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI 48201, USA
| |
Collapse
|
10
|
Wei Z, Wang S, Xu Y, Wang W, Soares F, Ahmed M, Su P, Wang T, Orouji E, Xu X, Zeng Y, Chen S, Liu X, Jia T, Liu Z, Du L, Wang Y, Chen S, Wang C, He HH, Guo H. MYC reshapes CTCF-mediated chromatin architecture in prostate cancer. Nat Commun 2023; 14:1787. [PMID: 36997534 PMCID: PMC10063626 DOI: 10.1038/s41467-023-37544-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 03/21/2023] [Indexed: 04/03/2023] Open
Abstract
MYC is a well characterized oncogenic transcription factor in prostate cancer, and CTCF is the main architectural protein of three-dimensional genome organization. However, the functional link between the two master regulators has not been reported. In this study, we find that MYC rewires prostate cancer chromatin architecture by interacting with CTCF protein. Through combining the H3K27ac, AR and CTCF HiChIP profiles with CRISPR deletion of a CTCF site upstream of MYC gene, we show that MYC activation leads to profound changes of CTCF-mediated chromatin looping. Mechanistically, MYC colocalizes with CTCF at a subset of genomic sites, and enhances CTCF occupancy at these loci. Consequently, the CTCF-mediated chromatin looping is potentiated by MYC activation, resulting in the disruption of enhancer-promoter looping at neuroendocrine lineage plasticity genes. Collectively, our findings define the function of MYC as a CTCF co-factor in three-dimensional genome organization.
Collapse
Affiliation(s)
- Zhao Wei
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, 250012, Shandong Province, China
| | - Song Wang
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, Shandong, China
| | - Yaning Xu
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, Shandong, China
| | - Wenzheng Wang
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, Shandong, China
| | - Fraser Soares
- Princess Margaret Cancer Center/University Health Network, Toronto, Ontario, M5G 1L7, Canada
| | - Musaddeque Ahmed
- Princess Margaret Cancer Center/University Health Network, Toronto, Ontario, M5G 1L7, Canada
| | - Ping Su
- National Administration of Health Data, Jinan, 250000, China
| | - Tingting Wang
- Institute of Medical Sciences, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
| | - Elias Orouji
- Epigenetics Initiative, Princess Margaret Genomics Centre, Toronto, ON, Canada
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xin Xu
- Princess Margaret Cancer Center/University Health Network, Toronto, Ontario, M5G 1L7, Canada
| | - Yong Zeng
- Princess Margaret Cancer Center/University Health Network, Toronto, Ontario, M5G 1L7, Canada
| | - Sujun Chen
- Princess Margaret Cancer Center/University Health Network, Toronto, Ontario, M5G 1L7, Canada
| | - Xiaoyu Liu
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, Shandong, China
| | - Tianwei Jia
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, Shandong, China
| | - Zhaojian Liu
- Key Laboratory of Experimental Teratology, Ministry of Education, Department of Cell Biology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
| | - Lutao Du
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, Shandong, China
| | - Yunshan Wang
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, Shandong, China
| | - Shaoyong Chen
- Hematology-Oncology Division, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
| | - Chuanxin Wang
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, Shandong, China
| | - Housheng Hansen He
- Princess Margaret Cancer Center/University Health Network, Toronto, Ontario, M5G 1L7, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, M5G 2M9, Canada.
| | - Haiyang Guo
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China.
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, Shandong, China.
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, Shandong, China.
| |
Collapse
|
11
|
Shin H, Kim Y. Regulation of loop extrusion on the interphase genome. Crit Rev Biochem Mol Biol 2023; 58:1-18. [PMID: 36921088 DOI: 10.1080/10409238.2023.2182273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
In the human cell nucleus, dynamically organized chromatin is the substrate for gene regulation, DNA replication, and repair. A central mechanism of DNA loop formation is an ATPase motor cohesin-mediated loop extrusion. The cohesin complexes load and unload onto the chromosome under the control of other regulators that physically interact and affect motor activity. Regulation of the dynamic loading cycle of cohesin influences not only the chromatin structure but also genome-associated human disorders and aging. This review focuses on the recently spotlighted genome organizing factors and the mechanism by which their dynamic interactions shape the genome architecture in interphase.
Collapse
Affiliation(s)
- Hyogyung Shin
- Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
| | - Yoori Kim
- Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea.,New Biology Research Center, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
| |
Collapse
|
12
|
Eghbalsaied S, Kues WA. CRISPR/Cas9-mediated targeted knock-in of large constructs using nocodazole and RNase HII. Sci Rep 2023; 13:2690. [PMID: 36792645 PMCID: PMC9931768 DOI: 10.1038/s41598-023-29789-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 02/10/2023] [Indexed: 02/17/2023] Open
Abstract
On-target integration of large cassettes via homology-directed repair (HDR) has several applications. However, the HDR-mediated targeted knock-in suffered from low efficiency. In this study, we made several large plasmids (12.1-13.4 kb) which included the CRISPR/Cas9 system along with a puromycin transgene as part of the large DNA donor (5.3-7.1 kb insertion cassettes) and used them to evaluate their targeted integration efficiency into a transgenic murine embryonic fibroblast (MEF) cell line carrying a single copy of a Venus transgene. We established a detection assay by which HDR events could be discriminated from the error-prone non-homologous end-joining (NHEJ) events. Improving the plasmid quality could considerably leverage the cell toxicity impediment of large plasmids. The use of the TILD (targeted integration with linearized dsDNA) cassettes did not improve the HDR rate compared to the circular plasmids. However, the direct inclusion of nocodazole into the electroporation solution significantly improved the HDR rate. Also, simultaneous delivery of RNase HII and the donor plasmids into the electroporated cells considerably improved the HDR events. In conclusion, the results of this study showed that using cell synchronization reagents in the electroporation medium can efficiently induce HDR rate in the mammalian genome.
Collapse
Affiliation(s)
- Shahin Eghbalsaied
- grid.417834.dBiotechnology/Stem Cell Physiology, Friedrich-Loeffler-Institut (FLI), Federal Research Institute for Animal Health, Höltystr. 10, 31535 Neustadt, Germany ,grid.411463.50000 0001 0706 2472Department of Animal Science, Isfahan (Khorasgan) Branch, Islamic Azad University, Tehran, Iran ,grid.1008.90000 0001 2179 088XSchool of Biosciences, Royal Parade, The University of Melbourne, Melbourne, VIC Australia
| | - Wilfried A. Kues
- grid.417834.dBiotechnology/Stem Cell Physiology, Friedrich-Loeffler-Institut (FLI), Federal Research Institute for Animal Health, Höltystr. 10, 31535 Neustadt, Germany
| |
Collapse
|
13
|
A global high-density chromatin interaction network reveals functional long-range and trans-chromosomal relationships. Genome Biol 2022; 23:238. [PMID: 36352464 PMCID: PMC9647974 DOI: 10.1186/s13059-022-02790-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 10/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chromatin contacts are essential for gene-expression regulation; however, obtaining a high-resolution genome-wide chromatin contact map is still prohibitively expensive owing to large genome sizes and the quadratic scale of pairwise data. Chromosome conformation capture (3C)-based methods such as Hi-C have been extensively used to obtain chromatin contacts. However, since the sparsity of these maps increases with an increase in genomic distance between contacts, long-range or trans-chromatin contacts are especially challenging to sample. RESULTS Here, we create a high-density reference genome-wide chromatin contact map using a meta-analytic approach. We integrate 3600 human, 6700 mouse, and 500 fly Hi-C experiments to create species-specific meta-Hi-C chromatin contact maps with 304 billion, 193 billion, and 19 billion contacts in respective species. We validate that meta-Hi-C contact maps are uniquely powered to capture functional chromatin contacts in both cis and trans. We find that while individual dataset Hi-C networks are largely unable to predict any long-range coexpression (median 0.54 AUC), meta-Hi-C networks perform comparably in both cis and trans (0.65 AUC vs 0.64 AUC). Similarly, for long-range expression quantitative trait loci (eQTL), meta-Hi-C contacts outperform all individual Hi-C experiments, providing an improvement over the conventionally used linear genomic distance-based association. Assessing between species, we find patterns of chromatin contact conservation in both cis and trans and strong associations with coexpression even in species for which Hi-C data is lacking. CONCLUSIONS We have generated an integrated chromatin interaction network which complements a large number of methodological and analytic approaches focused on improved specificity or interpretation. This high-depth "super-experiment" is surprisingly powerful in capturing long-range functional relationships of chromatin interactions, which are now able to predict coexpression, eQTLs, and cross-species relationships. The meta-Hi-C networks are available at https://labshare.cshl.edu/shares/gillislab/resource/HiC/ .
Collapse
|
14
|
Geng K, Merino LG, Wedemann L, Martens A, Sobota M, Sanchez YP, Søndergaard JN, White RJ, Kutter C. Target-enriched nanopore sequencing and de novo assembly reveals co-occurrences of complex on-target genomic rearrangements induced by CRISPR-Cas9 in human cells. Genome Res 2022; 32:1876-1891. [PMID: 36180232 PMCID: PMC9712622 DOI: 10.1101/gr.276901.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 09/19/2022] [Indexed: 11/24/2022]
Abstract
The CRISPR-Cas9 system is widely used to permanently delete genomic regions via dual guide RNAs. Genomic rearrangements induced by CRISPR-Cas9 can occur, but continuous technical developments make it possible to characterize complex on-target effects. We combined an innovative droplet-based target enrichment approach with long-read sequencing and coupled it to a customized de novo sequence assembly. This approach enabled us to dissect the sequence content at kilobase scale within an on-target genomic locus. We here describe extensive genomic disruptions by Cas9, involving the allelic co-occurrence of a genomic duplication and inversion of the target region, as well as integrations of exogenous DNA and clustered interchromosomal DNA fragment rearrangements. Furthermore, we found that these genomic alterations led to functional aberrant DNA fragments and can alter cell proliferation. Our findings broaden the consequential spectrum of the Cas9 deletion system, reinforce the necessity of meticulous genomic validations, and introduce a data-driven workflow enabling detailed dissection of the on-target sequence content with superior resolution.
Collapse
Affiliation(s)
- Keyi Geng
- Department of Microbiology, Tumor, and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 65, Stockholm, Sweden
| | - Lara G Merino
- Department of Microbiology, Tumor, and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 65, Stockholm, Sweden
| | - Linda Wedemann
- Department of Microbiology, Tumor, and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 65, Stockholm, Sweden
| | - Aniek Martens
- Department of Microbiology, Tumor, and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 65, Stockholm, Sweden
| | - Małgorzata Sobota
- Department of Microbiology, Tumor, and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 65, Stockholm, Sweden
| | - Yerma P Sanchez
- Department of Microbiology, Tumor, and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 65, Stockholm, Sweden
| | - Jonas Nørskov Søndergaard
- Department of Microbiology, Tumor, and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 65, Stockholm, Sweden
| | - Robert J White
- Department of Biology, University of York, York YO10 5DD, United Kingdom
| | - Claudia Kutter
- Department of Microbiology, Tumor, and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 65, Stockholm, Sweden
| |
Collapse
|
15
|
Zhou T, Feng Q. Androgen receptor signaling and spatial chromatin organization in castration-resistant prostate cancer. Front Med (Lausanne) 2022; 9:924087. [PMID: 35966880 PMCID: PMC9372301 DOI: 10.3389/fmed.2022.924087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 07/12/2022] [Indexed: 12/03/2022] Open
Abstract
Prostate cancer is one of the leading causes of cancer death and affects millions of men in the world. The American Cancer Society estimated about 34,500 deaths from prostate cancer in the United States in year 2022. The Androgen receptor (AR) signaling is a major pathway that sustains local and metastatic prostate tumor growth. Androgen-deprivation therapy (ADT) is the standard of care for metastatic prostate cancer patient and can suppress the tumor growth for a median of 2–3 years. Unfortunately, the malignancy inevitably progresses to castration-resistant prostate cancer (CRPC) which is more aggressive and no longer responsive to ADT. Surprisingly, for most of the CPRC patients, cancer growth still depends on androgen receptor signaling. Accumulating evidence suggests that CRPC cells have rewired their transcriptional program to retain AR signaling in the absence of androgens. Besides AR, other transcription factors also contribute to the resistance mechanism through multiple pathways including enhancing AR signaling pathway and activating other complementary signaling pathways for the favor of AR downstream genes expression. More recent studies have shown the role of transcription factors in reconfiguring chromatin 3D structure and regulating topologically associating domains (TADs). Pioneer factors, transcription factors and coactivators form liquid-liquid phase separation compartment that can modulate transcriptional events along with configuring TADs. The role of AR and other transcription factors on chromatin structure change and formation of condensate compartment in prostate cancer cells has only been recently investigated and appreciated. This review intends to provide an overview of transcription factors that contribute to AR signaling through activation of gene expression, governing 3D chromatin structure and establishing phase to phase separation. A more detailed understanding of the spatial role of transcription factors in CRPC might provide novel therapeutic targets for the treatment of CRPC.
Collapse
|
16
|
Hu K, Hu X, Duan Y, Li W, Qian J, Chen J. A Novel Overall Survival Prediction Signature Based on Comprehensive Research in Prostate Cancer Bone Metastases. Front Med (Lausanne) 2022; 9:815541. [PMID: 35783639 PMCID: PMC9243502 DOI: 10.3389/fmed.2022.815541] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 05/18/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Prostate adenocarcinoma (PRAD)-related bone metastases are a leading source of morbidity and mortality; however, good diagnostic biomarkers are not known yet. The aim of this study was to identify biomarkers and prognostic indicators for the diagnosis and treatment of PRAD-associated bone metastases. METHODS By combining the data from The Cancer Genome Atlas(TCGA) and PRAD SU2C 2019, We performed a comprehensive analysis of the expression differences, biological functions, and interactions of genes associated with PRAD bone metastasis. Annotation, visualization, and integrated discovery were accomplished through the use of gene ontology enrichment and gene set enrichment analysis. The protein-protein interaction network was constructed using the STRING database, and the diagnostic value of prognostic genes was validated using receiver-operating-characteristic and Kaplan-Meier curves. RESULTS Six genes (DDX47, PRL17, AS3MT, KLRK1, ISLR, and S100A8) associated with PRAD bone metastases were identified; these had prognostic value as well. Among them, enrichment was observed for the biological processes extracellular matrix tissue, extracellular structural tissue, steroid hormone response, and cell oxidative detoxification. KEGG analysis revealed enrichment in interactions with extracellular matrix receptors, diseases including Parkinson's disease and dilated cardiomyopathy, and estrogen signaling pathways. The area under the curve values of 0.8938, 0.9885, and 0.979, obtained from time-dependent receiver-operating-characteristic curve analysis for 1, 3, and 5-year overall survival confirmed the good performance of the model under consideration. S100A8 expression was not detected in the normal prostate tissue but was detected in PRAD. CONCLUSIONS We identified ISLR as a potential biomarker for PRAD bone metastasis. Moreover, the genes identified to have prognostic value may act as therapeutic targets for PRAD bone metastasis.
Collapse
Affiliation(s)
- Konghe Hu
- Department of Spine Surgery, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Shaoguan, China
| | - Xinyue Hu
- Department of Clinical Laboratory, Kunming First People's Hospital, Kunming Medical University, Kunming, China
| | - Yang Duan
- Department of Spine Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Wenqiang Li
- Department of Spine Surgery, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Shaoguan, China
| | - Jing Qian
- Department of Clinical Laboratory, Kunming First People's Hospital, Kunming Medical University, Kunming, China
| | - Junjie Chen
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| |
Collapse
|
17
|
Jafari H, Hussain S, Campbell MJ. Nuclear Receptor Coregulators in Hormone-Dependent Cancers. Cancers (Basel) 2022; 14:2402. [PMID: 35626007 PMCID: PMC9139824 DOI: 10.3390/cancers14102402] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 05/09/2022] [Indexed: 12/10/2022] Open
Abstract
Nuclear receptors (NRs) function collectively as a transcriptional signaling network that mediates gene regulatory actions to either maintain cellular homeostasis in response to hormonal, dietary and other environmental factors, or act as orphan receptors with no known ligand. NR complexes are large and interact with multiple protein partners, collectively termed coregulators. Coregulators are essential for regulating NR activity and can dictate whether a target gene is activated or repressed by a variety of mechanisms including the regulation of chromatin accessibility. Altered expression of coregulators contributes to a variety of hormone-dependent cancers including breast and prostate cancers. Therefore, understanding the mechanisms by which coregulators interact with and modulate the activity of NRs provides opportunities to develop better prognostic and diagnostic approaches, as well as novel therapeutic targets. This review aims to gather and summarize recent studies, techniques and bioinformatics methods used to identify distorted NR coregulator interactions that contribute as cancer drivers in hormone-dependent cancers.
Collapse
Affiliation(s)
- Hedieh Jafari
- Department of Molecular Genetics, The Ohio State University, Columbus, OH 43210, USA;
- Department of Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA;
| | - Shahid Hussain
- Department of Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA;
| | - Moray J. Campbell
- Department of Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA;
| |
Collapse
|
18
|
San Martin R, Das P, Dos Reis Marques R, Xu Y, Roberts JM, Sanders JT, Golloshi R, McCord RP. Chromosome compartmentalization alterations in prostate cancer cell lines model disease progression. J Cell Biol 2022; 221:212899. [PMID: 34889941 PMCID: PMC8669499 DOI: 10.1083/jcb.202104108] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 08/31/2021] [Accepted: 11/17/2021] [Indexed: 11/22/2022] Open
Abstract
Prostate cancer aggressiveness and metastatic potential are influenced by gene expression and genomic aberrations, features that can be influenced by the 3D structure of chromosomes inside the nucleus. Using chromosome conformation capture (Hi-C), we conducted a systematic genome architecture comparison on a cohort of cell lines that model prostate cancer progression, from normal epithelium to bone metastasis. We describe spatial compartment identity (A-open versus B-closed) changes with progression in these cell lines and their relation to gene expression changes in both cell lines and patient samples. In particular, 48 gene clusters switch from the B to the A compartment, including androgen receptor, WNT5A, and CDK14. These switches are accompanied by changes in the structure, size, and boundaries of topologically associating domains (TADs). Further, compartment changes in chromosome 21 are exacerbated with progression and may explain, in part, the genesis of the TMPRSS2-ERG translocation. These results suggest that discrete 3D genome structure changes play a deleterious role in prostate cancer progression. .
Collapse
Affiliation(s)
- Rebeca San Martin
- Department of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN
| | - Priyojit Das
- University of Tennessee - Oak Ridge National Lab (UT-ORNL) Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN
| | - Renata Dos Reis Marques
- Department of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN
| | - Yang Xu
- University of Tennessee - Oak Ridge National Lab (UT-ORNL) Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN
| | - Justin M Roberts
- Department of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancer, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jacob T Sanders
- Department of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN
| | - Rosela Golloshi
- Department of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN
| | - Rachel Patton McCord
- Department of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN
| |
Collapse
|
19
|
Gokuladhas S, Zaied RE, Schierding W, Farrow S, Fadason T, O'Sullivan JM. Integrating Multimorbidity into a Whole-Body Understanding of Disease Using Spatial Genomics. Results Probl Cell Differ 2022; 70:157-187. [PMID: 36348107 DOI: 10.1007/978-3-031-06573-6_5] [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] [Indexed: 06/16/2023]
Abstract
Multimorbidity is characterized by multidimensional complexity emerging from interactions between multiple diseases across levels of biological (including genetic) and environmental determinants and the complex array of interactions between and within cells, tissues and organ systems. Advances in spatial genomic research have led to an unprecedented expansion in our ability to link alterations in genome folding with changes that are associated with human disease. Studying disease-associated genetic variants in the context of the spatial genome has enabled the discovery of transcriptional regulatory programmes that potentially link dysregulated genes to disease development. However, the approaches that have been used have typically been applied to uncover pathological molecular mechanisms occurring in a specific disease-relevant tissue. These forms of reductionist, targeted investigations are not appropriate for the molecular dissection of multimorbidity that typically involves contributions from multiple tissues. In this perspective, we emphasize the importance of a whole-body understanding of multimorbidity and discuss how spatial genomics, when integrated with additional omic datasets, could provide novel insights into the molecular underpinnings of multimorbidity.
Collapse
Affiliation(s)
| | - Roan E Zaied
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - William Schierding
- Liggins Institute, The University of Auckland, Auckland, New Zealand
- The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand
| | - Sophie Farrow
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Tayaza Fadason
- Liggins Institute, The University of Auckland, Auckland, New Zealand
- The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand
| | - Justin M O'Sullivan
- Liggins Institute, The University of Auckland, Auckland, New Zealand.
- The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand.
- Australian Parkinson's Mission, Garvan Institute of Medical Research, Sydney, NSW, Australia.
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
| |
Collapse
|
20
|
Genomic Insights into Non-steroidal Nuclear Receptors in Prostate and Breast Cancer. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1390:227-239. [DOI: 10.1007/978-3-031-11836-4_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
21
|
Tian P, Zhong M, Wei GH. Mechanistic insights into genetic susceptibility to prostate cancer. Cancer Lett 2021; 522:155-163. [PMID: 34560228 DOI: 10.1016/j.canlet.2021.09.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 09/11/2021] [Accepted: 09/14/2021] [Indexed: 12/24/2022]
Abstract
Prostate cancer (PCa) is the second most common cancer in men and is a highly heritable disease that affects millions of individuals worldwide. Genome-wide association studies have to date discovered nearly 270 genetic loci harboring hundreds of single nucleotide polymorphisms (SNPs) that are associated with PCa susceptibility. In contrast, the functional characterization of the mechanisms underlying PCa risk association is still growing. Given that PCa risk-associated SNPs are highly enriched in noncoding cis-regulatory genomic regions, accumulating evidence suggests a widespread modulation of transcription factor chromatin binding and allelic enhancer activity by these noncoding SNPs, thereby dysregulating gene expression. Emerging studies have shown that a proportion of noncoding variants can modulate the formation of transcription factor complexes at enhancers and CTCF-mediated 3D genome architecture. Interestingly, DNA methylation-regulated CTCF binding could orchestrate a long-range chromatin interaction between PCa risk enhancer and causative genes. Additionally, one-causal-variant-two-risk genes or multiple-risk-variant-multiple-genes are prevalent in some PCa risk-associated loci. In this review, we will discuss the current understanding of the general principles of SNP-mediated gene regulation, experimental advances, and functional evidence supporting the mechanistic roles of several PCa genetic loci with potential clinical impact on disease prevention and treatment.
Collapse
Affiliation(s)
- Pan Tian
- Fudan University Shanghai Cancer Center; Key Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, 200032, China
| | - Mengjie Zhong
- Fudan University Shanghai Cancer Center; Key Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, 200032, China
| | - Gong-Hong Wei
- Fudan University Shanghai Cancer Center; Key Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
| |
Collapse
|
22
|
Eghbalsaied S, Kues WA. An electrochemical protocol for CRISPR-mediated gene-editing of sheep embryonic fibroblast cells. Cells Tissues Organs 2021; 212:176-184. [PMID: 34823242 DOI: 10.1159/000521128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/19/2021] [Indexed: 11/19/2022] Open
Abstract
Genetic engineering of farm animals is commonly carried out via cell-mediated transfection followed by somatic cell nuclear transfer. However, efficient transfer of exogenous DNA into ovine embryonic fibroblast (EF) cells without compromising cell viability have remained a challenging issue. Here, we aimed to develop a protocol for electrotransfection of sheep EF cells. First, we optimized the pulsing condition using an OptiMEM-GlutaMAX medium as the electroporation buffer and found two pulses of 270 V, each for 10 ms and 10 s interval, is the most efficient condition to have a high rate of transfection and cell survival. Moreover, supplementing 3 % dimethyl sulfoxide (DMSO) into the electroporation medium considerably improved the cell viability after the electroporation process. The electroporation procedure resulted in > 98% transfection efficiency and > 97 % cell survival rate using reporter plasmids. Finally, using CRISPR/Cas9-encoding vectors, we targeted BMP15 and GDF9 genes in sheep EF cells. The electroporated cells are associated with a 52 % indels rate using single gRNAs as well as a highly efficient target deletion using two gRNAs. In conclusion, we developed an electrotransfection protocol using the OptiMEM-GlutaMAX medium supplemented with 3 % DMSO for sheep EF cells. The electroporation method can be used for cell-mediated gene-editing in sheep.
Collapse
Affiliation(s)
- Shahin Eghbalsaied
- Friedrich-Loeffler-Institut (FLI), Federal Research Institute of Animal Health, Biotechnology, Stem Cell Physiology, Neustadt, Germany
- Department of Animal Science, Isfahan branch, Islamic Azad University, Isfahan, Iran
| | - Wilfried A Kues
- Department of Animal Science, Isfahan branch, Islamic Azad University, Isfahan, Iran
| |
Collapse
|
23
|
MacPhillamy C, Pitchford WS, Alinejad-Rokny H, Low WY. Opportunity to improve livestock traits using 3D genomics. Anim Genet 2021; 52:785-798. [PMID: 34494283 DOI: 10.1111/age.13135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2021] [Indexed: 11/30/2022]
Abstract
The advent of high-throughput chromosome conformation capture and sequencing (Hi-C) has enabled researchers to probe the 3D architecture of the mammalian genome in a genome-wide manner. Simultaneously, advances in epigenomic assays, such as chromatin immunoprecipitation and sequencing (ChIP-seq) and DNase-seq, have enabled researchers to study cis-regulatory interactions and chromatin accessibility across the same genome-wide scale. The use of these data has revealed many unique insights into gene regulation and disease pathomechanisms in several model organisms. With the advent of these high-throughput sequencing technologies, there has been an ever-increasing number of datasets available for study; however, this is often limited to model organisms. Livestock species play critical roles in the economies of developing and developed nations alike. Despite this, they are greatly underrepresented in the 3D genomics space; Hi-C and related technologies have the potential to revolutionise livestock breeding by enabling a more comprehensive understanding of how production traits are controlled. The growth in human and model organism Hi-C data has seen a surge in the availability of computational tools for use in 3D genomics, with some tools using machine learning techniques to predict features and improve dataset quality. In this review, we provide an overview of the 3D genome and discuss the status of 3D genomics in livestock before delving into advancing the field by drawing inspiration from research in human and mouse. We end by offering future directions for livestock research in the field of 3D genomics.
Collapse
Affiliation(s)
- C MacPhillamy
- Davies Livestock Research Centre, The University of Adelaide, Roseworthy Campus, Mudla Wirra Rd, Roseworthy, SA, 5371, Australia
| | - W S Pitchford
- Davies Livestock Research Centre, The University of Adelaide, Roseworthy Campus, Mudla Wirra Rd, Roseworthy, SA, 5371, Australia
| | - H Alinejad-Rokny
- Biological & Medical Machine Learning Lab, The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia.,School of Computer Science and Engineering, The University of New South Wales (UNSW Sydney), Sydney, NSW, 2052, Australia
| | - W Y Low
- Davies Livestock Research Centre, The University of Adelaide, Roseworthy Campus, Mudla Wirra Rd, Roseworthy, SA, 5371, Australia
| |
Collapse
|
24
|
Danieli A, Papantonis A. Spatial genome architecture and the emergence of malignancy. Hum Mol Genet 2021; 29:R197-R204. [PMID: 32619215 DOI: 10.1093/hmg/ddaa128] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 01/30/2023] Open
Abstract
Human chromosomes are large spatially and hierarchically structured entities, the integrity of which needs to be preserved throughout the lifespan of the cell and in conjunction with cell cycle progression. Preservation of chromosomal structure is important for proper deployment of cell type-specific gene expression programs. Thus, aberrations in the integrity and structure of chromosomes will predictably lead to disease, including cancer. Here, we provide an updated standpoint with respect to chromatin misfolding and the emergence of various cancer types. We discuss recent studies implicating the disruption of topologically associating domains, switching between active and inactive compartments, rewiring of promoter-enhancer interactions in malignancy as well as the effects of single nucleotide polymorphisms in non-coding regions involved in long-range regulatory interactions. In light of these findings, we argue that chromosome conformation studies may now also be useful for patient diagnosis and drug target discovery.
Collapse
Affiliation(s)
- Adi Danieli
- Institute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Argyris Papantonis
- Institute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany
| |
Collapse
|
25
|
Lange M, Begolli R, Giakountis A. Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine. Noncoding RNA 2021; 7:47. [PMID: 34449663 PMCID: PMC8395730 DOI: 10.3390/ncrna7030047] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/26/2021] [Accepted: 08/01/2021] [Indexed: 12/11/2022] Open
Abstract
The cancer genome is characterized by extensive variability, in the form of Single Nucleotide Polymorphisms (SNPs) or structural variations such as Copy Number Alterations (CNAs) across wider genomic areas. At the molecular level, most SNPs and/or CNAs reside in non-coding sequences, ultimately affecting the regulation of oncogenes and/or tumor-suppressors in a cancer-specific manner. Notably, inherited non-coding variants can predispose for cancer decades prior to disease onset. Furthermore, accumulation of additional non-coding driver mutations during progression of the disease, gives rise to genomic instability, acting as the driving force of neoplastic development and malignant evolution. Therefore, detection and characterization of such mutations can improve risk assessment for healthy carriers and expand the diagnostic and therapeutic toolbox for the patient. This review focuses on functional variants that reside in transcribed or not transcribed non-coding regions of the cancer genome and presents a collection of appropriate state-of-the-art methodologies to study them.
Collapse
Affiliation(s)
- Marios Lange
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece; (M.L.); (R.B.)
| | - Rodiola Begolli
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece; (M.L.); (R.B.)
| | - Antonis Giakountis
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece; (M.L.); (R.B.)
- Institute for Fundamental Biomedical Research, B.S.R.C “Alexander Fleming”, 34 Fleming Str., 16672 Vari, Greece
| |
Collapse
|
26
|
Degtyareva AO, Antontseva EV, Merkulova TI. Regulatory SNPs: Altered Transcription Factor Binding Sites Implicated in Complex Traits and Diseases. Int J Mol Sci 2021; 22:6454. [PMID: 34208629 PMCID: PMC8235176 DOI: 10.3390/ijms22126454] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 06/15/2021] [Accepted: 06/15/2021] [Indexed: 12/19/2022] Open
Abstract
The vast majority of the genetic variants (mainly SNPs) associated with various human traits and diseases map to a noncoding part of the genome and are enriched in its regulatory compartment, suggesting that many causal variants may affect gene expression. The leading mechanism of action of these SNPs consists in the alterations in the transcription factor binding via creation or disruption of transcription factor binding sites (TFBSs) or some change in the affinity of these regulatory proteins to their cognate sites. In this review, we first focus on the history of the discovery of regulatory SNPs (rSNPs) and systematized description of the existing methodical approaches to their study. Then, we brief the recent comprehensive examples of rSNPs studied from the discovery of the changes in the TFBS sequence as a result of a nucleotide substitution to identification of its effect on the target gene expression and, eventually, to phenotype. We also describe state-of-the-art genome-wide approaches to identification of regulatory variants, including both making molecular sense of genome-wide association studies (GWAS) and the alternative approaches the primary goal of which is to determine the functionality of genetic variants. Among these approaches, special attention is paid to expression quantitative trait loci (eQTLs) analysis and the search for allele-specific events in RNA-seq (ASE events) as well as in ChIP-seq, DNase-seq, and ATAC-seq (ASB events) data.
Collapse
Affiliation(s)
- Arina O. Degtyareva
- Department of Molecular Genetic, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (A.O.D.); (E.V.A.)
| | - Elena V. Antontseva
- Department of Molecular Genetic, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (A.O.D.); (E.V.A.)
| | - Tatiana I. Merkulova
- Department of Molecular Genetic, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (A.O.D.); (E.V.A.)
- Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia
| |
Collapse
|
27
|
Rittenhouse NL, Carico ZM, Liu YF, Stefan HC, Arruda NL, Zhou J, Dowen JM. Functional impact of cancer-associated cohesin variants on gene expression and cellular identity. Genetics 2021; 217:iyab025. [PMID: 33704438 PMCID: PMC8049558 DOI: 10.1093/genetics/iyab025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 02/08/2021] [Indexed: 01/06/2023] Open
Abstract
Cohesin is a ring-shaped protein complex that controls dynamic chromosome structure. Cohesin activity is important for a variety of biological processes, including formation of DNA loops that regulate gene expression. The precise mechanisms by which cohesin shapes local chromosome structure and gene expression are not fully understood. Recurrent mutations in cohesin complex members have been reported in various cancers, though it is not clear whether many cohesin sequence variants have phenotypes and contribute to disease. Here, we utilized CRISPR/Cas9 genome editing to introduce a variety of cohesin sequence variants into murine embryonic stem cells and investigate their molecular and cellular consequences. Some of the cohesin variants tested caused changes to transcription, including altered expression of gene encoding lineage-specifying developmental regulators. Altered gene expression was also observed at insulated neighborhoods, where cohesin-mediated DNA loops constrain potential interactions between genes and enhancers. Furthermore, some cohesin variants altered the proliferation rate and differentiation potential of murine embryonic stem cells. This study provides a functional comparison of cohesin variants found in cancer within an isogenic system, revealing the relative roles of various cohesin perturbations on gene expression and maintenance of cellular identity.
Collapse
Affiliation(s)
- Natalie L Rittenhouse
- Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Zachary M Carico
- Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Cancer Epigenetics Training Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Ying Frances Liu
- Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Holden C Stefan
- Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Nicole L Arruda
- Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Junjie Zhou
- Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jill M Dowen
- Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Cancer Epigenetics Training Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| |
Collapse
|
28
|
Ahmed M, Soares F, Xia JH, Yang Y, Li J, Guo H, Su P, Tian Y, Lee HJ, Wang M, Akhtar N, Houlahan KE, Bosch A, Zhou S, Mazrooei P, Hua JT, Chen S, Petricca J, Zeng Y, Davies A, Fraser M, Quigley DA, Feng FY, Boutros PC, Lupien M, Zoubeidi A, Wang L, Walsh MJ, Wang T, Ren S, Wei GH, He HH. CRISPRi screens reveal a DNA methylation-mediated 3D genome dependent causal mechanism in prostate cancer. Nat Commun 2021; 12:1781. [PMID: 33741908 PMCID: PMC7979745 DOI: 10.1038/s41467-021-21867-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 02/18/2021] [Indexed: 12/11/2022] Open
Abstract
Prostate cancer (PCa) risk-associated SNPs are enriched in noncoding cis-regulatory elements (rCREs), yet their modi operandi and clinical impact remain elusive. Here, we perform CRISPRi screens of 260 rCREs in PCa cell lines. We find that rCREs harboring high risk SNPs are more essential for cell proliferation and H3K27ac occupancy is a strong indicator of essentiality. We also show that cell-line-specific essential rCREs are enriched in the 8q24.21 region, with the rs11986220-containing rCRE regulating MYC and PVT1 expression, cell proliferation and tumorigenesis in a cell-line-specific manner, depending on DNA methylation-orchestrated occupancy of a CTCF binding site in between this rCRE and the MYC promoter. We demonstrate that CTCF deposition at this site as measured by DNA methylation level is highly variable in prostate specimens, and observe the MYC eQTL in the 8q24.21 locus in individuals with low CTCF binding. Together our findings highlight a causal mechanism synergistically driven by a risk SNP and DNA methylation-mediated 3D genome architecture, advocating for the integration of genetics and epigenetics in assessing risks conferred by genetic predispositions.
Collapse
Affiliation(s)
- Musaddeque Ahmed
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Fraser Soares
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Ji-Han Xia
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Yue Yang
- Changhai Hospital, Shanghai, China
| | - Jing Li
- Changhai Hospital, Shanghai, China
| | - Haiyang Guo
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Peiran Su
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Yijun Tian
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Hyung Joo Lee
- Department of Genetics, Washington University in St. Louis, St. Louis, MO, USA
| | - Miranda Wang
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Nayeema Akhtar
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Kathleen E Houlahan
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Vector Institute, Toronto, ON, Canada
- Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Almudena Bosch
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stanley Zhou
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Parisa Mazrooei
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Junjie T Hua
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sujun Chen
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Jessica Petricca
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Yong Zeng
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Alastair Davies
- The Vancouver Prostate Centre, Vancouver General Hospital and Department of Urologic Sciences, The University of British Columbia, Vancouver, BC, Canada
| | - Michael Fraser
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - David A Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, CA, USA
- Department of Urology, University of California at San Francisco, San Francisco, CA, USA
| | - Felix Y Feng
- Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, CA, USA
- Department of Urology, University of California at San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California at San Francisco, San Francisco, CA, USA
- Department of Radiation Oncology, University of California at San Francisco, San Francisco, CA, USA
| | - Paul C Boutros
- Vector Institute, Toronto, ON, Canada
- Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Mathieu Lupien
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Amina Zoubeidi
- The Vancouver Prostate Centre, Vancouver General Hospital and Department of Urologic Sciences, The University of British Columbia, Vancouver, BC, Canada
| | - Liang Wang
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Martin J Walsh
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ting Wang
- Department of Genetics, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Gong-Hong Wei
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu, Oulu, Finland.
- Fudan University Shanghai Cancer Center, School of Basic Medical Sciences, Department of Biochemistry and Molecular Biology, Shanghai Medical College of Fudan University, Shanghai, China.
| | - Housheng Hansen He
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
29
|
Loop competition and extrusion model predicts CTCF interaction specificity. Nat Commun 2021; 12:1046. [PMID: 33594051 PMCID: PMC7886907 DOI: 10.1038/s41467-021-21368-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 01/22/2021] [Indexed: 12/20/2022] Open
Abstract
Three-dimensional chromatin looping interactions play an important role in constraining enhancer–promoter interactions and mediating transcriptional gene regulation. CTCF is thought to play a critical role in the formation of these loops, but the specificity of which CTCF binding events form loops and which do not is difficult to predict. Loops often have convergent CTCF binding site motif orientation, but this constraint alone is only weakly predictive of genome-wide interaction data. Here we present an easily interpretable and simple mathematical model of CTCF mediated loop formation which is consistent with Cohesin extrusion and can predict ChIA-PET CTCF looping interaction measurements with high accuracy. Competition between overlapping loops is a critical determinant of loop specificity. We show that this model is consistent with observed chromatin interaction frequency changes induced by CTCF binding site deletion, inversion, and mutation, and is also consistent with observed constraints on validated enhancer–promoter interactions. Boundaries of topologically associated domains in genomes are marked by CTCF and cohesin binding. Here the authors predict CTCF interaction specificity by building a simple mathematical model with features including loop competition and extrusion.
Collapse
|
30
|
Abstract
Cancers and developmental disorders are associated with alterations in the 3D genome architecture in space and time (the fourth dimension). Mammalian 3D genome organization is complex and dynamic and plays an essential role in regulating gene expression and cellular function. To study the causal relationship between genome function and its spatio-temporal organization in the nucleus, new technologies for engineering and manipulating the 3D organization of the genome have been developed. In particular, CRISPR-Cas technologies allow programmable manipulation at specific genomic loci, enabling unparalleled opportunities in this emerging field of 3D genome engineering. We review advances in mammalian 3D genome engineering with a focus on recent manipulative technologies using CRISPR-Cas and related technologies.
Collapse
|
31
|
Long noncoding RNA: A resident staff of genomic instability regulation in tumorigenesis. Cancer Lett 2021; 503:103-109. [PMID: 33516792 DOI: 10.1016/j.canlet.2021.01.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 01/12/2021] [Accepted: 01/14/2021] [Indexed: 01/07/2023]
Abstract
Genomic instability is an important characteristic of cancer, which promotes clonal evolution and tumorigenesis by increasing the frequency of gene destruction and loss of genome integrity. Generally, the maintenance of genomic stability depends significantly on the accurate regulation and timely repair of different genomic scales, ranging from DNA sequence to chromatin higher-order structures to chromosomes. Once irreversible damage and imperfect repair occurred, the resulting genomic instability can lead to a higher risk of tumorigenesis. However, how these factors disrupt genomic stability and their specific tumorigenic mechanisms remain unclear. Inspiringly, numerous studies have confirmed that long noncoding RNAs (lncRNAs), an important regulator of epigenetic inheritance, are functional in such process. Thus, this review aimed to discuss the vital factors that may lead to genomic instability at these multiple genomic scales, with an emphasis on the role of lncRNAs in it.
Collapse
|
32
|
Nakamura M, Gao Y, Dominguez AA, Qi LS. CRISPR technologies for precise epigenome editing. Nat Cell Biol 2021; 23:11-22. [PMID: 33420494 DOI: 10.1038/s41556-020-00620-7] [Citation(s) in RCA: 165] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 11/30/2020] [Indexed: 01/29/2023]
Abstract
The epigenome involves a complex set of cellular processes governing genomic activity. Dissecting this complexity necessitates the development of tools capable of specifically manipulating these processes. The repurposing of prokaryotic CRISPR systems has allowed for the development of diverse technologies for epigenome engineering. Here, we review the state of currently achievable epigenetic manipulations along with corresponding applications. With future optimization, CRISPR-based epigenomic editing stands as a set of powerful tools for understanding and controlling biological function.
Collapse
Affiliation(s)
- Muneaki Nakamura
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Yuchen Gao
- Department of Bioengineering, Stanford University, Stanford, CA, USA.,Cancer Biology Program, Stanford University, Stanford, CA, USA.,Mammoth Biosciences, South San Francisco, CA, USA
| | - Antonia A Dominguez
- Department of Bioengineering, Stanford University, Stanford, CA, USA.,Sana Biotechnology, South San Francisco, CA, USA
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, CA, USA. .,Department of Chemical and Systems Biology, Stanford University, Stanford, CA, USA. .,Stanford ChEM-H Institute, Stanford University, Stanford, CA, USA.
| |
Collapse
|
33
|
Wang X, Hayes JE, Xu X, Gao X, Mehta D, Lilja HG, Klein RJ. Validation of prostate cancer risk variants rs10993994 and rs7098889 by CRISPR/Cas9 mediated genome editing. Gene 2020; 768:145265. [PMID: 33122083 DOI: 10.1016/j.gene.2020.145265] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 09/10/2020] [Accepted: 10/20/2020] [Indexed: 12/20/2022]
Abstract
GWAS have identified numerous SNPs associated with prostate cancer risk. One such SNP is rs10993994. It is located in the β-microseminoprotein (MSMB) promoter region, mediates MSMB prostate secretion levels, and is linked to mRNA expression changes in both MSMB and the adjacent gene NCOA4. In addition, our previous work showed a second SNP, rs7098889, is in positive linkage disequilibrium with rs10993994 and associated with MSMB expression independent of rs10993994. Here, we generate a series of clones with single alleles removed by double guide RNA (gRNA) mediated CRISPR/Cas9 deletions, through which we demonstrate that each of these SNPs independently and greatly alters MSMB expression in an allele-specific manner. We further show that these SNPs have no substantial effect on the expression of NCOA4. These data demonstrate that a single SNP can have a large effect on gene expression and illustrate the importance of functional validation studies to deconvolute observed correlations. The method we have developed is generally applicable to test any SNP for which a relevant heterozygous cell line is available. AUTHOR SUMMARY: In pursuing the underlying biological mechanism of prostate cancer pathogenesis, scientists utilized the existence of common single nucleotide polymorphisms (SNPs) in the human genome as genetic markers to perform large scale genome wide association studies (GWAS) and have so far identified more than a hundred prostate cancer risk variants. Such variants provide an unbiased and systematic new venue to study the disease mechanism, and the next big challenge is to translate these genetic associations to the causal role of altered gene function in oncogenesis. The majority of these variants are waiting to be studied and lots of them may act in oncogenesis through gene expression regulation. To prove the concept, we took rs10993994 and its linked rs7098889 as an example and engineered single cell clones by allelic-specific CRISPR/Cas9 deletion to separate the effect of each allele. We observed that a single nucleotide difference would lead to surprisingly high level of MSMB gene expression change in a gene specific and cell-type specific manner. Our study strongly supports the notion that differential level of gene expression caused by risk variants and their associated genetic locus play a major role in oncogenesis and also highlights the importance of studying the function of MSMB encoded β-MSP in prostate cancer pathogenesis.
Collapse
Affiliation(s)
- Xing Wang
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - James E Hayes
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Program in Cancer Biology and Genetics and Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, United States; Graduate School of Biomedical Sciences, Weill Cornell Medical College, New York, NY, United States
| | - Xing Xu
- Program in Cancer Biology and Genetics and Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, United States; Graduate School of Biomedical Sciences, Weill Cornell Medical College, New York, NY, United States
| | - Xiaoni Gao
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Program in Cancer Biology and Genetics and Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, United States
| | - Dipti Mehta
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Hans G Lilja
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Departments of Laboratory Medicine and Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK and Department of Translational Medicine, Lund University, Malmö, Sweden
| | - Robert J Klein
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Program in Cancer Biology and Genetics and Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, United States.
| |
Collapse
|
34
|
Eghbalsaied S, Hyder I, Kues WA. A versatile bulk electrotransfection protocol for murine embryonic fibroblasts and iPS cells. Sci Rep 2020; 10:13332. [PMID: 32770110 PMCID: PMC7414887 DOI: 10.1038/s41598-020-70258-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 07/24/2020] [Indexed: 11/08/2022] Open
Abstract
Although electroporation has been widely accepted as the main gene transfer tool, there is still considerable scope to improve the electroporation efficiency of exogenous DNAs into primary cells. Here, we developed a square-wave pulsing protocol using OptiMEM-GlutaMAX for highly efficient transfection of murine embryonic fibroblasts (MEF) and induced pluripotency stem (iPS) cells using reporter genes as well as gRNA/Cas9-encoding plasmids. An electrotransfection efficiency of > 95% was achieved for both MEF and iPS cells using reporter-encoding plasmids. The protocol was efficient for plasmid sizes ranging from 6.2 to 13.5 kb. Inducing the error prone non-homologous end joining repair by gRNA/Cas9 plasmid transfection, a high rate of targeted gene knockouts of up to 98% was produced in transgenic cells carrying a single-copy of Venus reporter. Targeted deletions in the Venus transgene were efficiently (up to 67% deletion rate) performed by co-electroporation of two gRNA-encoding plasmids. We introduced a plasmid electrotransfection protocol which is straight-forward, cost-effective, and efficient for CRISPRing murine primary cells. This protocol is promising to make targeted genetic engineering using the CRISPR/Cas9 plasmid system.
Collapse
Affiliation(s)
- Shahin Eghbalsaied
- Department of Biotechnology, Friedrich-Loeffler-Institut (FLI), Höltystr. 10, 31535, Neustadt, Germany
- Department of Animal Science, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
| | - Iqbal Hyder
- Department of Biotechnology, Friedrich-Loeffler-Institut (FLI), Höltystr. 10, 31535, Neustadt, Germany
| | - Wilfried A Kues
- Department of Biotechnology, Friedrich-Loeffler-Institut (FLI), Höltystr. 10, 31535, Neustadt, Germany.
| |
Collapse
|
35
|
Lai Q, Li Q, He C, Fang Y, Lin S, Cai J, Ding J, Zhong Q, Zhang Y, Wu C, Wang X, He J, Liu Y, Yan Q, Li A, Liu S. CTCF promotes colorectal cancer cell proliferation and chemotherapy resistance to 5-FU via the P53-Hedgehog axis. Aging (Albany NY) 2020; 12:16270-16293. [PMID: 32688344 PMCID: PMC7485712 DOI: 10.18632/aging.103648] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Accepted: 06/19/2020] [Indexed: 12/15/2022]
Abstract
CTCF is overexpressed in several cancers and plays crucial roles in regulating aggressiveness, but little is known about whether CTCF drives colorectal cancer progression. Here, we identified a tumor-promoting role for CTCF in colorectal cancer. Our study demonstrated that CTCF was upregulated in colorectal cancer specimens compared with adjacent noncancerous colorectal tissues. The overexpression of CTCF promoted colorectal cancer cell proliferation and tumor growth, while the opposite effects were observed in CTCF knockdown cells. Increased GLI1, Shh, PTCH1, and PTCH2 levels were observed in CTCF-overexpressing cells using western blot analyses. CCK-8 and apoptosis assays revealed that 5-fluorouracil chemosensitivity was negatively associated with CTCF expression. Furthermore, we identified that P53 is a direct transcriptional target gene of CTCF in colorectal cancer. Western blot and nuclear extract assays showed that inhibition of P53 can counteract Hedgehog signaling pathway repression induced by CTCF knockdown. In conclusion, we uncovered a crucial role for CTCF regulation that possibly involves the P53-Hedgehog axis and highlighted the clinical utility of colorectal cancer-specific potential therapeutic target as disease progression or clinical response biomarkers.
Collapse
Affiliation(s)
- Qiuhua Lai
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Qingyuan Li
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Chengcheng He
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yuxin Fang
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Simin Lin
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jianqun Cai
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jian Ding
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Qian Zhong
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yue Zhang
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Changjie Wu
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Xinke Wang
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Juan He
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yongfeng Liu
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Qun Yan
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Aimin Li
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Side Liu
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| |
Collapse
|
36
|
Coetzee GA. Understanding Non-Mendelian Genetic Risk. Curr Genomics 2020; 20:322-324. [PMID: 32476988 PMCID: PMC7235392 DOI: 10.2174/1389202920666191018085511] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 10/07/2019] [Accepted: 10/07/2019] [Indexed: 12/26/2022] Open
Abstract
This opinion paper highlights strategies for a better understanding of non-Mendelian genetic risk that was revealed by genome-wide association studies (GWAS) of complex diseases. The genetic risk resides predominantly in non-coding regulatory DNA, such as in enhancers. The identification of mechanisms, the causal variants (mainly SNPs), and their target genes are, however, not always apparent but are likely involved in a network of risk determinants; the identification presents a bottle-neck in the full understanding of the genetics of complex phenotypes. Here, we propose strategies to identify functional SNPs and link risk enhancers with their target genes. The strategies are 1) identifying fine-mapped SNPs that break/form response elements within chromatin bio-features in relevant cell types 2) considering the nearest gene on linear DNA, 3) analyzing eQTLs, 4) mapping differential DNA methylation regions and relating them to gene expression, 5) employing genomic editing with CRISPR/cas9 and 6) identifying topological associated chromatin domains using chromatin conformation capture.
Collapse
Affiliation(s)
- Gerhard A Coetzee
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| |
Collapse
|
37
|
Adenine DNA methylation, 3D genome organization, and gene expression in the parasite Trichomonas vaginalis. Proc Natl Acad Sci U S A 2020; 117:13033-13043. [PMID: 32461362 DOI: 10.1073/pnas.1917286117] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Trichomonas vaginalis is a common sexually transmitted parasite that colonizes the human urogenital tract causing infections that range from asymptomatic to highly inflammatory. Recent works have highlighted the importance of histone modifications in the regulation of transcription and parasite pathogenesis. However, the nature of DNA methylation in the parasite remains unexplored. Using a combination of immunological techniques and ultrahigh-performance liquid chromatography (UHPLC), we analyzed the abundance of DNA methylation in strains with differential pathogenicity demonstrating that N6-methyladenine (6mA), and not 5-methylcytosine (5mC), is the main DNA methylation mark in T. vaginalis Genome-wide distribution of 6mA reveals that this mark is enriched at intergenic regions, with a preference for certain superfamilies of DNA transposable elements. We show that 6mA in T. vaginalis is associated with silencing when present on genes. Interestingly, bioinformatics analysis revealed the presence of transcriptionally active or repressive intervals flanked by 6mA-enriched regions, and results from chromatin conformation capture (3C) experiments suggest these 6mA flanked regions are in close spatial proximity. These associations were disrupted when parasites were treated with the demethylation activator ascorbic acid. This finding revealed a role for 6mA in modulating three-dimensional (3D) chromatin structure and gene expression in this divergent member of the Excavata.
Collapse
|
38
|
Stallcup MR, Poulard C. Gene-Specific Actions of Transcriptional Coregulators Facilitate Physiological Plasticity: Evidence for a Physiological Coregulator Code. Trends Biochem Sci 2020; 45:497-510. [PMID: 32413325 DOI: 10.1016/j.tibs.2020.02.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 01/24/2020] [Accepted: 02/10/2020] [Indexed: 01/14/2023]
Abstract
The actions of transcriptional coregulators are highly gene-specific, that is, each coregulator is required only for a subset of the genes regulated by a specific transcription factor. These coregulator-specific gene subsets often represent selected physiological responses among multiple pathways targeted by a transcription factor. Regulating the activity of a coregulator via post-translational modifications would thus affect only a subset of the transcription factor's physiological actions. Using the context of transcriptional regulation by steroid hormone receptors, this review focuses on gene-specific actions of coregulators and evidence linking individual coregulators with specific physiological pathways. Such evidence suggests that there is a 'physiological coregulator code', which represents a fertile area for future research with important clinical implications.
Collapse
Affiliation(s)
- Michael R Stallcup
- Department of Biochemistry and Molecular Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA90089-9176, USA.
| | - Coralie Poulard
- Université de Lyon, F-69000 Lyon, France; Inserm U1052, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France; CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France
| |
Collapse
|
39
|
Walter HC, Weinmann AS. Are You There? Genetic Variation Impacts Long-Distance Connections in Diabetes. Trends Immunol 2020; 41:269-271. [PMID: 32169284 DOI: 10.1016/j.it.2020.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 02/26/2020] [Indexed: 12/22/2022]
Abstract
A new study by Fasolino et al. defines how genetic variation in a mouse model of type 1 diabetes mellitus (T1DM) affects long-distance genomic interactions. The research has widespread implications for understanding how genetic diversity impacts disease susceptibility, and raises important concepts about mechanisms that can be influenced by genetic diversity between individuals.
Collapse
Affiliation(s)
- Hannah C Walter
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Amy S Weinmann
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA.
| |
Collapse
|
40
|
Luo Z, Farnham PJ. Genome-wide analysis of HOXC4 and HOXC6 regulated genes and binding sites in prostate cancer cells. PLoS One 2020; 15:e0228590. [PMID: 32012197 PMCID: PMC6996832 DOI: 10.1371/journal.pone.0228590] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 01/17/2020] [Indexed: 01/12/2023] Open
Abstract
Aberrant expression of HOXC6 and HOXC4 is commonly detected in prostate cancer. The high expression of these transcription factors is associated with aggressive prostate cancer and can predict cancer recurrence after treatment. Thus, HOXC4 and HOXC6 are clinically relevant biomarkers of aggressive prostate cancer. However, the molecular mechanisms by which these HOXC genes contribute to prostate cancer is not yet understood. To begin to address the role of HOXC4 and HOXC6 in prostate cancer, we performed RNA-seq analyses before and after siRNA-mediated knockdown of HOXC4 and/or HOXC6 and also performed ChIP-seq to identify genomic binding sites for both of these transcription factors. Our studies demonstrate that HOXC4 and HOXC6 co-localize with HOXB13, FOXA1 and AR, three transcription factors previously shown to contribute to the development of prostate cancer. We suggest that the aberrantly upregulated HOXC4 and HOXC6 proteins may compete with HOXB13 for binding sites, thus altering the prostate transcriptome. This competition model may be applicable to many different human cancers that display increased expression of a HOX transcription factor.
Collapse
Affiliation(s)
- Zhifei Luo
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Peggy J. Farnham
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
- * E-mail:
| |
Collapse
|
41
|
The 3D Genome as a Target for Anticancer Therapy. Trends Mol Med 2020; 26:141-149. [PMID: 31679987 PMCID: PMC9929230 DOI: 10.1016/j.molmed.2019.09.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 09/23/2019] [Accepted: 09/23/2019] [Indexed: 01/08/2023]
Abstract
The role of 3D genome organization in the precise regulation of gene expression is well established. Accordingly, the mechanistic connections between 3D genome alterations and disease development are becoming increasingly apparent. This opinion article provides a snapshot of our current understanding of the 3D genome alterations associated with cancers. We discuss potential connections of the 3D genome and cancer transcriptional addiction phenomenon as well as molecular mechanisms of action of 3D genome-disrupting drugs. Finally, we highlight issues and perspectives raised by the discovery of the first pharmaceutical strongly affecting 3D genome organization.
Collapse
|
42
|
Epigenetic reprogramming at estrogen-receptor binding sites alters 3D chromatin landscape in endocrine-resistant breast cancer. Nat Commun 2020; 11:320. [PMID: 31949157 PMCID: PMC6965612 DOI: 10.1038/s41467-019-14098-x] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Accepted: 12/17/2019] [Indexed: 02/07/2023] Open
Abstract
Endocrine therapy resistance frequently develops in estrogen receptor positive (ER+) breast cancer, but the underlying molecular mechanisms are largely unknown. Here, we show that 3-dimensional (3D) chromatin interactions both within and between topologically associating domains (TADs) frequently change in ER+ endocrine-resistant breast cancer cells and that the differential interactions are enriched for resistance-associated genetic variants at CTCF-bound anchors. Ectopic chromatin interactions are preferentially enriched at active enhancers and promoters and ER binding sites, and are associated with altered expression of ER-regulated genes, consistent with dynamic remodelling of ER pathways accompanying the development of endocrine resistance. We observe that loss of 3D chromatin interactions often occurs coincidently with hypermethylation and loss of ER binding. Alterations in active A and inactive B chromosomal compartments are also associated with decreased ER binding and atypical interactions and gene expression. Together, our results suggest that 3D epigenome remodelling is a key mechanism underlying endocrine resistance in ER+ breast cancer.
Collapse
|
43
|
Rhie SK, Perez AA, Lay FD, Schreiner S, Shi J, Polin J, Farnham PJ. A high-resolution 3D epigenomic map reveals insights into the creation of the prostate cancer transcriptome. Nat Commun 2019; 10:4154. [PMID: 31515496 PMCID: PMC6742760 DOI: 10.1038/s41467-019-12079-8] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 08/15/2019] [Indexed: 12/27/2022] Open
Abstract
To better understand the impact of chromatin structure on regulation of the prostate cancer transcriptome, we develop high-resolution chromatin interaction maps in normal and prostate cancer cells using in situ Hi-C. By combining the in situ Hi-C data with active and repressive histone marks, CTCF binding sites, nucleosome-depleted regions, and transcriptome profiling, we identify topologically associating domains (TADs) that change in size and epigenetic states between normal and prostate cancer cells. Moreover, we identify normal and prostate cancer-specific enhancer-promoter loops and involved transcription factors. For example, we show that FOXA1 is enriched in prostate cancer-specific enhancer-promoter loop anchors. We also find that the chromatin structure surrounding the androgen receptor (AR) locus is altered in the prostate cancer cells with many cancer-specific enhancer-promoter loops. This creation of 3D epigenomic maps enables a better understanding of prostate cancer biology and mechanisms of gene regulation. In prostate cancer, chromatin structure can impact the transcriptome. Here, the authors develop high resolution chromatin interaction maps in prostate cancer cells using in situ Hi-C, revealing prostate cancer-specific TADs and enhancer-promoter loops surrounding the androgen receptor (AR) locus.
Collapse
Affiliation(s)
- Suhn Kyong Rhie
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA.
| | - Andrew A Perez
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Fides D Lay
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Shannon Schreiner
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Jiani Shi
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Jenevieve Polin
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Peggy J Farnham
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA.
| |
Collapse
|
44
|
Tycko J, Wainberg M, Marinov GK, Ursu O, Hess GT, Ego BK, Aradhana, Li A, Truong A, Trevino AE, Spees K, Yao D, Kaplow IM, Greenside PG, Morgens DW, Phanstiel DH, Snyder MP, Bintu L, Greenleaf WJ, Kundaje A, Bassik MC. Mitigation of off-target toxicity in CRISPR-Cas9 screens for essential non-coding elements. Nat Commun 2019; 10:4063. [PMID: 31492858 PMCID: PMC6731277 DOI: 10.1038/s41467-019-11955-7] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 08/07/2019] [Indexed: 12/26/2022] Open
Abstract
Pooled CRISPR-Cas9 screens are a powerful method for functionally characterizing regulatory elements in the non-coding genome, but off-target effects in these experiments have not been systematically evaluated. Here, we investigate Cas9, dCas9, and CRISPRi/a off-target activity in screens for essential regulatory elements. The sgRNAs with the largest effects in genome-scale screens for essential CTCF loop anchors in K562 cells were not single guide RNAs (sgRNAs) that disrupted gene expression near the on-target CTCF anchor. Rather, these sgRNAs had high off-target activity that, while only weakly correlated with absolute off-target site number, could be predicted by the recently developed GuideScan specificity score. Screens conducted in parallel with CRISPRi/a, which do not induce double-stranded DNA breaks, revealed that a distinct set of off-targets also cause strong confounding fitness effects with these epigenome-editing tools. Promisingly, filtering of CRISPRi libraries using GuideScan specificity scores removed these confounded sgRNAs and enabled identification of essential regulatory elements.
Collapse
Affiliation(s)
- Josh Tycko
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Michael Wainberg
- Department of Computer Science, Stanford University, Stanford, CA, 94305, USA
| | - Georgi K Marinov
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Oana Ursu
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Gaelen T Hess
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Braeden K Ego
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Aradhana
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Amy Li
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Alisa Truong
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Alexandro E Trevino
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Kaitlyn Spees
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - David Yao
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Irene M Kaplow
- Department of Computer Science, Stanford University, Stanford, CA, 94305, USA
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
| | - Peyton G Greenside
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
- Program in Biomedical Informatics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - David W Morgens
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Douglas H Phanstiel
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC, 27599, USA
- Thurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Lacramioara Bintu
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA.
- Department of Applied Physics, Stanford University, Stanford, CA, 94305, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA.
- Department of Computer Science, Stanford University, Stanford, CA, 94305, USA.
| | - Michael C Bassik
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA.
- Chemistry, Engineering, and Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, 94305, USA.
| |
Collapse
|
45
|
The interplay of chromatin and transcription factors during cell fate transitions in development and reprogramming. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2019; 1862:194407. [DOI: 10.1016/j.bbagrm.2019.194407] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 07/18/2019] [Accepted: 07/19/2019] [Indexed: 12/17/2022]
|
46
|
Booms A, Coetzee GA, Pierce SE. MCF-7 as a Model for Functional Analysis of Breast Cancer Risk Variants. Cancer Epidemiol Biomarkers Prev 2019; 28:1735-1745. [PMID: 31292138 DOI: 10.1158/1055-9965.epi-19-0066] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 05/17/2019] [Accepted: 07/02/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Breast cancer genetic predisposition is governed by more than 142 loci as revealed by genome-wide association studies (GWAS). The functional contribution of these risk loci to breast cancer remains unclear, and additional post-GWAS analyses are required. METHODS We identified active regulatory elements (enhancers, promoters, and chromatin organizing elements) by histone H3K27 acetylation and CTCF occupancy and determined the enrichment of risk variants at these sites. We compared these results with previously published data and for other cell lines, including human mammary epithelial cells, and related these data to gene expression. RESULTS In terms of mapping accuracy and resolution, our data augment previous annotations of the MCF-7 epigenome. After intersection with GWAS risk variants, we found 39 enhancers and 15 CTCF occupancy sites that, between them, overlapped 96 breast cancer credible risk variants at 42 loci. These risk enhancers likely regulate the expression of dozens of genes, which are enriched for GO categories, including estrogen and prolactin signaling. CONCLUSIONS Ten (of 142) breast cancer risk loci likely function via enhancers that are active in MCF-7 and are well suited to targeted manipulation in this system. In contrast, risk loci cannot be mapped to specific CTCF-binding sites, and the genes linked to risk CTCF sites did not show functional enrichment. The identity of risk enhancers and their associated genes suggests that some risk may function during later processes in cancer progression. IMPACT Here, we report how the ER+ cell line MCF-7 can be used to dissect risk mechanisms for breast cancer.
Collapse
Affiliation(s)
- Alix Booms
- Center for Neurodegenerative Science, Van Andel Research Institute, Grand Rapids, Michigan
| | - Gerhard A Coetzee
- Center for Neurodegenerative Science, Van Andel Research Institute, Grand Rapids, Michigan.
| | - Steven E Pierce
- Center for Neurodegenerative Science, Van Andel Research Institute, Grand Rapids, Michigan
| |
Collapse
|
47
|
CRISPR/Cas9 guided genome and epigenome engineering and its therapeutic applications in immune mediated diseases. Semin Cell Dev Biol 2019; 96:32-43. [PMID: 31112800 DOI: 10.1016/j.semcdb.2019.05.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 05/09/2019] [Accepted: 05/10/2019] [Indexed: 12/21/2022]
Abstract
Recent developments in the nucleic acid editing technologies have provided a powerful tool to precisely engineer the genome and epigenome for studying many aspects of immune cell differentiation and development as well as several immune mediated diseases (IMDs) including autoimmunity and cancer. Here, we discuss the recent technological achievements of the CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based RNA-guided genome and epigenome editing toolkit and provide an insight into how CRISPR/Cas9 (CRISPR Associated Protein 9) toolbox could be used to examine genetic and epigenetic mechanisms underlying IMDs. In addition, we will review the progress in CRISPR/Cas9-based genome-wide genome and epigenome screens in various cell types including immune cells. Finally, we will discuss the potential of CRISPR/Cas9 in defining the molecular function of disease associated SNPs overlapping gene regulatory elements.
Collapse
|
48
|
Dysregulated Transcriptional Control in Prostate Cancer. Int J Mol Sci 2019; 20:ijms20122883. [PMID: 31200487 PMCID: PMC6627928 DOI: 10.3390/ijms20122883] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 06/06/2019] [Accepted: 06/07/2019] [Indexed: 12/24/2022] Open
Abstract
Recent advances in whole-genome and transcriptome sequencing of prostate cancer at different stages indicate that a large number of mutations found in tumors are present in non-protein coding regions of the genome and lead to dysregulated gene expression. Single nucleotide variations and small mutations affecting the recruitment of transcription factor complexes to DNA regulatory elements are observed in an increasing number of cases. Genomic rearrangements may position coding regions under the novel control of regulatory elements, as exemplified by the TMPRSS2-ERG fusion and the amplified enhancer identified upstream of the androgen receptor (AR) gene. Super-enhancers are increasingly found to play important roles in aberrant oncogenic transcription. Several players involved in these processes are currently being evaluated as drug targets and may represent new vulnerabilities that can be exploited for prostate cancer treatment. They include factors involved in enhancer and super-enhancer function such as bromodomain proteins and cyclin-dependent kinases. In addition, non-coding RNAs with an important gene regulatory role are being explored. The rapid progress made in understanding the influence of the non-coding part of the genome and of transcription dysregulation in prostate cancer could pave the way for the identification of novel treatment paradigms for the benefit of patients.
Collapse
|
49
|
Braadland PR, Urbanucci A. Chromatin reprogramming as an adaptation mechanism in advanced prostate cancer. Endocr Relat Cancer 2019; 26:R211-R235. [PMID: 30844748 DOI: 10.1530/erc-18-0579] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 02/15/2019] [Indexed: 12/13/2022]
Abstract
Tumor evolution is based on the ability to constantly mutate and activate different pathways under the selective pressure of targeted therapies. Epigenetic alterations including those of the chromatin structure are associated with tumor initiation, progression and drug resistance. Many cancers, including prostate cancer, present enlarged nuclei, and chromatin appears altered and irregular. These phenotypic changes are likely to result from epigenetic dysregulation. High-throughput sequencing applied to bulk samples and now to single cells has made it possible to study these processes in unprecedented detail. It is therefore timely to review the impact of chromatin relaxation and increased DNA accessibility on prostate cancer growth and drug resistance, and their effects on gene expression. In particular, we focus on the contribution of chromatin-associated proteins such as the bromodomain-containing proteins to chromatin relaxation. We discuss the consequence of this for androgen receptor transcriptional activity and briefly summarize wider gain-of-function effects on other oncogenic transcription factors and implications for more effective prostate cancer treatment.
Collapse
Affiliation(s)
- Peder Rustøen Braadland
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alfonso Urbanucci
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway
- Centre for Molecular Medicine Norway, Nordic European Molecular Biology Laboratory Partnership, Forskningsparken, University of Oslo, Oslo, Norway
| |
Collapse
|
50
|
Yao Y. Genome editing: from tools to biological insights. Genome Biol 2018; 19:186. [PMID: 30400928 PMCID: PMC6219208 DOI: 10.1186/s13059-018-1570-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Yixin Yao
- Genome Biology, BMC, Shanghai, 200040, China.
| |
Collapse
|