1
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Gisch DL, Brennan M, Lake BB, Basta J, Keller MS, Melo Ferreira R, Akilesh S, Ghag R, Lu C, Cheng YH, Collins KS, Parikh SV, Rovin BH, Robbins L, Stout L, Conklin KY, Diep D, Zhang B, Knoten A, Barwinska D, Asghari M, Sabo AR, Ferkowicz MJ, Sutton TA, Kelly KJ, De Boer IH, Rosas SE, Kiryluk K, Hodgin JB, Alakwaa F, Winfree S, Jefferson N, Türkmen A, Gaut JP, Gehlenborg N, Phillips CL, El-Achkar TM, Dagher PC, Hato T, Zhang K, Himmelfarb J, Kretzler M, Mollah S, Jain S, Rauchman M, Eadon MT. The chromatin landscape of healthy and injured cell types in the human kidney. Nat Commun 2024; 15:433. [PMID: 38199997 PMCID: PMC10781985 DOI: 10.1038/s41467-023-44467-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 12/14/2023] [Indexed: 01/12/2024] Open
Abstract
There is a need to define regions of gene activation or repression that control human kidney cells in states of health, injury, and repair to understand the molecular pathogenesis of kidney disease and design therapeutic strategies. Comprehensive integration of gene expression with epigenetic features that define regulatory elements remains a significant challenge. We measure dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and H3K27ac, H3K4me1, H3K4me3, and H3K27me3 histone modifications to decipher the chromatin landscape and gene regulation of the kidney in reference and adaptive injury states. We establish a spatially-anchored epigenomic atlas to define the kidney's active, silent, and regulatory accessible chromatin regions across the genome. Using this atlas, we note distinct control of adaptive injury in different epithelial cell types. A proximal tubule cell transcription factor network of ELF3, KLF6, and KLF10 regulates the transition between health and injury, while in thick ascending limb cells this transition is regulated by NR2F1. Further, combined perturbation of ELF3, KLF6, and KLF10 distinguishes two adaptive proximal tubular cell subtypes, one of which manifested a repair trajectory after knockout. This atlas will serve as a foundation to facilitate targeted cell-specific therapeutics by reprogramming gene regulatory networks.
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Affiliation(s)
- Debora L Gisch
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | | | - Blue B Lake
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Jeannine Basta
- Washington University in Saint Louis, St. Louis, MO, 63103, USA
| | | | | | | | - Reetika Ghag
- Washington University in Saint Louis, St. Louis, MO, 63103, USA
| | - Charles Lu
- Washington University in Saint Louis, St. Louis, MO, 63103, USA
| | - Ying-Hua Cheng
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | | | - Samir V Parikh
- Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Brad H Rovin
- Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Lynn Robbins
- St. Louis Veteran Affairs Medical Center, St. Louis, MO, 63106, USA
| | - Lisa Stout
- Washington University in Saint Louis, St. Louis, MO, 63103, USA
| | - Kimberly Y Conklin
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Dinh Diep
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Bo Zhang
- Washington University in Saint Louis, St. Louis, MO, 63103, USA
| | - Amanda Knoten
- Washington University in Saint Louis, St. Louis, MO, 63103, USA
| | - Daria Barwinska
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Mahla Asghari
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Angela R Sabo
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | | | - Timothy A Sutton
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | | | | | - Sylvia E Rosas
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, 02215, USA
| | | | | | | | - Seth Winfree
- University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Nichole Jefferson
- Kidney Precision Medicine Project Community Engagement Committee, Dallas, TX, USA
| | - Aydın Türkmen
- Istanbul School of Medicine, Division of Nephrology, Istanbul, Turkey
| | - Joseph P Gaut
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | | | | | | | - Pierre C Dagher
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Takashi Hato
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Kun Zhang
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | | | | | - Shamim Mollah
- Washington University in Saint Louis, St. Louis, MO, 63103, USA
| | - Sanjay Jain
- Washington University in Saint Louis, St. Louis, MO, 63103, USA.
| | - Michael Rauchman
- Washington University in Saint Louis, St. Louis, MO, 63103, USA.
| | - Michael T Eadon
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
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2
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Lake BB, Menon R, Winfree S, Hu Q, Melo Ferreira R, Kalhor K, Barwinska D, Otto EA, Ferkowicz M, Diep D, Plongthongkum N, Knoten A, Urata S, Mariani LH, Naik AS, Eddy S, Zhang B, Wu Y, Salamon D, Williams JC, Wang X, Balderrama KS, Hoover PJ, Murray E, Marshall JL, Noel T, Vijayan A, Hartman A, Chen F, Waikar SS, Rosas SE, Wilson FP, Palevsky PM, Kiryluk K, Sedor JR, Toto RD, Parikh CR, Kim EH, Satija R, Greka A, Macosko EZ, Kharchenko PV, Gaut JP, Hodgin JB, Eadon MT, Dagher PC, El-Achkar TM, Zhang K, Kretzler M, Jain S. An atlas of healthy and injured cell states and niches in the human kidney. Nature 2023; 619:585-594. [PMID: 37468583 PMCID: PMC10356613 DOI: 10.1038/s41586-023-05769-3] [Citation(s) in RCA: 63] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 01/30/2023] [Indexed: 07/21/2023]
Abstract
Understanding kidney disease relies on defining the complexity of cell types and states, their associated molecular profiles and interactions within tissue neighbourhoods1. Here we applied multiple single-cell and single-nucleus assays (>400,000 nuclei or cells) and spatial imaging technologies to a broad spectrum of healthy reference kidneys (45 donors) and diseased kidneys (48 patients). This has provided a high-resolution cellular atlas of 51 main cell types, which include rare and previously undescribed cell populations. The multi-omic approach provides detailed transcriptomic profiles, regulatory factors and spatial localizations spanning the entire kidney. We also define 28 cellular states across nephron segments and interstitium that were altered in kidney injury, encompassing cycling, adaptive (successful or maladaptive repair), transitioning and degenerative states. Molecular signatures permitted the localization of these states within injury neighbourhoods using spatial transcriptomics, while large-scale 3D imaging analysis (around 1.2 million neighbourhoods) provided corresponding linkages to active immune responses. These analyses defined biological pathways that are relevant to injury time-course and niches, including signatures underlying epithelial repair that predicted maladaptive states associated with a decline in kidney function. This integrated multimodal spatial cell atlas of healthy and diseased human kidneys represents a comprehensive benchmark of cellular states, neighbourhoods, outcome-associated signatures and publicly available interactive visualizations.
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Affiliation(s)
- Blue B Lake
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Rajasree Menon
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Seth Winfree
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Qiwen Hu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Ricardo Melo Ferreira
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kian Kalhor
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Daria Barwinska
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Edgar A Otto
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Michael Ferkowicz
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Dinh Diep
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Nongluk Plongthongkum
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Amanda Knoten
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Sarah Urata
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Laura H Mariani
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Abhijit S Naik
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Sean Eddy
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Bo Zhang
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Yan Wu
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Diane Salamon
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - James C Williams
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xin Wang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Paul J Hoover
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Evan Murray
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Teia Noel
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Anitha Vijayan
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | | | - Fei Chen
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Sushrut S Waikar
- Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Sylvia E Rosas
- Kidney and Hypertension Unit, Joslin Diabetes Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Francis P Wilson
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Paul M Palevsky
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - John R Sedor
- Lerner Research and Glickman Urology and Kidney Institutes, Cleveland Clinic, Cleveland, OH, USA
| | - Robert D Toto
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Chirag R Parikh
- Division of Nephrology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Eric H Kim
- Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
| | | | - Anna Greka
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Peter V Kharchenko
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Joseph P Gaut
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Jeffrey B Hodgin
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Michael T Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Pierre C Dagher
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Tarek M El-Achkar
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Kun Zhang
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA.
| | - Matthias Kretzler
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA.
| | - Sanjay Jain
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA.
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA.
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3
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Gisch DL, Brennan M, Lake BB, Basta J, Keller M, Ferreira RM, Akilesh S, Ghag R, Lu C, Cheng YH, Collins KS, Parikh SV, Rovin BH, Robbins L, Conklin KY, Diep D, Zhang B, Knoten A, Barwinska D, Asghari M, Sabo AR, Ferkowicz MJ, Sutton TA, Kelly KJ, Boer IHD, Rosas SE, Kiryluk K, Hodgin JB, Alakwaa F, Jefferson N, Gaut JP, Gehlenborg N, Phillips CL, El-Achkar TM, Dagher PC, Hato T, Zhang K, Himmelfarb J, Kretzler M, Mollah S, Jain S, Rauchman M, Eadon MT. The chromatin landscape of healthy and injured cell types in the human kidney. bioRxiv 2023:2023.06.07.543965. [PMID: 37333123 PMCID: PMC10274789 DOI: 10.1101/2023.06.07.543965] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
There is a need to define regions of gene activation or repression that control human kidney cells in states of health, injury, and repair to understand the molecular pathogenesis of kidney disease and design therapeutic strategies. However, comprehensive integration of gene expression with epigenetic features that define regulatory elements remains a significant challenge. We measured dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and H3K27ac, H3K4me1, H3K4me3, and H3K27me3 histone modifications to decipher the chromatin landscape and gene regulation of the kidney in reference and adaptive injury states. We established a comprehensive and spatially-anchored epigenomic atlas to define the kidney's active, silent, and regulatory accessible chromatin regions across the genome. Using this atlas, we noted distinct control of adaptive injury in different epithelial cell types. A proximal tubule cell transcription factor network of ELF3 , KLF6 , and KLF10 regulated the transition between health and injury, while in thick ascending limb cells this transition was regulated by NR2F1 . Further, combined perturbation of ELF3 , KLF6 , and KLF10 distinguished two adaptive proximal tubular cell subtypes, one of which manifested a repair trajectory after knockout. This atlas will serve as a foundation to facilitate targeted cell-specific therapeutics by reprogramming gene regulatory networks.
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4
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Uzun Y, Grossmann LD, Chen CH, Thadi A, Wu CY, Gao P, Diep D, Surrey L, Martinez D, Patel T, Qiu Q, Johnson S, Yu W, Drabings S, Chen C, Hu Y, Chen G, Oldridge DA, Zhang K, Wu H, Bernt K, Zhang N, Maris JM, Tan K. Abstract 6051: Longitudinal single-cell sequencing of high-risk neuroblastoma tumors reveals intrinsic and extrinsic mechanisms of therapy resistance. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-6051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Neuroblastoma is a childhood cancer originating from embryonic neuronal progenitor cells and is the most common cancer diagnosed in infants. Although the majority of patients respond to initial chemotherapy, most high-risk patients suffer relapse due to therapy resistance.
Here, we generated single-cell transcriptome and bulk whole-genome sequencing data of diagnosis and post-therapy samples from 23 patients diagnosed with high-risk neuroblastoma. We found two distinct adrenergic populations in the patient samples. Most tumor cells showed a mature sympathoblast phenotype whereas a small fraction was in an undifferentiated state with activation of protein translation, unfolded protein, and oxidative phosphorylation pathways. We found that therapy-resistant tumor cells in these two subpopulations had distinct characteristics. The more mature resistant subpopulation upregulated genes associated with epithelial-to-mesenchymal transition, including TWIST1, PLCB1 and CD276. The undifferentiated resistant subpopulation upregulated Ras signal transduction and TP53 pathway genes.
Analysis of the immune microenvironment revealed that most tumor-associated macrophages became more immunosuppressive post-therapy via multiple newly gained signaling interactions including the complement signaling pathway. We discovered a limited infiltration of T lymphocytes in the tumor microenvironment, and chemotherapy induced an effector state with upregulated mTOR signaling and metabolism. Overall, our study revealed subpopulations of tumor cells in neuroblastoma that responded differently to induction chemotherapy. Our findings uncovered distinct molecular signatures of the resistant cells and their interactions with the immune microenvironment, paving the way for developing novel therapies for high-risk neuroblastoma.
Citation Format: Yasin Uzun, Liron D. Grossmann, Chia-Hui Chen, Anusha Thadi, Chi-Yun Wu, Peng Gao, Dinh Diep, Lea Surrey, Daniel Martinez, Tasleema Patel, Qi Qiu, Sarah Johnson, Wenbao Yu, Shane Drabings, Changya Chen, Yuxuan Hu, Gregory Chen, Derek A. Oldridge, Kun Zhang, Hao Wu, Kathrin Bernt, Nancy Zhang, John M. Maris, Kai Tan. Longitudinal single-cell sequencing of high-risk neuroblastoma tumors reveals intrinsic and extrinsic mechanisms of therapy resistance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 6051.
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Affiliation(s)
- Yasin Uzun
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Chia-Hui Chen
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | - Anusha Thadi
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | - Chi-Yun Wu
- 2University of Pennsylvania, Philadelphia, PA
| | - Peng Gao
- 3Xi’an Jiao Tong University, Xi’an, China
| | - Dinh Diep
- 4University of California San Diego, San Diego, CA
| | - Lea Surrey
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Qi Qiu
- 2University of Pennsylvania, Philadelphia, PA
| | | | - Wenbao Yu
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Changya Chen
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | | | - Kun Zhang
- 4University of California San Diego, San Diego, CA
| | - Hao Wu
- 2University of Pennsylvania, Philadelphia, PA
| | - Kathrin Bernt
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | - Nancy Zhang
- 2University of Pennsylvania, Philadelphia, PA
| | - John M. Maris
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | - Kai Tan
- 1Children's Hospital of Philadelphia, Philadelphia, PA
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5
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Grossmann LD, Uzun Y, Lindsay J, Chen CH, Wingrove C, Gao P, Thadi A, Marshall Q, Kendsersky NM, Surrey L, Martinez D, Mycek E, Casey C, Krytska K, Tsang M, Wolpaw A, Groff DN, Runbeck E, McDevitt J, Diep D, Patel T, Bernt KM, Dang C, Zhang K, Mosse YP, Tan K, Maris JM. Abstract 699: NF-kB is a master regulator of resistance to therapy in high-risk neuroblastoma. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
BACKGROUND High-risk neuroblastoma is a pediatric cancer arising from the developing sympathetic nervous system with a 50% relapse rate that is typically fatal. At least two subpopulations of neuroblastoma cells exist that can transdifferentiate, adrenergic and mesenchymal, the latter being more resistant to chemotherapy. Mechanisms of therapy resistance are largely unknown and the cells responsible for relapse have not been identified.
METHODS We used single nucleus RNA and ATAC sequencing to identify and characterize the cells that survive chemotherapy, termed here “persister cells”, from a cohort of 20 matched diagnostic and post induction chemotherapyhigh-risk neuroblastoma patients and two patient derived xenograft (PDX) models from diagnostic tumors. Eight representative cell lines derived from neuroblastomas at diagnosis were treated with standard-of-care chemotherapy, and flow cytometry was used to sort for live cells. ML120B and CRISPR-CAS9 were used to modulate NF-kB signaling. An RNA-seq dataset of 153 high-risk neuroblastoma patients was used to determine differentially activated pathways between adrenergic and mesenchymal tumors.
RESULTS Residual malignant cells in the post-chemotherapy tumor samples clustered into three main groups separated by the response to therapy. The most prevalent group of persister cells in responders (N=16/20) displayed low MYC(N) activity even in the presence of MYCN amplification. This group also demonstrated decreased expression of the adrenergic core regulatory circuit genes including PHOX2B, ISL1, HAND2, along with marked activation of TNF-alpha via NF-kB signaling. High NF-kB activity was found in a subpopulation of diagnostic cells in two chemo-refractory patients. We validated decreased expression of MYCN (2-fold decrease, p<0.0001) and PHOX2B (3.13-fold decrease, p<0.0001) in PDXs following chemotherapy. MYCN protein levels were decreased and nuclear p65 levels were increased in cell lines treated with chemotherapy. Pharmacologic inhibition of NF-kB signaling and genetic depletion of p65 resulted in increased killing (3.58-fold increase, p=0.0012) of neuroblastoma cell lines in response to chemotherapy. Finally, we classified 153 diagnostic high-risk neuroblastomas as predominantly adrenergic or mesenchymal using RNA-seq, showing that mesenchymal tumors were enriched with NF-kB pathway activation signatures. We then validated high nuclear p65 levels in 3 mesenchymal cell lines. We tested 6 adrenergic lines, 4 of which had no detectable nuclear p65. Notably, the 2 cell lines with detectable nuclear p65 were derived from diagnostic specimens that showed de novo chemotherapy resistance.
CONCLUSIONS NF-kB activation is a major mediator of de novo and acquired chemotherapy resistance in high-risk neuroblastoma. We postulate that concomitant silencing of this pathway could eliminate persister cells and prevent disease relapse.
Citation Format: Liron D. Grossmann, Yasin Uzun, Jarrett Lindsay, Chia-Hui Chen, Catherine Wingrove, Peng Gao, Anusha Thadi, Quinlen Marshall, Nathan M. Kendsersky, Lea Surrey, Daniel Martinez, Emily Mycek, Colleen Casey, Kateryna Krytska, Matthew Tsang, Adam Wolpaw, David N. Groff, Erin Runbeck, Jayne McDevitt, Dinh Diep, Tasleema Patel, Kathrin M. Bernt, Chi Dang, Kun Zhang, Yael P. Mosse, Kai Tan, John M. Maris. NF-kB is a master regulator of resistance to therapy in high-risk neuroblastoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 699.
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Affiliation(s)
| | - Yasin Uzun
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Chia-Hui Chen
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Peng Gao
- 3Xidian University, Xi'an, China
| | - Anusha Thadi
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Lea Surrey
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Emily Mycek
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | - Colleen Casey
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Matthew Tsang
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | - Adam Wolpaw
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Erin Runbeck
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Dinh Diep
- 5University of California San Diego, La Jolla, CA
| | | | | | - Chi Dang
- 2University of Pennsylvania, Philadelphia, PA
| | - Kun Zhang
- 5University of California San Diego, La Jolla, CA
| | - Yael P. Mosse
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | - Kai Tan
- 1Children's Hospital of Philadelphia, Philadelphia, PA
| | - John M. Maris
- 1Children's Hospital of Philadelphia, Philadelphia, PA
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6
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Plongthongkum N, Diep D, Chen S, Lake BB, Zhang K. Scalable dual-omics profiling with single-nucleus chromatin accessibility and mRNA expression sequencing 2 (SNARE-seq2). Nat Protoc 2021; 16:4992-5029. [PMID: 34650278 DOI: 10.1038/s41596-021-00507-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 01/14/2021] [Indexed: 02/08/2023]
Abstract
Comprehensive characterization of cellular heterogeneity and the underlying regulatory landscapes of tissues and organs requires a highly robust and scalable method to acquire matched RNA and chromatin accessibility profiles on the same cells. Here, we describe a single-nucleus chromatin accessibility and mRNA expression sequencing 2 (SNARE-seq2) assay, implemented with cellular combinatorial indexing. This method involves tagmentation within permeabilized and fixed single-nucleus isolates to capture accessible chromatin (AC) regions, followed by the capture and reverse transcription of RNA transcripts. Through combinatorial split pool ligations, cDNA and AC within each single nucleus become appended with a common cell barcode combination. The captured cDNA and AC are then co-amplified before splitting and enrichment into single-nucleus RNA and single-nucleus AC sequencing libraries. This protocol is compatible with both nuclei and whole cells and can be completed in 3.5 d. SNARE-seq2 permits robust generation of high-quality, joint single-cell RNA and AC sequencing libraries from hundreds of thousands of single cells per experiment.
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Affiliation(s)
- Nongluk Plongthongkum
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA.,Biological Engineering Program, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand
| | - Dinh Diep
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Song Chen
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Blue B Lake
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Kun Zhang
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
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7
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Bakken TE, Jorstad NL, Hu Q, Lake BB, Tian W, Kalmbach BE, Crow M, Hodge RD, Krienen FM, Sorensen SA, Eggermont J, Yao Z, Aevermann BD, Aldridge AI, Bartlett A, Bertagnolli D, Casper T, Castanon RG, Crichton K, Daigle TL, Dalley R, Dee N, Dembrow N, Diep D, Ding SL, Dong W, Fang R, Fischer S, Goldman M, Goldy J, Graybuck LT, Herb BR, Hou X, Kancherla J, Kroll M, Lathia K, van Lew B, Li YE, Liu CS, Liu H, Lucero JD, Mahurkar A, McMillen D, Miller JA, Moussa M, Nery JR, Nicovich PR, Niu SY, Orvis J, Osteen JK, Owen S, Palmer CR, Pham T, Plongthongkum N, Poirion O, Reed NM, Rimorin C, Rivkin A, Romanow WJ, Sedeño-Cortés AE, Siletti K, Somasundaram S, Sulc J, Tieu M, Torkelson A, Tung H, Wang X, Xie F, Yanny AM, Zhang R, Ament SA, Behrens MM, Bravo HC, Chun J, Dobin A, Gillis J, Hertzano R, Hof PR, Höllt T, Horwitz GD, Keene CD, Kharchenko PV, Ko AL, Lelieveldt BP, Luo C, Mukamel EA, Pinto-Duarte A, Preissl S, Regev A, Ren B, Scheuermann RH, Smith K, Spain WJ, White OR, Koch C, Hawrylycz M, Tasic B, Macosko EZ, McCarroll SA, Ting JT, Zeng H, Zhang K, Feng G, Ecker JR, Linnarsson S, Lein ES. Comparative cellular analysis of motor cortex in human, marmoset and mouse. Nature 2021; 598:111-119. [PMID: 34616062 PMCID: PMC8494640 DOI: 10.1038/s41586-021-03465-8] [Citation(s) in RCA: 258] [Impact Index Per Article: 86.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 03/17/2021] [Indexed: 12/11/2022]
Abstract
The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally conserved across mammals1. Here, using high-throughput transcriptomic and epigenomic profiling of more than 450,000 single nuclei in humans, marmoset monkeys and mice, we demonstrate a broadly conserved cellular makeup of this region, with similarities that mirror evolutionary distance and are consistent between the transcriptome and epigenome. The core conserved molecular identities of neuronal and non-neuronal cell types allow us to generate a cross-species consensus classification of cell types, and to infer conserved properties of cell types across species. Despite the overall conservation, however, many species-dependent specializations are apparent, including differences in cell-type proportions, gene expression, DNA methylation and chromatin state. Few cell-type marker genes are conserved across species, revealing a short list of candidate genes and regulatory mechanisms that are responsible for conserved features of homologous cell types, such as the GABAergic chandelier cells. This consensus transcriptomic classification allows us to use patch-seq (a combination of whole-cell patch-clamp recordings, RNA sequencing and morphological characterization) to identify corticospinal Betz cells from layer 5 in non-human primates and humans, and to characterize their highly specialized physiology and anatomy. These findings highlight the robust molecular underpinnings of cell-type diversity in M1 across mammals, and point to the genes and regulatory pathways responsible for the functional identity of cell types and their species-specific adaptations.
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Affiliation(s)
| | | | - Qiwen Hu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Blue B Lake
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Wei Tian
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Brian E Kalmbach
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Megan Crow
- Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | - Fenna M Krienen
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | | | - Jeroen Eggermont
- LKEB, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Andrew I Aldridge
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Anna Bartlett
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | | | - Rosa G Castanon
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | | | | | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Nikolai Dembrow
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
- Epilepsy Center of Excellence, Department of Veterans Affairs Medical Center, Seattle, WA, USA
| | - Dinh Diep
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | | | - Weixiu Dong
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Rongxin Fang
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA
| | - Stephan Fischer
- Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Melissa Goldman
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Brian R Herb
- Institute for Genomes Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Xiaomeng Hou
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Jayaram Kancherla
- Department of Computer Science, University of Maryland College Park, College Park, MD, USA
| | | | - Kanan Lathia
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Baldur van Lew
- LKEB, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Yang Eric Li
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Christine S Liu
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
- Biomedical Sciences Program, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Hanqing Liu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | - Anup Mahurkar
- Institute for Genomes Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | | | | | - Joseph R Nery
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | - Sheng-Yong Niu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Computer Science and Engineering Program, University of California, San Diego, La Jolla, CA, USA
| | - Joshua Orvis
- Institute for Genomes Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Julia K Osteen
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Scott Owen
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Carter R Palmer
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
- Biomedical Sciences Program, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Thanh Pham
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Nongluk Plongthongkum
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Olivier Poirion
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Nora M Reed
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | | | - Angeline Rivkin
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - William J Romanow
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | | | - Kimberly Siletti
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | | | - Josef Sulc
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Herman Tung
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Xinxin Wang
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Fangming Xie
- Department of Physics, University of California, San Diego, La Jolla, CA, USA
| | | | - Renee Zhang
- J. Craig Venter Institute, La Jolla, CA, USA
| | - Seth A Ament
- Institute for Genomes Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Hector Corrada Bravo
- Department of Computer Science, University of Maryland College Park, College Park, MD, USA
| | - Jerold Chun
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | | | - Jesse Gillis
- Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Ronna Hertzano
- Departments of Otorhinolaryngology, Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Patrick R Hof
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas Höllt
- Computer Graphics and Visualization Group, Delt University of Technology, Delft, The Netherlands
| | - Gregory D Horwitz
- Department of Physiology and Biophysics, Washington National Primate Research Center, University of Washington, Seattle, WA, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Peter V Kharchenko
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Andrew L Ko
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, USA
- Regional Epilepsy Center, Harborview Medical Center, Seattle, WA, USA
| | - Boudewijn P Lelieveldt
- LKEB, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Pattern Recognition and Bioinformatics group, Delft University of Technology, Delft, The Netherlands
| | - Chongyuan Luo
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Eran A Mukamel
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
| | | | - Sebastian Preissl
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bing Ren
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Richard H Scheuermann
- J. Craig Venter Institute, La Jolla, CA, USA
- Department of Pathology, University of California, San Diego, CA, USA
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA
| | | | - William J Spain
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
- Epilepsy Center of Excellence, Department of Veterans Affairs Medical Center, Seattle, WA, USA
| | - Owen R White
- Institute for Genomes Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | | | | | | | - Steven A McCarroll
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jonathan T Ting
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Kun Zhang
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Guoping Feng
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joseph R Ecker
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Sten Linnarsson
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA.
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8
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Callaway EM, Dong HW, Ecker JR, Hawrylycz MJ, Huang ZJ, Lein ES, Ngai J, Osten P, Ren B, Tolias AS, White O, Zeng H, Zhuang X, Ascoli GA, Behrens MM, Chun J, Feng G, Gee JC, Ghosh SS, Halchenko YO, Hertzano R, Lim BK, Martone ME, Ng L, Pachter L, Ropelewski AJ, Tickle TL, Yang XW, Zhang K, Bakken TE, Berens P, Daigle TL, Harris JA, Jorstad NL, Kalmbach BE, Kobak D, Li YE, Liu H, Matho KS, Mukamel EA, Naeemi M, Scala F, Tan P, Ting JT, Xie F, Zhang M, Zhang Z, Zhou J, Zingg B, Armand E, Yao Z, Bertagnolli D, Casper T, Crichton K, Dee N, Diep D, Ding SL, Dong W, Dougherty EL, Fong O, Goldman M, Goldy J, Hodge RD, Hu L, Keene CD, Krienen FM, Kroll M, Lake BB, Lathia K, Linnarsson S, Liu CS, Macosko EZ, McCarroll SA, McMillen D, Nadaf NM, Nguyen TN, Palmer CR, Pham T, Plongthongkum N, Reed NM, Regev A, Rimorin C, Romanow WJ, Savoia S, Siletti K, Smith K, Sulc J, Tasic B, Tieu M, Torkelson A, Tung H, van Velthoven CTJ, Vanderburg CR, Yanny AM, Fang R, Hou X, Lucero JD, Osteen JK, Pinto-Duarte A, Poirion O, Preissl S, Wang X, Aldridge AI, Bartlett A, Boggeman L, O’Connor C, Castanon RG, Chen H, Fitzpatrick C, Luo C, Nery JR, Nunn M, Rivkin AC, Tian W, Dominguez B, Ito-Cole T, Jacobs M, Jin X, Lee CT, Lee KF, Miyazaki PA, Pang Y, Rashid M, Smith JB, Vu M, Williams E, Biancalani T, Booeshaghi AS, Crow M, Dudoit S, Fischer S, Gillis J, Hu Q, Kharchenko PV, Niu SY, Ntranos V, Purdom E, Risso D, de Bézieux HR, Somasundaram S, Street K, Svensson V, Vaishnav ED, Van den Berge K, Welch JD, An X, Bateup HS, Bowman I, Chance RK, Foster NN, Galbavy W, Gong H, Gou L, Hatfield JT, Hintiryan H, Hirokawa KE, Kim G, Kramer DJ, Li A, Li X, Luo Q, Muñoz-Castañeda R, Stafford DA, Feng Z, Jia X, Jiang S, Jiang T, Kuang X, Larsen R, Lesnar P, Li Y, Li Y, Liu L, Peng H, Qu L, Ren M, Ruan Z, Shen E, Song Y, Wakeman W, Wang P, Wang Y, Wang Y, Yin L, Yuan J, Zhao S, Zhao X, Narasimhan A, Palaniswamy R, Banerjee S, Ding L, Huilgol D, Huo B, Kuo HC, Laturnus S, Li X, Mitra PP, Mizrachi J, Wang Q, Xie P, Xiong F, Yu Y, Eichhorn SW, Berg J, Bernabucci M, Bernaerts Y, Cadwell CR, Castro JR, Dalley R, Hartmanis L, Horwitz GD, Jiang X, Ko AL, Miranda E, Mulherkar S, Nicovich PR, Owen SF, Sandberg R, Sorensen SA, Tan ZH, Allen S, Hockemeyer D, Lee AY, Veldman MB, Adkins RS, Ament SA, Bravo HC, Carter R, Chatterjee A, Colantuoni C, Crabtree J, Creasy H, Felix V, Giglio M, Herb BR, Kancherla J, Mahurkar A, McCracken C, Nickel L, Olley D, Orvis J, Schor M, Hood G, Dichter B, Grauer M, Helba B, Bandrowski A, Barkas N, Carlin B, D’Orazi FD, Degatano K, Gillespie TH, Khajouei F, Konwar K, Thompson C, Kelly K, Mok S, Sunkin S. A multimodal cell census and atlas of the mammalian primary motor cortex. Nature 2021; 598:86-102. [PMID: 34616075 PMCID: PMC8494634 DOI: 10.1038/s41586-021-03950-0] [Citation(s) in RCA: 205] [Impact Index Per Article: 68.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 08/25/2021] [Indexed: 12/14/2022]
Abstract
Here we report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties and cellular resolution input-output mapping, integrated through cross-modal computational analysis. Our results advance the collective knowledge and understanding of brain cell-type organization1-5. First, our study reveals a unified molecular genetic landscape of cortical cell types that integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a consensus taxonomy of transcriptomic types and their hierarchical organization that is conserved from mouse to marmoset and human. Third, in situ single-cell transcriptomics provides a spatially resolved cell-type atlas of the motor cortex. Fourth, cross-modal analysis provides compelling evidence for the transcriptomic, epigenomic and gene regulatory basis of neuronal phenotypes such as their physiological and anatomical properties, demonstrating the biological validity and genomic underpinning of neuron types. We further present an extensive genetic toolset for targeting glutamatergic neuron types towards linking their molecular and developmental identity to their circuit function. Together, our results establish a unifying and mechanistic framework of neuronal cell-type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties.
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9
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Reilly BM, Luger T, Park S, Lio CWJ, González-Avalos E, Wheeler EC, Lee M, Williamson L, Tanaka T, Diep D, Zhang K, Huang Y, Rao A, Bejar R. 5-Azacytidine Transiently Restores Dysregulated Erythroid Differentiation Gene Expression in TET2-Deficient Erythroleukemia Cells. Mol Cancer Res 2021; 19:451-464. [PMID: 33172974 PMCID: PMC7925369 DOI: 10.1158/1541-7786.mcr-20-0453] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 10/05/2020] [Accepted: 11/04/2020] [Indexed: 11/16/2022]
Abstract
DNA methyltransferase inhibitors (DNMTI) like 5-Azacytidine (5-Aza) are the only disease-modifying drugs approved for the treatment of higher-risk myelodysplastic syndromes (MDS), however less than 50% of patients respond, and there are no predictors of response with clinical utility. Somatic mutations in the DNA methylation regulating gene tet-methylcytosine dioxygenase 2 (TET2) are associated with response to DNMTIs, however the mechanisms responsible for this association remain unknown. Using bisulfite padlock probes, mRNA sequencing, and hydroxymethylcytosine pull-down sequencing at several time points throughout 5-Aza treatment, we show that TET2 loss particularly influences DNA methylation (5mC) and hydroxymethylation (5hmC) patterns at erythroid gene enhancers and is associated with downregulation of erythroid gene expression in the human erythroleukemia cell line TF-1. 5-Aza disproportionately induces expression of these down-regulated genes in TET2KO cells and this effect is related to dynamic 5mC changes at erythroid gene enhancers after 5-Aza exposure. We identified differences in remethylation kinetics after 5-Aza exposure for several types of genomic regulatory elements, with distal enhancers exhibiting longer-lasting 5mC changes than other regions. This work highlights the role of 5mC and 5hmC dynamics at distal enhancers in regulating the expression of differentiation-associated gene signatures, and sheds light on how 5-Aza may be more effective in patients harboring TET2 mutations. IMPLICATIONS: TET2 loss in erythroleukemia cells induces hypermethylation and impaired expression of erythroid differentiation genes which can be specifically counteracted by 5-Azacytidine, providing a potential mechanism for the increased efficacy of 5-Aza in TET2-mutant patients with MDS. VISUAL OVERVIEW: http://mcr.aacrjournals.org/content/molcanres/19/3/451/F1.large.jpg.
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Affiliation(s)
- Brian M Reilly
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California
- Moores Cancer Center, University of California San Diego, La Jolla, California
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California
| | - Timothy Luger
- Moores Cancer Center, University of California San Diego, La Jolla, California
| | - Soo Park
- Moores Cancer Center, University of California San Diego, La Jolla, California
| | - Chan-Wang Jerry Lio
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, California
| | - Edahí González-Avalos
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, California
| | - Emily C Wheeler
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California
| | - Minjung Lee
- Center for Epigenetics and Disease Prevention, Texas A&M University Health Science Center, Houston, Texas
| | - Laura Williamson
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California
| | - Tiffany Tanaka
- Moores Cancer Center, University of California San Diego, La Jolla, California
| | - Dinh Diep
- Department of Bioengineering, University of California San Diego, La Jolla, California
| | - Kun Zhang
- Department of Bioengineering, University of California San Diego, La Jolla, California
| | - Yun Huang
- Center for Epigenetics and Disease Prevention, Texas A&M University Health Science Center, Houston, Texas
| | - Anjana Rao
- Moores Cancer Center, University of California San Diego, La Jolla, California
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, California
| | - Rafael Bejar
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California.
- Moores Cancer Center, University of California San Diego, La Jolla, California
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10
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Abstract
Eyewitness misidentification accounts for 70% of verified erroneous convictions. To address this alarming phenomenon, research has focused on factors that influence likelihood of correct identification, such as the manner in which a lineup is conducted. Traditional lineups rely on overt eyewitness responses that confound two covert factors: strength of recognition memory and the criterion for deciding what memory strength is sufficient for identification. Here we describe a lineup that permits estimation of memory strength independent of decision criterion. Our procedure employs powerful techniques developed in studies of perception and memory: perceptual scaling and signal detection analysis. Using these tools, we scale memory strengths elicited by lineup faces, and quantify performance of a binary classifier tasked with distinguishing perpetrator from innocent suspect. This approach reveals structure of memory inaccessible using traditional lineups and renders accurate identifications uninfluenced by decision bias. The approach furthermore yields a quantitative index of individual eyewitness performance.
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Affiliation(s)
- Sergei Gepshtein
- Center for the Neurobiology of Vision, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA, 92037, USA. .,Center for Spatial Perception and Concrete Experience, School of Cinematic Arts, University of Southern California, 3470 McClintock Avenue, Los Angeles, CA, 90089-2211, USA.
| | - Yurong Wang
- Center for the Neurobiology of Vision, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA, 92037, USA.,Division of Biological Sciences, University of California San Diego, La Jolla, CA, 92037, USA
| | - Fangchao He
- Center for the Neurobiology of Vision, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA, 92037, USA.,Division of Biological Sciences and Department of Bioengineering, University of California San Diego, La Jolla, CA, 92037, USA
| | - Dinh Diep
- Center for the Neurobiology of Vision, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Thomas D Albright
- Center for the Neurobiology of Vision, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA, 92037, USA.
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11
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Diep D, Zhang K. Efficient and fast identification of differentially methylated regions using whole-genome bisulfite sequencing data. J Genet Genomics 2018; 45:455-457. [PMID: 30172582 DOI: 10.1016/j.jgg.2018.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 07/05/2018] [Accepted: 07/31/2018] [Indexed: 11/19/2022]
Affiliation(s)
- Dinh Diep
- Department of Bioengineering, University of California at San Diego, La Jolla, CA 92093, USA.
| | - Kun Zhang
- Department of Bioengineering, University of California at San Diego, La Jolla, CA 92093, USA
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12
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Guo S, Diep D, Plongthongkum N, Fung HL, Zhang K, Zhang K. Identification of methylation haplotype blocks aids in deconvolution of heterogeneous tissue samples and tumor tissue-of-origin mapping from plasma DNA. Nat Genet 2017; 49:635-642. [PMID: 28263317 PMCID: PMC5374016 DOI: 10.1038/ng.3805] [Citation(s) in RCA: 295] [Impact Index Per Article: 42.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Accepted: 02/09/2017] [Indexed: 02/07/2023]
Abstract
Adjacent CpG sites in mammalian genomes can be co-methylated due to the processivity of methyltransferases or demethylases. Yet discordant methylation patterns have also been observed, and found related to stochastic or uncoordinated molecular processes. We focused on a systematic search and investigation of regions in the full human genome that exhibit highly coordinated methylation. We defined 147,888 blocks of tightly coupled CpG sites, called methylation haplotype blocks (MHBs) with 61 sets of whole genome bisulfite sequencing (WGBS) data, and further validated with 101 sets of reduced representation bisulfite sequencing (RRBS) data and 637 sets of methylation array data. Using a metric called methylation haplotype load (MHL), we performed tissue-specific methylation analysis at the block level. Subsets of informative blocks were further identified for deconvolution of heterogeneous samples. Finally, we demonstrated quantitative estimation of tumor load and tissue-of-origin mapping in the circulating cell-free DNA of 59 cancer patients using methylation haplotypes.
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Affiliation(s)
- Shicheng Guo
- Department of Bioengineering, University of California at San Diego, La Jolla, California, USA
| | - Dinh Diep
- Department of Bioengineering, University of California at San Diego, La Jolla, California, USA
| | - Nongluk Plongthongkum
- Department of Bioengineering, University of California at San Diego, La Jolla, California, USA
| | - Ho-Lim Fung
- Department of Bioengineering, University of California at San Diego, La Jolla, California, USA
| | - Kang Zhang
- Institute for Genomic Medicine, University of California at San Diego, La Jolla, California, USA.,Shiley Eye Institute, University of California at San Diego, La Jolla, California, USA.,Veterans Administration Healthcare System, San Diego, California, USA
| | - Kun Zhang
- Department of Bioengineering, University of California at San Diego, La Jolla, California, USA.,Institute for Genomic Medicine, University of California at San Diego, La Jolla, California, USA
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13
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Diep D, Fau V, Wdowik S, Bienvenu B, Bénateau H, Veyssière A. [Temporomandibular disorders and Ehlers-Danlos syndrome, hypermobility type: A case-control study]. ACTA ACUST UNITED AC 2016; 117:228-33. [PMID: 27522240 DOI: 10.1016/j.revsto.2016.07.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 07/19/2016] [Indexed: 11/18/2022]
Abstract
INTRODUCTION The Ehlers-Danlos syndrome, hypermobility type (EDS-HT) is a rare genetic disease. Diagnosis is based on a combination of clinical criteria described in the classification of Villefranche. Diagnosis is difficult to make because of the lack of specific clinical signs and the absence of genetic testing. The EDS-TH manifests itself manly by musculoskeletal pain and joint hypermobility. Temporomandibular disorders (TMD) are also reported. Our aim was to objectify the presence and to qualify the type of TMD associated with the EDS-HT in order to propose an additional diagnostic argument. MATERIAL AND METHODS A prospective, monocenter case-control study, comparing a cohort of patients suffering from EDS-HT to a paired control group of healthy volunteers has been conducted. Clinical examination was standardized, including a general questioning, an oral examination and a temporomandibular joint examination following the TMD/RDC (temporomandibular disorders/research diagnostic criteria). RESULTS Fourteen EDS-HT patients and 58 control patients were examined. The prevalence of TMDs (n=13; 92.9% vs. n=4; 6.9%; P=10(-11)) was significantly higher in the EDS-HT group. TMDs occurring in the EDS-HT group were complex, combining several mechanisms in contrast to the control group, where only one mechanism was found in all the patients (n=13; 92.9% vs. n=0; 0.0%). DISCUSSION TMDs are strongly associated with RDS-HT. TMDs could therefore be used in the diagnosis of this disease.
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Affiliation(s)
- D Diep
- Service de chirurgie maxillo-faciale et plastique, CHU de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France.
| | - V Fau
- Service de chirurgie maxillo-faciale et plastique, CHU de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France
| | - S Wdowik
- Service de chirurgie maxillo-faciale et plastique, CHU de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France
| | - B Bienvenu
- Service de médecine Interne, CHU de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France
| | - H Bénateau
- Service de chirurgie maxillo-faciale et plastique, CHU de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France; Laboratoire EA 4652 microenvironnement cellulaire et pathologies, équipe BioconnecT, université de Caen-Basse-Normandie, esplanade de la Paix, 14032 Caen cedex 5, France; Faculté de médecine de Caen, université de Caen-Basse-Normandie, 2 rue des Rochambelles, 14032 Caen cedex 5, France
| | - A Veyssière
- Service de chirurgie maxillo-faciale et plastique, CHU de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France; Laboratoire EA 4652 microenvironnement cellulaire et pathologies, équipe BioconnecT, université de Caen-Basse-Normandie, esplanade de la Paix, 14032 Caen cedex 5, France; Faculté de médecine de Caen, université de Caen-Basse-Normandie, 2 rue des Rochambelles, 14032 Caen cedex 5, France
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Bénateau H, Chatellier A, Caillot A, Diep D, Kün-Darbois JD, Veyssière A. [Temporo-mandibular ankylosis]. ACTA ACUST UNITED AC 2016; 117:245-55. [PMID: 27481673 DOI: 10.1016/j.revsto.2016.07.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 07/01/2016] [Indexed: 11/26/2022]
Abstract
Ankylosis of the temporomandibular joint is defined as a permanent constriction of the jaws with less than 30mm mouth opening measured between the incisors, occurring because of bony, fibrous or fibro-osseous fusion. Resulting complications such as speech, chewing, swallowing impediment and deficient oral hygiene may occur. The overall incidence is decreasing but remains significant in some developing countries. The most frequent etiology in developed countries is the post-traumatic ankylosis occurring after condylar fracture. Other causes may be found: infection (decreasing since the advent of antibiotics), inflammation (rheumatoid arthritis and ankylosing spondylitis mainly) and congenital diseases (very rare). Management relies on surgery: resection of the ankylosis block in combination with bilateral coronoidectomy… The block resection may be offset by the interposition temporal fascia flap, a costochondral graft or a TMJ prosthesis according to the loss of height and to the impact on dental occlusion. Postoperative rehabilitation is essential and has to be started early, to be intense and prolonged. Poor rehabilitation is the main cause of ankylosis recurrence.
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Affiliation(s)
- H Bénateau
- Service de chirurgie maxillofaciale et plastique, centre hospitalier universitaire de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France; Laboratoire EA 4652 microenvironnement cellulaire et pathologies, équipe BioconnecT, université de Caen Basse-Normandie, esplanade de la Paix, 14032 Caen cedex 5, France; Faculté de médecine de Caen, université de Caen Basse-Normandie, 2, rue des Rochambelles, 14032 Caen cedex 5, France
| | - A Chatellier
- Service de chirurgie maxillofaciale et plastique, centre hospitalier universitaire de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France
| | - A Caillot
- Service de chirurgie maxillofaciale et plastique, centre hospitalier universitaire de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France; Faculté de médecine de Caen, université de Caen Basse-Normandie, 2, rue des Rochambelles, 14032 Caen cedex 5, France
| | - D Diep
- Service de chirurgie maxillofaciale et plastique, centre hospitalier universitaire de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France
| | - J-D Kün-Darbois
- Service de chirurgie maxillofaciale et plastique, centre hospitalier universitaire de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France
| | - A Veyssière
- Service de chirurgie maxillofaciale et plastique, centre hospitalier universitaire de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France; Laboratoire EA 4652 microenvironnement cellulaire et pathologies, équipe BioconnecT, université de Caen Basse-Normandie, esplanade de la Paix, 14032 Caen cedex 5, France; Faculté de médecine de Caen, université de Caen Basse-Normandie, 2, rue des Rochambelles, 14032 Caen cedex 5, France.
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Diakite C, Diep D, Labbe D. [Perception of asymmetry smile: Attempt to evaluation through Photoshop]. ANN CHIR PLAST ESTH 2015; 61:122-7. [PMID: 26088743 DOI: 10.1016/j.anplas.2015.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 05/06/2015] [Indexed: 11/28/2022]
Abstract
UNLABELLED In the labial palliative surgery of facial paralysis, it can persist asymmetry smile. OBJECTIVE Evaluate the impact of an augmentation or reduction of the commissural course on the perception of a smile anomaly, and determine from which asymmetry threshold, the smile is estimated unsightly. MATERIAL AND METHOD We took a picture of two people with a smile not forced; including one with a "cuspid smile", and the another one with a "Mona Lisa" smile. The pictures obtained were modified by the Photoshop software, to simulate an asymmetry labial smile. The changes were related to the move of the left labial commissure, the left nasolabial furrow, and the left cheek using under-correction and overcorrection, every 4 mm. Three pictures with under-correction and four pictures with over-correction were obtained. These smiles were shown to three groups of five people, which included doctors in smile specialties, doctors in other specialties, and non-doctors. Participants were then asked to indicate on which of the pictures, the smile seemed abnormal. RESULTS Between -8 mm under-correction, and +8 mm over-correction, the asymmetry of the commissural course does not hinder the perception of smile. CONCLUSION In the labial palliative surgery of facial paralysis, in the case of persistent asymmetry, there is a tolerance in the perception of "normality" of smile concerning the amplitude of the commissural course going up to 8 mm of asymmetric with under-correction or over-correction.
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Affiliation(s)
- C Diakite
- Service de chirurgie maxillofaciale et plastique de la face, CHU de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France.
| | - D Diep
- Service de chirurgie maxillofaciale et plastique de la face, CHU de Caen, avenue de la Côte-de-Nacre, 14000 Caen, France
| | - D Labbe
- Service de chirurgie plastique, 4, place Fontette, 14000 Caen, France
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Shen L, Wu H, Diep D, D’Alessio AC, Fung A, Zhang K, Zhang Y. Genome-wide analysis reveals TET-and TDG-mediated 5-methylcytosine oxidation dynamics. Epigenetics Chromatin 2013. [PMCID: PMC3600805 DOI: 10.1186/1756-8935-6-s1-p88] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
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17
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Shen L, Wu H, Diep D, D’Alessio AC, Fung A, Zhang K, Zhang Y. Genome-wide analysis reveals TET-and TDG-mediated 5-methylcytosine oxidation dynamics. Epigenetics Chromatin 2013. [PMCID: PMC3600688 DOI: 10.1186/1756-8935-6-s1-p75] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Yamaguchi S, Hong K, Liu R, Shen L, Inoue A, Diep D, Zhang K, Zhang Y. 5mC and 5hmC dynamics during PGC reprogramming and role of Tet1 in female meiosis. Epigenetics Chromatin 2013. [PMCID: PMC3600714 DOI: 10.1186/1756-8935-6-s1-p89] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Yamaguchi S, Hong K, Liu R, Shen L, Inoue A, Diep D, Zhang K, Zhang Y. Tet1 controls meiosis by regulating meiotic gene expression. Nature 2012; 492:443-7. [PMID: 23151479 PMCID: PMC3528851 DOI: 10.1038/nature11709] [Citation(s) in RCA: 213] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2012] [Accepted: 10/25/2012] [Indexed: 02/08/2023]
Abstract
Meiosis is a germ cell-specific cell division process through which haploid gametes are produced for sexual reproduction1. Prior to initiation of meiosis, mouse primordial germ cells (PGCs) undergo a series of epigenetic reprogramming steps2,3, including global erasure of DNA methylation on the 5-position of cytosine (5mC) at CpG4,5. Although several epigenetic regulators, such as Dnmt3l, histone methyltransferases G9a and Prdm9, have been reported to be critical for meiosis6, little is known about how the expression of meiotic genes is regulated and how their expression contributes to normal meiosis. Using a loss of function approach, here we demonstrate that the 5mC-specific dioxygenase Tet1 plays an important role in regulating meiosis in mouse oocytes. Tet1 deficiency significantly reduces female germ cell numbers and fertility. Univalent chromosomes and unresolved DNA double strand breaks are also observed in Tet1-deficient oocytes. Tet1 deficiency does not greatly affect the genome-wide demethylation that takes place in PGCs but leads to defective DNA demethylation and decreased expression of a subset of meiotic genes. Our study thus establishes a function for Tet1 in meiosis and meiotic gene activation in female germ cells.
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Affiliation(s)
- Shinpei Yamaguchi
- Howard Hughes Medical Institute, Harvard Medical School, WAB-149G, 200 Longwood Avenue, Boston, Massachusetts 02115, USA
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Thiele I, Fleming RMT, Que R, Bordbar A, Diep D, Palsson BO. Multiscale modeling of metabolism and macromolecular synthesis in E. coli and its application to the evolution of codon usage. PLoS One 2012; 7:e45635. [PMID: 23029152 PMCID: PMC3461016 DOI: 10.1371/journal.pone.0045635] [Citation(s) in RCA: 88] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2012] [Accepted: 08/20/2012] [Indexed: 12/18/2022] Open
Abstract
Biological systems are inherently hierarchal and multiscale in time and space. A major challenge of systems biology is to describe biological systems as a computational model, which can be used to derive novel hypothesis and drive experiments leading to new knowledge. The constraint-based reconstruction and analysis approach has been successfully applied to metabolism and to the macromolecular synthesis machinery assembly. Here, we present the first integrated stoichiometric multiscale model of metabolism and macromolecular synthesis for Escherichia coli K12 MG1655, which describes the sequence-specific synthesis and function of almost 2000 gene products at molecular detail. We added linear constraints, which couple enzyme synthesis and catalysis reactions. Comparison with experimental data showed improvement of growth phenotype prediction with the multiscale model over E. coli's metabolic model alone. Many of the genes covered by this integrated model are well conserved across enterobacters and other, less related bacteria. We addressed the question of whether the bias in synonymous codon usage could affect the growth phenotype and environmental niches that an organism can occupy. We created two classes of in silico strains, one with more biased codon usage and one with more equilibrated codon usage than the wildtype. The reduced growth phenotype in biased strains was caused by tRNA supply shortage, indicating that expansion of tRNA gene content or tRNA codon recognition allow E. coli to respond to changes in codon usage bias. Our analysis suggests that in order to maximize growth and to adapt to new environmental niches, codon usage and tRNA content must co-evolve. These results provide further evidence for the mutation-selection-drift balance theory of codon usage bias. This integrated multiscale reconstruction successfully demonstrates that the constraint-based modeling approach is well suited to whole-cell modeling endeavors.
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Affiliation(s)
- Ines Thiele
- Center for Systems Biology, University of Iceland, Reykjavik, Iceland.
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Diep D, Plongthongkum N, Gore A, Fung HL, Shoemaker R, Zhang K. Library-free methylation sequencing with bisulfite padlock probes. Nat Methods 2012; 9:270-2. [PMID: 22306810 PMCID: PMC3461232 DOI: 10.1038/nmeth.1871] [Citation(s) in RCA: 83] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2011] [Accepted: 12/21/2011] [Indexed: 11/09/2022]
Abstract
Targeted quantification of DNA methylation allows for interrogation of the most informative loci across many samples quickly and cost-effectively. Here we report improved bisulfite padlock probes (BSPPs) with a design algorithm to generate efficient padlock probes, a library-free protocol that dramatically reduces sample-preparation cost and time and is compatible with automation, and an efficient bioinformatics pipeline to accurately obtain both methylation levels and genotypes from sequencing of bisulfite-converted DNA.
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Affiliation(s)
- Dinh Diep
- Department of Bioengineering, University of California at San Diego, La Jolla, CA, U.S.A
- Bioinformatics and System Biology Graduate Program, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, U.S.A
| | - Nongluk Plongthongkum
- Department of Bioengineering, University of California at San Diego, La Jolla, CA, U.S.A
| | - Athurva Gore
- Department of Bioengineering, University of California at San Diego, La Jolla, CA, U.S.A
| | - Ho-Lim Fung
- Department of Bioengineering, University of California at San Diego, La Jolla, CA, U.S.A
| | - Robert Shoemaker
- Department of Chemistry and Biochemistry, University of California at San Diego, La Jolla, CA, U.S.A
| | - Kun Zhang
- Department of Bioengineering, University of California at San Diego, La Jolla, CA, U.S.A
- Bioinformatics and System Biology Graduate Program, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, U.S.A
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22
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Panopoulos AD, Yanes O, Ruiz S, Kida YS, Diep D, Tautenhahn R, Herrerías A, Batchelder EM, Plongthongkum N, Lutz M, Berggren WT, Zhang K, Evans RM, Siuzdak G, Izpisua Belmonte JC. The metabolome of induced pluripotent stem cells reveals metabolic changes occurring in somatic cell reprogramming. Cell Res 2011; 22:168-77. [PMID: 22064701 DOI: 10.1038/cr.2011.177] [Citation(s) in RCA: 389] [Impact Index Per Article: 29.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Metabolism is vital to every aspect of cell function, yet the metabolome of induced pluripotent stem cells (iPSCs) remains largely unexplored. Here we report, using an untargeted metabolomics approach, that human iPSCs share a pluripotent metabolomic signature with embryonic stem cells (ESCs) that is distinct from their parental cells, and that is characterized by changes in metabolites involved in cellular respiration. Examination of cellular bioenergetics corroborated with our metabolomic analysis, and demonstrated that somatic cells convert from an oxidative state to a glycolytic state in pluripotency. Interestingly, the bioenergetics of various somatic cells correlated with their reprogramming efficiencies. We further identified metabolites that differ between iPSCs and ESCs, which revealed novel metabolic pathways that play a critical role in regulating somatic cell reprogramming. Our findings are the first to globally analyze the metabolome of iPSCs, and provide mechanistic insight into a new layer of regulation involved in inducing pluripotency, and in evaluating iPSC and ESC equivalence.
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Affiliation(s)
- Athanasia D Panopoulos
- Gene Expression Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
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Diep D, Zhang K. Genome-wide mapping of the sixth base. Genome Biol 2011; 12:116. [PMID: 21682934 PMCID: PMC3218833 DOI: 10.1186/gb-2011-12-6-116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Mapping of 5-hydroxylmethylcytosine in mammalian genomes has unveiled its unique role in the epigenetic regulation of gene expression. See Research article: http://genomebiology.com/2011/12/6/R54
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Affiliation(s)
- Dinh Diep
- Department of Bioengineering, University of California at San Diego, 9500 Gilman Drive, MC0412, La Jolla, CA 92093-0412, USA
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Liu GH, Barkho BZ, Ruiz S, Diep D, Qu J, Yang SL, Panopoulos AD, Suzuki K, Kurian L, Walsh C, Thompson J, Boue S, Fung HL, Sancho-Martinez I, Zhang K, Yates J, Belmonte JCI. Recapitulation of premature ageing with iPSCs from Hutchinson-Gilford progeria syndrome. Nature 2011; 472:221-5. [PMID: 21346760 PMCID: PMC3088088 DOI: 10.1038/nature09879] [Citation(s) in RCA: 418] [Impact Index Per Article: 32.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2010] [Accepted: 02/01/2011] [Indexed: 12/14/2022]
Abstract
Hutchinson-Gilford progeria syndrome (HGPS) is a rare and fatal human premature ageing disease, characterized by premature arteriosclerosis and degeneration of vascular smooth muscle cells (SMCs). HGPS is caused by a single point mutation in the lamin A (LMNA) gene, resulting in the generation of progerin, a truncated splicing mutant of lamin A. Accumulation of progerin leads to various ageing-associated nuclear defects including disorganization of nuclear lamina and loss of heterochromatin. Here we report the generation of induced pluripotent stem cells (iPSCs) from fibroblasts obtained from patients with HGPS. HGPS-iPSCs show absence of progerin, and more importantly, lack the nuclear envelope and epigenetic alterations normally associated with premature ageing. Upon differentiation of HGPS-iPSCs, progerin and its ageing-associated phenotypic consequences are restored. Specifically, directed differentiation of HGPS-iPSCs to SMCs leads to the appearance of premature senescence phenotypes associated with vascular ageing. Additionally, our studies identify DNA-dependent protein kinase catalytic subunit (DNAPKcs, also known as PRKDC) as a downstream target of progerin. The absence of nuclear DNAPK holoenzyme correlates with premature as well as physiological ageing. Because progerin also accumulates during physiological ageing, our results provide an in vitro iPSC-based model to study the pathogenesis of human premature and physiological vascular ageing.
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Affiliation(s)
- Guang-Hui Liu
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - Basam Z. Barkho
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - Sergio Ruiz
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - Dinh Diep
- Department of Bioengineering, University of California at San Diego, La Jolla, California 92093, USA
| | - Jing Qu
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - Sheng-Lian Yang
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - Athanasia D. Panopoulos
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - Keiichiro Suzuki
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - Leo Kurian
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - Christopher Walsh
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - James Thompson
- Department of Cell Biology, Scripps Research Institute, La Jolla, California 92037, USA
| | - Stephanie Boue
- Center for Regenerative Medicine in Barcelona, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Ho Lim Fung
- Department of Bioengineering, University of California at San Diego, La Jolla, California 92093, USA
| | - Ignacio Sancho-Martinez
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
| | - Kun Zhang
- Department of Bioengineering, University of California at San Diego, La Jolla, California 92093, USA
| | - John Yates
- Department of Cell Biology, Scripps Research Institute, La Jolla, California 92037, USA
| | - Juan Carlos Izpisua Belmonte
- Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
- Center for Regenerative Medicine in Barcelona, Dr. Aiguader 88, 08003 Barcelona, Spain
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Li X, Deng J, Sun L, Diep D, Zhang K, Beutler B. Primordial germ cell derivation from mouse iPS cells and associated epigenetic changes. Fertil Steril 2010. [DOI: 10.1016/j.fertnstert.2010.07.935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Abstract
Incubation of 4% bovine serum albumin (BSA) with 1 mM tert-butyl hydroperoxide (t-BOOH) resulted in a peak of chemiluminescence followed by decay to a steady-state level of 18 counts per second above control. When using BSA of differing fatty acid content, the intensity of the initial peak was proportional to fatty acid content, while the steady-state chemiluminescence was independent of lipid content and depended only on BSA concentration. Light emission was inhibited by superoxide dismutase, desferrioxamine, and the antioxidant U-78518F. Oxidation of BSA by neutrophils activated with phorbol myristate acetate also increased chemiluminescence, in a process inhibitable by superoxide dismutase and U-78518F. When adding 1 mM t-BOOH in the presence of 20 microM heme to tryptophan, tyrosine, or to a lesser extent histidine, chemiluminescence correlated with increased oxygen consumption and the appearance of carbonyl derivatives, suggesting that chemiluminescence is a result of the decay to ground level of excited carbonyls. Lysine and glycine, on the other hand, were not oxidized to carbonyls after exposure to t-BOOH and did not emit light or consume significant oxygen during this challenge.
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Affiliation(s)
- M L Barnard
- Department of Biomedical Sciences, College of Allied Health Professions, University of South Alabama, Mobile 36688
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Budayr AA, Nissenson RA, Klein RF, Pun KK, Clark OH, Diep D, Arnaud CD, Strewler GJ. Increased serum levels of a parathyroid hormone-like protein in malignancy-associated hypercalcemia. Ann Intern Med 1989; 111:807-12. [PMID: 2817628 DOI: 10.7326/0003-4819-111-10-807] [Citation(s) in RCA: 156] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
STUDY OBJECTIVE To measure the serum levels of a newly described parathyroid hormone-like protein (PLP) which was isolated from malignant tumors associated with hypercalcemia, and determine whether PLP is a humoral factor in malignancy-associated hypercalcemia. DESIGN A cross-sectional study of serum levels of PLP using a newly developed radioimmunoassay. SETTING A university-affiliated Veterans Administration hospital in San Francisco, California, a University hospital in Hong Kong, and a private hospital in Danville, Pennsylvania. PATIENTS Patients with hypercalcemia (calcium greater than 2.65 mmol/L) and a diagnosis of malignancy were studied. Control groups included normocalcemic patients with malignancy, patients with hyperparathyroidism, and normal subjects. MEASUREMENTS AND MAIN RESULTS Serum immunoreactive PLP (iPLP) levels in normal subjects were less than 2.5 pmol eq/L (10 pg/mL), and 68% of subjects had undetectable levels. The serum concentration of iPLP was normal in 15 of 16 hypercalcemic patients with hyperparathyroidism. Serum iPLP was increased (greater than 2.5 pmol eq/L) in 36 of 65 (55%) patients with malignancy-associated hypercalcemia, with a mean value of 6.1 +/- 0.9 pmol eq/L (24 pg/mL). In a subgroup of patients with solid tumors serum iPLP was increased in 30 (71%) of 42 hypercalcemic patients, with a mean value of 6.5 +/- 0.9 pmol eq/L. Serum iPLP was elevated in only 3 of 23 normocalcemic patients with cancer. In patients with solid malignancies (n = 59), levels of iPLP were positively correlated with the total serum calcium (r = 0.43, P less than 0.01). CONCLUSION The data indicate a relation between the serum concentration of iPLP and the presence of hypercalcemia in solid malignancies. The results support a role for PLP as a humoral mediator of hypercalcemia in most patients with solid tumors. Measurement of iPLP should be useful in the differential diagnosis of hypercalcemia.
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Affiliation(s)
- A A Budayr
- Veterans Administration Medical Center, San Francisco, California
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Abstract
Expression of a parathyroid hormone-like protein (PLP), which is associated with hypercalcemia in malignancy, has recently been localized to normal lactating mammary tissue. We examined the possibility of an extramammary role of PLP by measuring its levels in serum and milk of lactating women. The levels of PLP by radioimmunoassay in serum of lactating and nonlactating women were indistinguishable [4.2 +/- 1.8 and 3.6 +/- 1.0 pg equivalents (eq) of PLP-(1-34) amide per ml, respectively]. As PLP was undetectable in some serum samples, this result does not exclude the possibility that lactation results in a small increase in serum levels of PLP. In contrast, high concentrations of immunoreactive PLP [40,000-75,000 pg eq of PLP-(1-34) amide per ml] and correspondingly high concentrations of bioactive PLP were found in human, rat, and bovine milk. A variety of processed bovine milk products had a PLP content similar to that of fresh bovine milk, whereas infant formulas had lower concentrations, ranging down to undetectable. Although the physiological role of PLP in lactation is unknown, the data establish the presence of PLP in milk and suggest the possibility that PLP may be important in neonatal calcium homeostasis.
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Affiliation(s)
- A A Budayr
- Endocrine Unit, Veteran's Administration Medical Center, San Francisco, CA
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Nissenson RA, Diep D, Strewler GJ. Synthetic peptides comprising the amino-terminal sequence of a parathyroid hormone-like protein from human malignancies. Binding to parathyroid hormone receptors and activation of adenylate cyclase in bone cells and kidney. J Biol Chem 1988; 263:12866-71. [PMID: 2843501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
A tumor-derived protein with a spectrum of biologic activities remarkably similar to that of parathyroid hormone (PTH) has recently been purified and its sequence deduced from cloned cDNA. This PTH-like protein (PLP) has substantial sequence homology with PTH only in the amino-terminal 1-13 region and shows little similarity to other regions of PTH thought to be important for binding to receptors. In the present study, we compared the actions of two synthetic PLP peptides, PLP-(1-34)amide and [Tyr36]PLP-(1-36)amide, with those of bovine parathyroid hormone (bPTH)-(1-34) on receptors and adenylate cyclase in bone cells and in renal membranes. Synthetic PLP peptides were potent activators of adenylate cyclase in canine renal membranes (EC50 = 3.0 nM) and in UMR-106 osteosarcoma cells (EC50 = 0.05 nM). Bovine PTH-(1-34) was 6-fold more potent than the PLP peptides in renal membranes, but was 2-fold less potent in UMR-106 cells. A competitive PTH receptor antagonist, [Tyr34]bPTH-(7-34)amide, rapidly and fully inhibited adenylate cyclase stimulation by the PLP peptides as well as bPTH-(1-34). Competitive binding experiments with 125I-labeled PLP peptides revealed the presence of high affinity PLP receptors in UMR-106 cells IC50 = 3-4 nM) and in renal membranes (IC50 = 0.3 nM). There was no evidence of heterogeneity of PLP receptors. Bovine PTH-(1-34) was equipotent with the PLP peptides in binding to PLP receptors. Likewise, PLP peptides and bPTH-(1-34) were equipotent in competing with 125I-bPTH-(1-34) for binding to PTH receptors in renal membranes. Photoaffinity cross-linking experiments revealed that PTH and PLP peptides both interact with a major 85-kDa and minor 55- and 130-kDa components of canine renal membranes. We conclude that PTH and PLP activate adenylate cyclase by binding to common receptors in bone and kidney. The results further imply that subtle differences exist between PTH and PLP peptides in their ability to induce receptor-adenylate cyclase coupling.
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Affiliation(s)
- R A Nissenson
- Endocrine Unit, Veterans Administration Medical Center, San Francisco, California 94121
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Nissenson RA, Diep D, Strewler GJ. Synthetic peptides comprising the amino-terminal sequence of a parathyroid hormone-like protein from human malignancies. Binding to parathyroid hormone receptors and activation of adenylate cyclase in bone cells and kidney. J Biol Chem 1988. [DOI: 10.1016/s0021-9258(18)37641-5] [Citation(s) in RCA: 55] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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