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Abstract
AbstractAcute kidney injury (AKI) is a common clinical symptom, which is mainly manifested by elevated serum creatinine and blood urea nitrogen levels. When AKI is not repaired in time, the patient is prone to develop chronic kidney disease (CKD). The kidney is composed of more than 30 different cells, and its structure is complex. It is extremely challenging to understand the lineage relationships and cell fate of these cells in the process of kidney injury and regeneration. Since the 20th century, lineage tracing technology has provided an important mean for studying organ development, tissue damage repair, and the differentiation and fate of single cells. However, traditional lineage tracing methods rely on sacrificing animals to make tissue slices and then take snapshots with conventional imaging tools to obtain interesting information. This method cannot achieve dynamic and continuous monitoring of cell actions on living animals. As a kind of intravital microscopy (IVM), two-photon microscopy (TPM) has successfully solved the above problems. Because TPM has the ability to penetrate deep tissues and can achieve imaging at the single cell level, lineage tracing technology with TPM is gradually becoming popular. In this review, we provided the key technical elements of lineage tracing, and how to use intravital imaging technology to visualize and quantify the fate of renal cells.
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Gao H, Zheng C, Du J, Wu Y, Sun Y, Han C, Kee K, Rao Y. FAK-targeting PROTAC as a chemical tool for the investigation of non-enzymatic FAK function in mice. Protein Cell 2020; 11:534-539. [PMID: 32451721 PMCID: PMC7305269 DOI: 10.1007/s13238-020-00732-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Affiliation(s)
- Hongying Gao
- MOE Key Laboratory of Protein Sciences, School of Pharmaceutical Sciences, MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing, 100084, China
- Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, 100084, China
| | - Chunwei Zheng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100084, China
| | - Jian Du
- Center for Stem Cell Biology and Regenerative Medicine, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Yue Wu
- MOE Key Laboratory of Protein Sciences, School of Pharmaceutical Sciences, MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing, 100084, China
| | - Yonghui Sun
- MOE Key Laboratory of Protein Sciences, School of Pharmaceutical Sciences, MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing, 100084, China
| | - Chunsheng Han
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100084, China.
- University of Chinese Academy of Sciences, Savaid Medical School, Beijing, 100049, China.
| | - Kehkooi Kee
- Center for Stem Cell Biology and Regenerative Medicine, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, 100084, China.
| | - Yu Rao
- MOE Key Laboratory of Protein Sciences, School of Pharmaceutical Sciences, MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing, 100084, China.
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Elmets CA, Yusuf N. Murine Skin Carcinogenesis and the Role of Immune System Dysregulation in the Tumorigenicity of 2-Ethylhexyl Acrylate. Biomed Hub 2020; 5:958-973. [PMID: 33564662 PMCID: PMC7841744 DOI: 10.1159/000508295] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 04/29/2020] [Indexed: 12/12/2022] Open
Abstract
Some chemicals act as human carcinogens in various organ systems including the skin. Mice have been an ideal model to study a wide variety of chemical carcinogens because the pathogenesis in that species often mirrors that in humans. However, different mouse strains vary in their susceptibility to these agents. Thus, reliance on a single strain may lead to inaccurate findings. 2-Ethylhexyl acrylate (2-EHA) is an acrylate used as a co-monomer in the production of polymer resins for adhesives, latex paints, cross-linking agents, finishes for textiles and leather, and paper coatings. Monomer exposure may occur in occupational settings where it is produced or used; the only exposure that may occur to consumers or construction personnel is trace amounts in the final polymer product. There are no reports of cancer in humans caused by exposure to 2-EHA. However, 2-EHA has been reported to cause cancer in one strain of mice. This is an important issue since recommendations about its safety in humans depend, in part, on information derived from animal studies. We reviewed the literature on the preclinical effects of acrylates on skin carcinogenesis in C3H/HeJ mice, which can be criticized because of peculiarities in the immunological composition of that strain, the lack of rigorous histopathologic characterization of tumors that developed, the high doses of 2-EHA that were used for evaluation, and the lack of reproducibility in a second strain of mice. The C3H/HeJ mouse model is not ideal as it has a mutation in Toll-like receptor 4 (TLR4) that impairs its innate and adaptive immune responses. Inconsistencies in the histological evaluation of tumors induced in C3H/HeJ mice provide further evidence that the tumorigenic effect of 2-EHA was strain specific, a result of chronic inflammation during the promotion stage and/or a skewed immune response caused by the TLR4 mutation. In conclusion, 2-EHA has not convincingly been demonstrated to have skin carcinogenic activity to date. More relevant mouse models that mimic human squamous cell carcinoma, basal cell carcinoma, and melanoma with amounts that do not exceed a maximum tolerated dose are needed to assess the carcinogenic effects of 2-EHA.
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Affiliation(s)
- Craig A. Elmets
- Department of Dermatology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Veteran Affairs Medical Center, Birmingham, Alabama, USA
| | - Nabiha Yusuf
- Department of Dermatology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Veteran Affairs Medical Center, Birmingham, Alabama, USA
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4
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Upadhyaya KC, Kumar A. Perspectives on the human genome. Anim Biotechnol 2020. [DOI: 10.1016/b978-0-12-811710-1.00029-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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5
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A chemical approach for global protein knockdown from mice to non-human primates. Cell Discov 2019; 5:10. [PMID: 30729032 PMCID: PMC6361926 DOI: 10.1038/s41421-018-0079-1] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 12/18/2018] [Accepted: 12/19/2018] [Indexed: 12/27/2022] Open
Abstract
Although conventional genetic modification approaches for protein knockdown work very successfully due to the increasing use of CRISPR/Cas9, effective techniques for achieving protein depletion in adult animals, especially in large animals such as non-human primates, are lacking. Here, we report a chemical approach based on PROTACs technology that efficiently and quickly knocks down FKBP12 (12-kDa FK506-binding) protein globally in vivo. Both intraperitoneal and oral administration led to rapid, robust, and reversible FKBP12 degradation in mice. The efficiency and practicality of this method were successfully demonstrated in both large and small animals (mice, rats, Bama pigs, and rhesus monkeys). Furthermore, we showed this approach can also be applied to effectively knockdown other target proteins such as Bruton's tyrosine kinase (BTK). This chemical protein knockdown strategy provides a powerful research tool for gene function studies in animals, particularly in large animals, for which gene-targeted knockout strategies may remain unfeasible.
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Analysis of differential gene expression by RNA-seq data in ABCG1 knockout mice. Gene 2018; 689:24-33. [PMID: 30528268 DOI: 10.1016/j.gene.2018.11.086] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 10/05/2018] [Accepted: 11/22/2018] [Indexed: 12/20/2022]
Abstract
AIMS The previous studies on ABCG1 using genetically modified mice showed inconsistent results on atherosclerosis. The aim of this study was to determine whether accurate target knockout of ABCG1 would result in transcriptional changes of other atherosclerosis-related genes. METHODS ABCG1 knockout mouse model was obtained by precise gene targeting without affecting non-target DNA sequences in C57BL/6 background. The wildtype C57BL/6 mice were regarded as control group. 12-week-old male mice were used in current study. We performed whole transcriptome analysis on the peripheral blood mononuclear cells obtained from ABCG1 knockout mice (n = 3) and their wildtype controls (n = 3) by RNA-seq. RESULTS Compared with wildtype group, 605 genes were modified at the time of ABCG1 knockout and expressed differentially in knockout group, including 306 up-regulated genes and 299 down-regulated genes. 54 genes were associated with metabolism regulation, of which 13 were related to lipid metabolism. We also found some other modified genes in knockout mice involved in cell adhesion, leukocyte transendothelial migration and apoptosis, which might also play roles in the process of atherosclerosis. 7 significantly enriched GO terms and 19 significantly enriched KEGG pathways were identified, involving fatty acid biosynthesis, immune response and intracellular signal transduction. CONCLUSIONS ABCG1 knockout mice exhibited an altered expression of multiple genes related to many aspects of atherosclerosis, which might affect the further studies to insight into the effect of ABCG1 on atherosclerosis with this animal model.
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Sahlgren C, Meinander A, Zhang H, Cheng F, Preis M, Xu C, Salminen TA, Toivola D, Abankwa D, Rosling A, Karaman DŞ, Salo-Ahen OMH, Österbacka R, Eriksson JE, Willför S, Petre I, Peltonen J, Leino R, Johnson M, Rosenholm J, Sandler N. Tailored Approaches in Drug Development and Diagnostics: From Molecular Design to Biological Model Systems. Adv Healthc Mater 2017; 6. [PMID: 28892296 DOI: 10.1002/adhm.201700258] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2017] [Revised: 05/04/2017] [Indexed: 12/13/2022]
Abstract
Approaches to increase the efficiency in developing drugs and diagnostics tools, including new drug delivery and diagnostic technologies, are needed for improved diagnosis and treatment of major diseases and health problems such as cancer, inflammatory diseases, chronic wounds, and antibiotic resistance. Development within several areas of research ranging from computational sciences, material sciences, bioengineering to biomedical sciences and bioimaging is needed to realize innovative drug development and diagnostic (DDD) approaches. Here, an overview of recent progresses within key areas that can provide customizable solutions to improve processes and the approaches taken within DDD is provided. Due to the broadness of the area, unfortunately all relevant aspects such as pharmacokinetics of bioactive molecules and delivery systems cannot be covered. Tailored approaches within (i) bioinformatics and computer-aided drug design, (ii) nanotechnology, (iii) novel materials and technologies for drug delivery and diagnostic systems, and (iv) disease models to predict safety and efficacy of medicines under development are focused on. Current developments and challenges ahead are discussed. The broad scope reflects the multidisciplinary nature of the field of DDD and aims to highlight the convergence of biological, pharmaceutical, and medical disciplines needed to meet the societal challenges of the 21st century.
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Affiliation(s)
- Cecilia Sahlgren
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
- Turku Centre for Biotechnology; Åbo Akademi University and University of Turku; FI-20520 Turku Finland
- Department of Biomedical Engineering; Technical University of Eindhoven; 5613 DR Eindhoven Netherlands
| | - Annika Meinander
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
| | - Hongbo Zhang
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Fang Cheng
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
| | - Maren Preis
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Chunlin Xu
- Faculty of Science and Engineering; Natural Materials Technology; Åbo Akademi University; FI-20500 Turku Finland
| | - Tiina A. Salminen
- Faculty of Science and Engineering; Structural Bioinformatics Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Diana Toivola
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
- Turku Center for Disease Modeling; University of Turku; FI-20520 Turku Finland
| | - Daniel Abankwa
- Department of Biomedical Engineering; Technical University of Eindhoven; 5613 DR Eindhoven Netherlands
| | - Ari Rosling
- Faculty of Science and Engineering; Polymer Technologies; Åbo Akademi University; FI-20500 Turku Finland
| | - Didem Şen Karaman
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Outi M. H. Salo-Ahen
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
- Faculty of Science and Engineering; Structural Bioinformatics Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Ronald Österbacka
- Faculty of Science and Engineering; Physics; Åbo Akademi University; FI-20500 Turku Finland
| | - John E. Eriksson
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
- Turku Centre for Biotechnology; Åbo Akademi University and University of Turku; FI-20520 Turku Finland
| | - Stefan Willför
- Faculty of Science and Engineering; Natural Materials Technology; Åbo Akademi University; FI-20500 Turku Finland
| | - Ion Petre
- Faculty of Science and Engineering; Computer Science; Åbo Akademi University; FI-20500 Turku Finland
| | - Jouko Peltonen
- Faculty of Science and Engineering; Physical Chemistry; Åbo Akademi University; FI-20500 Turku Finland
| | - Reko Leino
- Faculty of Science and Engineering; Organic Chemistry; Johan Gadolin Process Chemistry Centre; Åbo Akademi University; FI-20500 Turku Finland
| | - Mark Johnson
- Faculty of Science and Engineering; Structural Bioinformatics Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Jessica Rosenholm
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Niklas Sandler
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
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Sahlgren C, Meinander A, Zhang H, Cheng F, Preis M, Xu C, Salminen TA, Toivola D, Abankwa D, Rosling A, Karaman DŞ, Salo-Ahen OMH, Österbacka R, Eriksson JE, Willför S, Petre I, Peltonen J, Leino R, Johnson M, Rosenholm J, Sandler N. Tailored Approaches in Drug Development and Diagnostics: From Molecular Design to Biological Model Systems. Adv Healthc Mater 2017. [DOI: 10.1002/adhm.201700258 10.1002/adhm.201700258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
Affiliation(s)
- Cecilia Sahlgren
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
- Turku Centre for Biotechnology; Åbo Akademi University and University of Turku; FI-20520 Turku Finland
- Department of Biomedical Engineering; Technical University of Eindhoven; 5613 DR Eindhoven Netherlands
| | - Annika Meinander
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
| | - Hongbo Zhang
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Fang Cheng
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
| | - Maren Preis
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Chunlin Xu
- Faculty of Science and Engineering; Natural Materials Technology; Åbo Akademi University; FI-20500 Turku Finland
| | - Tiina A. Salminen
- Faculty of Science and Engineering; Structural Bioinformatics Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Diana Toivola
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
- Turku Center for Disease Modeling; University of Turku; FI-20520 Turku Finland
| | - Daniel Abankwa
- Department of Biomedical Engineering; Technical University of Eindhoven; 5613 DR Eindhoven Netherlands
| | - Ari Rosling
- Faculty of Science and Engineering; Polymer Technologies; Åbo Akademi University; FI-20500 Turku Finland
| | - Didem Şen Karaman
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Outi M. H. Salo-Ahen
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
- Faculty of Science and Engineering; Structural Bioinformatics Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Ronald Österbacka
- Faculty of Science and Engineering; Physics; Åbo Akademi University; FI-20500 Turku Finland
| | - John E. Eriksson
- Faculty of Science and Engineering; Cell Biology; Åbo Akademi University; FI-20520 Turku Finland
- Turku Centre for Biotechnology; Åbo Akademi University and University of Turku; FI-20520 Turku Finland
| | - Stefan Willför
- Faculty of Science and Engineering; Natural Materials Technology; Åbo Akademi University; FI-20500 Turku Finland
| | - Ion Petre
- Faculty of Science and Engineering; Computer Science; Åbo Akademi University; FI-20500 Turku Finland
| | - Jouko Peltonen
- Faculty of Science and Engineering; Physical Chemistry; Åbo Akademi University; FI-20500 Turku Finland
| | - Reko Leino
- Faculty of Science and Engineering; Organic Chemistry; Johan Gadolin Process Chemistry Centre; Åbo Akademi University; FI-20500 Turku Finland
| | - Mark Johnson
- Faculty of Science and Engineering; Structural Bioinformatics Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Jessica Rosenholm
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
| | - Niklas Sandler
- Faculty of Science and Engineering; Pharmaceutical Sciences Laboratory; Åbo Akademi University; FI-20520 Turku Finland
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Lee SJ, Lee EH, Park SY, Kim JE. Induction of fibrillin-2 and periostin expression in Osterix-knockdown MC3T3-E1 cells. Gene 2016; 596:123-129. [PMID: 27751812 DOI: 10.1016/j.gene.2016.10.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 09/30/2016] [Accepted: 10/13/2016] [Indexed: 12/16/2022]
Abstract
Osteoporosis is the most common age-related bone disease that is characterized by an imbalance between osteoblasts for bone formation and osteoclasts for bone resorption. Anti-catabolic drugs have been developed to inhibit osteoclast activity and to prevent bone loss in osteoporosis. However, because it is difficult to increase bone mass in osteoporotic bone, it would be beneficial to simultaneously enhance osteoblast function and thus form bone. Osterix (Osx) is an essential transcription factor for osteoblast differentiation. To date, many studies have focused on discovering Osx target genes and on increasing osteoblast differentiation. However, Osx targets and the mechanisms controlling osteoblast differentiation, are not well known. Here, we generated stable Osx-knockdown cell lines by employing shRNA in MC3T3-E1 osteoblastic cells. Stable Osx-knockdown osteoblasts exhibited a significant reduction in cell differentiation and nodule formation, which was similar to the reduced osteoblast activity observed in an Osx-deficient mouse model. Using an Affymetrix GeneChip microarray, we determined the differential gene expression profile in response to Osx knockdown, which provided insight into molecular mechanisms underlying osteoblast differentiation. Of 2743 genes with roles in cell differentiation, 15 were upregulated and 2 were downregulated in Osx-knockdown osteoblasts. In particular, the expression of fibrillin-2 and periostin was significantly increased in Osx-knockdown osteoblasts compared to that in control cells, as validated by RT-PCR and quantitative real-time PCR. Finally, this study showed differential gene expression profiles for Osx-mediated osteoblast differentiation, suggesting that fibrillin-2 and periostin will be target candidates of Osx in osteoblast differentiation.
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Affiliation(s)
- So-Jeong Lee
- Department of Molecular Medicine, Cell and Matrix Research Institute, Kyungpook National University School of Medicine, Daegu 700-422, Republic of Korea; BK21 Plus KNU Biomedical Convergence Program, Department of Biomedical Science, Kyungpook National University, Daegu 700-422, Republic of Korea
| | - Eun-Hye Lee
- Department of Molecular Medicine, Cell and Matrix Research Institute, Kyungpook National University School of Medicine, Daegu 700-422, Republic of Korea; BK21 Plus KNU Biomedical Convergence Program, Department of Biomedical Science, Kyungpook National University, Daegu 700-422, Republic of Korea
| | - Seung-Yoon Park
- Department of Biochemistry, School of Medicine, Dongguk University, Gyeongju 780-714, Republic of Korea
| | - Jung-Eun Kim
- Department of Molecular Medicine, Cell and Matrix Research Institute, Kyungpook National University School of Medicine, Daegu 700-422, Republic of Korea; BK21 Plus KNU Biomedical Convergence Program, Department of Biomedical Science, Kyungpook National University, Daegu 700-422, Republic of Korea.
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10
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Beer PA, Eaves CJ. Modeling Normal and Disordered Human Hematopoiesis. Trends Cancer 2015; 1:199-210. [DOI: 10.1016/j.trecan.2015.09.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Revised: 09/09/2015] [Accepted: 09/11/2015] [Indexed: 02/06/2023]
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11
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Begley DA, Sundberg JP, Krupke DM, Neuhauser SB, Bult CJ, Eppig JT, Morse HC, Ward JM. Finding mouse models of human lymphomas and leukemia's using the Jackson laboratory mouse tumor biology database. Exp Mol Pathol 2015; 99:533-6. [PMID: 26302176 DOI: 10.1016/j.yexmp.2015.07.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Accepted: 07/07/2015] [Indexed: 01/22/2023]
Abstract
Many mouse models have been created to study hematopoietic cancer types. There are over thirty hematopoietic tumor types and subtypes, both human and mouse, with various origins, characteristics and clinical prognoses. Determining the specific type of hematopoietic lesion produced in a mouse model and identifying mouse models that correspond to the human subtypes of these lesions has been a continuing challenge for the scientific community. The Mouse Tumor Biology Database (MTB; http://tumor.informatics.jax.org) is designed to facilitate use of mouse models of human cancer by providing detailed histopathologic and molecular information on lymphoma subtypes, including expertly annotated, on line, whole slide scans, and providing a repository for storing information on and querying these data for specific lymphoma models.
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Affiliation(s)
| | | | | | | | | | | | - Herbert C Morse
- Virology and Cellular Immunology Section, Laboratory of Immunogenetics, NIAID, NIH, Bethesda, MD USA
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Transgenic Strategies to Study Podocyte Loss and Regeneration. Stem Cells Int 2015; 2015:678347. [PMID: 26089920 PMCID: PMC4451768 DOI: 10.1155/2015/678347] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2014] [Revised: 03/09/2015] [Accepted: 03/10/2015] [Indexed: 01/22/2023] Open
Abstract
Podocyte death and regeneration are major topics in kidney research but remain controversial. Data obtained in humans demonstrate the existence of cells sited along Bowman's capsule that behave as podocyte progenitors in vitro and in in vivo mouse models of podocyte injury xenotrasplanted with this human-derived population. However, this podocyte reservoir still remains elusive in murine models, where it could be more easily studied. Transgenic models can be a powerful tool to identify this population and to better understand its dynamics and hierarchies in both physiological and pathological conditions. Indeed, exploiting transgenic approaches allows detecting, at the single cell level, movements, cell death, and replacement. Moreover, through lineage tracing it is now possible to identify specific population increase and to point out clonal expansions during or after the regenerative processes. However, applying transgenic strategies to study glomerular regeneration requires the search of markers to unequivocally identify this progenitor population. Achieving this aim would lead to a deep comprehension of the biological processes that underlie glomerular regeneration and clarify how different cell pools interface during this phase. Here we discuss strategies that have been used and new approaches in transgenic models finalized to study podocyte loss and subsequent replacement.
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Abstract
Lineage tracing is a powerful tool to track cells in vivo and provides enhanced spatial, temporal, and kinetic resolution of the mechanisms that underlie tissue renewal and repair. The data obtained from novel mouse models engineered for lineage tracing has started to transform our understanding of the changes in cell fate that underlie renal pathophysiology, the role of stem and/or progenitor cells in kidney development, and the mechanisms of kidney regeneration. The complexity of the genetic systems that are engineered for lineage tracing requires careful analysis and interpretation. In this Review we emphasize that close attention in lineage tracing studies must be paid to the specificity of the promoter, the use of drug-controlled activation of Cre recombinase as a genetic switch, and the type of reporter that should be engineered into lineage tracing genetic constructs. We evaluate the optimal experimental conditions required to achieve the pre-specified aims of the study and discuss the novel genetic techniques that are becoming available to study putative renal progenitor cells and the mechanisms of kidney regeneration.
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14
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Begley DA, Krupke DM, Neuhauser SB, Richardson JE, Schofield PN, Bult CJ, Eppig JT, Sundberg JP. Identifying mouse models for skin cancer using the Mouse Tumor Biology Database. Exp Dermatol 2014; 23:761-3. [PMID: 25040013 PMCID: PMC4183210 DOI: 10.1111/exd.12512] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2014] [Indexed: 11/29/2022]
Abstract
In recent years, the scientific community has generated an ever-increasing amount of data from a growing number of animal models of human cancers. Much of these data come from genetically engineered mouse models. Identifying appropriate models for skin cancer and related relevant genetic data sets from an expanding pool of widely disseminated data can be a daunting task. The Mouse Tumor Biology Database (MTB) provides an electronic archive, search and analysis system that can be used to identify dermatological mouse models of cancer, retrieve model-specific data and analyse these data. In this report, we detail MTB's contents and capabilities, together with instructions on how to use MTB to search for skin-related tumor models and associated data.
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Affiliation(s)
| | | | | | | | - Paul N. Schofield
- The Jackson Laboratory, Bar Harbor, ME USA
- Dept. of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
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Abstract
Immunoelectron microscopy (immuno-EM) using gold labeling on sections is a powerful technique for mapping the distribution of proteins, lipids, carbohydrates, and nucleic acids in intact biological systems. The gold particles comprise a useful and readily quantifiable digital readout. Simply applying a labeling reagent (antibody or other affinity probe) to an ultrathin section yields a pattern of gold signal over the biological structures displayed in the section. This initial (raw) distribution of gold signal contains both specific and nonspecific labeling. Here we describe a method for removing nonspecific labeling to leave the target-specific signal. This specific labeling distribution better reflects the "real" distribution of the cell component of interest.
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Affiliation(s)
- Christian Hacker
- School of Medicine and Biology, St. Andrew University, Scotland, UK
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16
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Kumar A, Upadhyaya KC. Perspectives on the Human Genome. Anim Biotechnol 2014. [DOI: 10.1016/b978-0-12-416002-6.00031-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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17
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Hjelm BE, Salhia B, Kurdoglu A, Szelinger S, Reiman RA, Sue LI, Beach TG, Huentelman MJ, Craig DW. In vitro-differentiated neural cell cultures progress towards donor-identical brain tissue. Hum Mol Genet 2013; 22:3534-46. [PMID: 23666530 DOI: 10.1093/hmg/ddt208] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Multiple research groups have observed neuropathological phenotypes and molecular symptoms in vitro using induced pluripotent stem cell (iPSC)-derived neural cell cultures (i.e. patient-specific neurons and glia). However, the global differences/similarities that may exist between in vitro neural cells and their tissue-derived counterparts remain largely unknown. In this study, we compared temporal series of iPSC-derived in vitro neural cell cultures to endogenous brain tissue from the same autopsy donor. Specifically, we utilized RNA sequencing (RNA-Seq) to evaluate the transcriptional progression of in vitro-differentiated neural cells (over a timecourse of 0, 35, 70, 105 and 140 days), and compared this with donor-identical temporal lobe tissue. We observed in vitro progression towards the reference brain tissue, and the following three results support this conclusion: (i) there was a significant increasing monotonic correlation between the days of our timecourse and the number of actively transcribed protein-coding genes and long intergenic non-coding RNAs (lincRNAs) (P < 0.05), consistent with the transcriptional complexity of the brain; (ii) there was an increase in CpG methylation after neural differentiation that resembled the epigenomic signature of the endogenous tissue; and (iii) there was a significant decreasing monotonic correlation between the days of our timecourse and the percent of in vitro to brain-tissue differences (P < 0.05) for tissue-specific protein-coding genes and all putative lincRNAs. Taken together, these results are consistent with in vitro neural development and physiological progression occurring predominantly by transcriptional activation of downregulated genes rather than deactivation of upregulated genes.
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Affiliation(s)
- Brooke E Hjelm
- Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ 85004, USA
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18
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Localized all-cell knock-out (LACKO) strategy is needed for studying adult stage diseases. Transgenic Res 2012; 21:1159-62. [PMID: 22695914 DOI: 10.1007/s11248-012-9622-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Accepted: 05/15/2012] [Indexed: 10/28/2022]
Abstract
Knock-out (KO) mouse models have been increasingly used to dissect the roles of genes in development, diseases, and injuries. The conventional KO approach allows study of the role of the targeted genes in all cells, but it sometimes results in embryonic lethality. Using the classical conditional KO approach, reseachers can avoid embryonic lethality, but they cannot modulate genes in a temporally controllable way. The inducible KO technique, which has been used to study the role of a gene in life processes at the adult stage, avoids the potential interfering role of changed structures and functions of the tissues/organs resulting from the early KO of the gene in the non-inducible conditional knock-out approach. However, it is difficult to develop clinically applicable therapies for some diseases or injuries based on the results obtained from inducible KO studies since the total summed role of the genes of interest in those diseases or injuries cannot be determined and, therefore, the potential therapeutic effects of the applied modulators of the activity of the targeted genes cannot be predicted. To solve this problem of the classical conditional and inducible KO approaches, researchers need to simultaneously knock out a gene in all cells locally-a process called the localized all-cell KO (LACKO) strategy. We describe the concept of this new strategy in detail in this article.
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19
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Hensley PJ, Kyprianou N. Modeling prostate cancer in mice: limitations and opportunities. JOURNAL OF ANDROLOGY 2012; 33:133-44. [PMID: 21680808 PMCID: PMC3726197 DOI: 10.2164/jandrol.111.013987] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The complex dynamics of the tumor microenvironment and prostate cancer heterogeneity have confounded efforts to establish suitable preclinical mouse models to represent human cancer progression from early proliferative phenotypes to aggressive, androgen-independent, and invasive metastatic tumors. Current models have been successful in capitulating individual characteristics of the aggressive tumors. However, none of these models comprehensively mimics human cancer progression, establishing the challenge in their exploitation to study human disease. The ability to tailor phenotypic outcomes in mice by compounding mutations to target specific molecular pathways provides a powerful tool toward disruption of signaling pathways contributing to the initiation and progression of castration-resistant prostate cancer. Each model is characterized by unique features contributing to the understanding of prostate tumorigenesis, as well as limitations challenging our knowledge of the mechanisms of cancer development and progression. Emerging strategies utilize genomic manipulation technology to circumvent these limitations toward the formulation of attractive, physiologically relevant models of prostate cancer progression to advanced disease. This review discusses the current value of the widely used and well-characterized mouse models of prostate cancer progression to metastasis, as well as the opportunities begging exploitation for the development of new models for testing the antitumor efficacy of therapeutic strategies and identifying new biomarkers of disease progression.
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Affiliation(s)
- Patrick J Hensley
- Department of Surgery/Urology, University of Kentucky, Lexington, KY 40536, USA
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Doktorova TY, Pauwels M, Vinken M, Vanhaecke T, Rogiers V. Opportunities for an alternative integrating testing strategy for carcinogen hazard assessment? Crit Rev Toxicol 2011; 42:91-106. [DOI: 10.3109/10408444.2011.623151] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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21
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Macrina A, Tozer P, Kensinger R. Induced lactation in pubertal heifers: Efficacy, response to bovine somatotropin, and profitability. J Dairy Sci 2011; 94:1355-64. [DOI: 10.3168/jds.2010-3811] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2010] [Accepted: 12/10/2010] [Indexed: 11/19/2022]
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22
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Begley DA, Krupke DM, Neuhauser SB, Richardson JE, Bult CJ, Eppig JT, Sundberg JP. The Mouse Tumor Biology Database (MTB): a central electronic resource for locating and integrating mouse tumor pathology data. Vet Pathol 2011; 49:218-23. [PMID: 21282667 DOI: 10.1177/0300985810395726] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The Mouse Tumor Biology Database (MTB) is designed to provide an electronic data storage, search, and analysis system for information on mouse models of human cancer. The MTB includes data on tumor frequency and latency, strain, germ line, and somatic genetics, pathologic notations, and photomicrographs. The MTB collects data from the primary literature, other public databases, and direct submissions from the scientific community. The MTB is a community resource that provides integrated access to mouse tumor data from different scientific research areas and facilitates integration of molecular, genetic, and pathologic data. Current status of MTB, search capabilities, data types, and future enhancements are described in this article.
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Affiliation(s)
- D A Begley
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME 04609-1500, USA
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