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Stasevich EM, Simonova AV, Bogomolova EA, Murashko MM, Uvarova AN, Zheremyan EA, Korneev KV, Schwartz AM, Kuprash DV, Demin DE. Cut from the same cloth: RNAs transcribed from regulatory elements. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2024; 1867:195049. [PMID: 38964653 DOI: 10.1016/j.bbagrm.2024.195049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 06/25/2024] [Accepted: 06/28/2024] [Indexed: 07/06/2024]
Abstract
A certain degree of chromatin openness is necessary for the activity of transcription-regulating regions within the genome, facilitating accessibility to RNA polymerases and subsequent synthesis of regulatory element RNAs (regRNAs) from these regions. The rapidly increasing number of studies underscores the significance of regRNAs across diverse cellular processes and diseases, challenging the paradigm that these transcripts are non-functional transcriptional noise. This review explores the multifaceted roles of regRNAs in human cells, encompassing rather well-studied entities such as promoter RNAs and enhancer RNAs (eRNAs), while also providing insights into overshadowed silencer RNAs and insulator RNAs. Furthermore, we assess notable examples of shorter regRNAs, like miRNAs, snRNAs, and snoRNAs, playing important roles. Expanding our discourse, we deliberate on the potential usage of regRNAs as biomarkers and novel targets for cancer and other human diseases.
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Affiliation(s)
- E M Stasevich
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - A V Simonova
- Laboratory of Intracellular Signaling in Health and Disease, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - E A Bogomolova
- Laboratory of Intracellular Signaling in Health and Disease, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia; Moscow Center for Advanced Studies, Moscow, Russia
| | - M M Murashko
- Laboratory of Intracellular Signaling in Health and Disease, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia; Moscow Center for Advanced Studies, Moscow, Russia
| | - A N Uvarova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - E A Zheremyan
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - K V Korneev
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - A M Schwartz
- Department of Human Biology, University of Haifa, Haifa, Israel
| | - D V Kuprash
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - D E Demin
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
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2
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Augspach A, Drake KD, Roma L, Qian E, Lee SR, Clarke D, Kumar S, Jaquet M, Gallon J, Bolis M, Triscott J, Galván JA, Chen Y, Thalmann GN, Kruithof-de Julio M, Theurillat JPP, Wuchty S, Gerstein M, Piscuoglio S, Kanadia RN, Rubin MA. Minor intron splicing is critical for survival of lethal prostate cancer. Mol Cell 2023; 83:1983-2002.e11. [PMID: 37295433 PMCID: PMC10637423 DOI: 10.1016/j.molcel.2023.05.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 03/29/2023] [Accepted: 05/12/2023] [Indexed: 06/12/2023]
Abstract
The evolutionarily conserved minor spliceosome (MiS) is required for protein expression of ∼714 minor intron-containing genes (MIGs) crucial for cell-cycle regulation, DNA repair, and MAP-kinase signaling. We explored the role of MIGs and MiS in cancer, taking prostate cancer (PCa) as an exemplar. Both androgen receptor signaling and elevated levels of U6atac, a MiS small nuclear RNA, regulate MiS activity, which is highest in advanced metastatic PCa. siU6atac-mediated MiS inhibition in PCa in vitro model systems resulted in aberrant minor intron splicing leading to cell-cycle G1 arrest. Small interfering RNA knocking down U6atac was ∼50% more efficient in lowering tumor burden in models of advanced therapy-resistant PCa compared with standard antiandrogen therapy. In lethal PCa, siU6atac disrupted the splicing of a crucial lineage dependency factor, the RE1-silencing factor (REST). Taken together, we have nominated MiS as a vulnerability for lethal PCa and potentially other cancers.
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Affiliation(s)
- Anke Augspach
- Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland
| | - Kyle D Drake
- Physiology and Neurobiology Department, University of Connecticut, Storrs, CT 06269, USA
| | - Luca Roma
- Institute of Pathology and Medical Genetics, University Hospital Basel, 4056 Basel, Switzerland
| | - Ellen Qian
- Department of Computer Science, Yale University, New Haven, CT 06520, USA; Yale College, New Haven, CT 06520, USA
| | - Se Ri Lee
- Department of Computer Science, Yale University, New Haven, CT 06520, USA; Yale College, New Haven, CT 06520, USA
| | - Declan Clarke
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Sushant Kumar
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Muriel Jaquet
- Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland
| | - John Gallon
- Institute of Pathology and Medical Genetics, University Hospital Basel, 4056 Basel, Switzerland
| | - Marco Bolis
- Institute of Oncology Research, 6500 Bellinzona, Switzerland; Computational Oncology Unit, Department of Oncology, Istituto di Ricerche Farmacologiche "Mario Negri" IRCCS, 20156 Milano, Italy
| | - Joanna Triscott
- Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland
| | - José A Galván
- Institute of Pathology, University of Bern, Bern 3008, Switzerland
| | - Yu Chen
- Human Oncology and Pathogenesis Program (HOPP), Memorial Sloan Kettering, New York, NY 10065, USA; Department of Medicine, Memorial Sloan Kettering, New York, NY 10065, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - George N Thalmann
- Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; Department of Urology, Inselspital, Bern University Hospital, 3008 Bern, Switzerland
| | - Marianna Kruithof-de Julio
- Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; Department of Urology, Inselspital, Bern University Hospital, 3008 Bern, Switzerland; Bern Center for Precision Medicine, University of Bern and Inselspital, 3008 Bern, Switzerland
| | - Jean-Philippe P Theurillat
- Institute of Oncology Research, 6500 Bellinzona, Switzerland; Faculty of Biomedical Sciences, Università della Svizzera italiana, 6900 Lugano, Switzerland
| | - Stefan Wuchty
- Department of Computer Science, University of Miami, Coral Gables, FL 33146, USA; Sylvester Comprehensive Cancer Center, University of Miami, Coral Gables, FL 33136, USA; Department of Biology, University of Miami, Coral Gables, FL 33146, USA
| | - Mark Gerstein
- Department of Computer Science, Yale University, New Haven, CT 06520, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Salvatore Piscuoglio
- Institute of Pathology and Medical Genetics, University Hospital Basel, 4056 Basel, Switzerland; Department of Biomedicine, University of Basel, 4031 Basel, Switzerland
| | - Rahul N Kanadia
- Physiology and Neurobiology Department, University of Connecticut, Storrs, CT 06269, USA; Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA.
| | - Mark A Rubin
- Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; Bern Center for Precision Medicine, University of Bern and Inselspital, 3008 Bern, Switzerland.
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3
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Germain ND, Chung WK, Sarmiere PD. RNA interference (RNAi)-based therapeutics for treatment of rare neurologic diseases. Mol Aspects Med 2022; 91:101148. [PMID: 36257857 DOI: 10.1016/j.mam.2022.101148] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 09/18/2022] [Accepted: 10/04/2022] [Indexed: 12/14/2022]
Abstract
Advances in genome sequencing have greatly facilitated the identification of genomic variants underlying rare neurodevelopmental and neurodegenerative disorders. Understanding the fundamental causes of rare monogenic disorders has made gene therapy a possible treatment approach for these conditions. RNA interference (RNAi) technologies such as small interfering RNA (siRNA), microRNA (miRNA), and short hairpin RNA (shRNA), and other oligonucleotide-based modalities such as antisense oligonucleotides (ASOs) are being developed as potential therapeutic approaches for manipulating expression of the genes that cause a variety of neurological diseases. Here, we offer a brief review of the mechanism of action of these RNAi approaches; provide deeper discussion of the advantages, challenges, and specific considerations related to the development of RNAi therapeutics for neurological disease; and highlight examples of rare neurological diseases for which RNAi therapeutics hold great promise.
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Affiliation(s)
- Noelle D Germain
- Ovid Therapeutics, Inc., 1460 Broadway, New York, NY, 10036, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, 1150 St. Nicholas Avenue, Room 620, New York, NY, 10032, USA
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4
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Veselinyová D, Mašlanková J, Kalinová K, Mičková H, Mareková M, Rabajdová M. Selected In Situ Hybridization Methods: Principles and Application. Molecules 2021; 26:molecules26133874. [PMID: 34202914 PMCID: PMC8270300 DOI: 10.3390/molecules26133874] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/04/2021] [Accepted: 06/08/2021] [Indexed: 12/14/2022] Open
Abstract
We are experiencing rapid progress in all types of imaging techniques used in the detection of various numbers and types of mutation. In situ hybridization (ISH) is the primary technique for the discovery of mutation agents, which are presented in a variety of cells. The ability of DNA to complementary bind is one of the main principles in every method used in ISH. From the first use of in situ techniques, scientists paid attention to the improvement of the probe design and detection, to enhance the fluorescent signal intensity and inhibition of cross-hybrid presence. This article discusses the individual types and modifications, and is focused on explaining the principles and limitations of ISH division on different types of probes. The article describes a design of probes for individual types of in situ hybridization (ISH), as well as the gradual combination of several laboratory procedures to achieve the highest possible sensitivity and to prevent undesirable events accompanying hybridization. The article also informs about applications of the methodology, in practice and in research, to detect cell to cell communication and principles of gene silencing, process of oncogenesis, and many other unknown processes taking place in organisms at the DNA/RNA level.
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Affiliation(s)
- Dominika Veselinyová
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
| | - Jana Mašlanková
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
- Correspondence:
| | - Katarina Kalinová
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
| | - Helena Mičková
- Department of Medical Biology, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia;
| | - Mária Mareková
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
| | - Miroslava Rabajdová
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
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5
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Rybakova Y, Gonzalez JT, Bogorad R, Chauhan VP, Dong YL, Whittaker CA, Zatsepin T, Koteliansky V, Anderson DG. Identification of a long non-coding RNA regulator of liver carcinoma cell survival. Cell Death Dis 2021; 12:178. [PMID: 33589614 PMCID: PMC7884843 DOI: 10.1038/s41419-021-03453-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 01/06/2021] [Accepted: 01/12/2021] [Indexed: 02/07/2023]
Abstract
Genomic studies have significantly improved our understanding of hepatocellular carcinoma (HCC) biology and have led to the discovery of multiple protein-coding genes driving hepatocarcinogenesis. In addition, these studies have identified thousands of new non-coding transcripts deregulated in HCC. We hypothesize that some of these transcripts may be involved in disease progression. Long non-coding RNAs are a large class of non-coding transcripts which participate in the regulation of virtually all cellular functions. However, a majority of lncRNAs remain dramatically understudied. Here, we applied a pooled shRNA-based screen to identify lncRNAs essential for HCC cell survival. We validated our screening results using RNAi, CRISPRi, and antisense oligonucleotides. We found a lncRNA, termed ASTILCS, that is critical for HCC cell growth and is overexpressed in tumors from HCC patients. We demonstrated that HCC cell death upon ASTILCS knockdown is associated with apoptosis induction and downregulation of a neighboring gene, protein tyrosine kinase 2 (PTK2), a crucial protein for HCC cell survival. Taken together, our study describes a new, non-coding RNA regulator of HCC.
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Affiliation(s)
- Yulia Rybakova
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
- Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
| | - John T Gonzalez
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Roman Bogorad
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Vikash P Chauhan
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Yize L Dong
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Charles A Whittaker
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Timofei Zatsepin
- Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
| | | | - Daniel G Anderson
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA.
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Harvard and MIT Division of Health Science and Technology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
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6
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Li C, Kasinski AL. InVivo Cancer-Based Functional Genomics. Trends Cancer 2020; 6:1002-1017. [PMID: 32828714 DOI: 10.1016/j.trecan.2020.07.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/13/2020] [Accepted: 07/20/2020] [Indexed: 12/18/2022]
Abstract
Pinpointing the underlying mechanisms that drive tumorigenesis in human patients is a prerequisite for identifying suitable therapeutic targets for precision medicine. In contrast to cell culture systems, mouse models are highly favored for evaluating tumor progression and therapeutic response in a more realistic in vivo context. The past decade has witnessed a dramatic increase in the number of functional genomic studies using diverse mouse models, including in vivo clustered regularly interspaced short palindromic repeats (CRISPR) and RNA interference (RNAi) screens, and these have provided a wealth of knowledge addressing multiple essential questions in translational cancer research. We compare the multiple mouse systems and genomic tools that are commonly used for in vivo screens to illustrate their strengths and limitations. Crucial components of screen design and data analysis are also discussed.
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Affiliation(s)
- Chennan Li
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA; Bindley Biosciences Center, Purdue University, West Lafayette, IN 47907, USA
| | - Andrea L Kasinski
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA; Bindley Biosciences Center, Purdue University, West Lafayette, IN 47907, USA; Purdue Center for Cancer Research, Purdue University, West Lafayette, IN 47907, USA.
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7
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Beiter T, Nieß AM, Moser D. Transcriptional memory in skeletal muscle. Don't forget (to) exercise. J Cell Physiol 2020; 235:5476-5489. [PMID: 31967338 DOI: 10.1002/jcp.29535] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 01/09/2020] [Indexed: 12/29/2022]
Abstract
Transcriptional memory describes an ancient and highly conserved form of cellular learning that enables cells to benefit from recent experience by retaining a mitotically inheritable but reversible memory of the initial transcriptional response when encountering an environmental or physiological stimulus. Herein, we will review recent progress made in the understanding of how cells can make use of diverse constituents of the epigenetic toolbox to retain a transcriptional memory of past states and perturbations. Specifically, we will outline how these mechanisms will help to improve our understanding of skeletal muscle plasticity in health and disease. We describe the epigenetic road map that allows skeletal muscle fibers to navigate through training-induced adaptation processes, and how epigenetic memory marks can preserve an autobiographical history of lifestyle behavior changes, pathological challenges, and aging. We will further consider some key findings in the field of exercise epigenomics to emphasize major challenges when interpreting dynamic changes in the chromatin landscape in response to acute exercise and training.
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Affiliation(s)
- Thomas Beiter
- Department of Sports Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Andreas M Nieß
- Department of Sports Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Dirk Moser
- Department of Genetic Psychology, Faculty of Psychology, Ruhr-University Bochum, Bochum, Germany
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8
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Ben-Yishay R, Shav-Tal Y. The dynamic lifecycle of mRNA in the nucleus. Curr Opin Cell Biol 2019; 58:69-75. [PMID: 30889416 DOI: 10.1016/j.ceb.2019.02.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 01/16/2019] [Accepted: 02/20/2019] [Indexed: 12/15/2022]
Abstract
The mRNA molecule roams through the nucleus on its way out to the cytoplasm. mRNA encounters and is bound by many protein factors, from the moment it begins to emerge from RNA polymerase II and during its travel in the nucleoplasm, where it will come upon chromatin and nuclear bodies. Some of the protein factors that engage with the mRNA can process it, until finally reaching a mature state fit for export through the nuclear pore complex (NPC). Examining the lifecycle of mRNAs in living cells using mRNA tagging techniques opens a window into our understanding of the rules that drive the dynamics of gene expression from transcription to mRNA export.
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Affiliation(s)
- Rakefet Ben-Yishay
- The Mina & Everard Goodman Faculty of Life Sciences and the Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat Gan, Israel
| | - Yaron Shav-Tal
- The Mina & Everard Goodman Faculty of Life Sciences and the Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat Gan, Israel.
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9
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Koh HR, Myong S. Single-Cell Imaging Approaches for Studying Small-RNA-Induced Gene Regulation. Biophys J 2018; 115:203-208. [PMID: 29970232 DOI: 10.1016/j.bpj.2018.05.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 05/23/2018] [Accepted: 05/24/2018] [Indexed: 01/23/2023] Open
Abstract
RNA interference (RNAi) is a process by which gene expression is downregulated by small interfering RNAs or microRNAs. The quantification of the RNAi efficiency can be performed at both the messenger RNA (mRNA) and the protein level, which is required to assess the potency of small interfering RNAs or microRNAs. Recently, we employed a single-cell mRNA imaging method to study RNAi in which we visualized individual mRNA targets with high precision while resolving the cellular localization and cell-to-cell heterogeneity in addition to RNAi efficiency. In this Biophysical Perspective, we highlight our recent work on quantitative analysis of the RNAi pathway and point out some important future directions. Alongside, we discuss about several single-cell imaging techniques that can be applied to study RNAi. The single-cell imaging techniques discussed here are widely applicable to other gene regulation processes such as the CRISPR-CAS system.
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Affiliation(s)
- Hye Ran Koh
- T.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland; Department of Chemistry, Chung-Ang University, Seoul, Korea
| | - Sua Myong
- T.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland; Department of Physics, Center for the Physics of Living Cells and Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois.
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