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Fanari O, Tavakoli S, Akeson S, Makhamreh A, Nian K, McCormick CA, Qiu Y, Bloch D, Jain M, Wanunu M, Rouhanifard SH. Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess neuronal epitranscriptome plasticity. bioRxiv 2024:2024.03.26.586895. [PMID: 38585714 PMCID: PMC10996719 DOI: 10.1101/2024.03.26.586895] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Chemical modifications in mRNAs such as pseudouridine (psi) can regulate gene expression, although our understanding of the functional impact of individual psi modifications, especially in neuronal cells, is limited. We apply nanopore direct RNA sequencing to investigate psi dynamics under cellular perturbations in SH-SY5Y cells. We assign sites to psi synthases using siRNA-based knockdown. A steady-state enzyme-substrate model reveals a strong correlation between psi synthase and mRNA substrate levels and psi modification frequencies. Next, we performed either differentiation or lead-exposure to SH-SY5Y cells and found that, upon lead exposure, not differentiation, the modification frequency is less dependent on enzyme levels suggesting translational control. Finally, we compared the plasticity of psi sites across cellular states and found that plastic sites can be condition-dependent or condition-independent; several of these sites fall within transcripts encoding proteins involved in neuronal processes. Our psi analysis and validation enable investigations into the dynamics and plasticity of RNA modifications.
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Affiliation(s)
- Oleksandra Fanari
- Dept. of Bioengineering, Northeastern University, Boston, MA
- These authors contributed equally
| | - Sepideh Tavakoli
- Dept. of Bioengineering, Northeastern University, Boston, MA
- These authors contributed equally
| | - Stuart Akeson
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | - Amr Makhamreh
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | - Keqing Nian
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | | | - Yuchen Qiu
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | - Dylan Bloch
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | - Miten Jain
- Dept. of Bioengineering, Northeastern University, Boston, MA
- Dept. of Physics, Northeastern University, Boston, MA
| | - Meni Wanunu
- Dept. of Bioengineering, Northeastern University, Boston, MA
- Dept. of Physics, Northeastern University, Boston, MA
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2
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Yu L, Kang X, Li F, Mehrafrooz B, Makhamreh A, Fallahi A, Foster JC, Aksimentiev A, Chen M, Wanunu M. Author Correction: Unidirectional single-file transport of full-length proteins through a nanopore. Nat Biotechnol 2023; 41:1483. [PMID: 37735269 DOI: 10.1038/s41587-023-01995-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
Affiliation(s)
- Luning Yu
- Department of Physics, Northeastern University, Boston, MA, USA
| | - Xinqi Kang
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Fanjun Li
- Department of Chemistry, University of Massachusetts at Amherst, Amherst, MA, USA
| | - Behzad Mehrafrooz
- Center for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Amr Makhamreh
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Ali Fallahi
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Joshua C Foster
- Molecular and Cellular Biology Program, University of Massachusetts at Amherst, Amherst, MA, USA
| | - Aleksei Aksimentiev
- Center for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Min Chen
- Department of Chemistry, University of Massachusetts at Amherst, Amherst, MA, USA
- Molecular and Cellular Biology Program, University of Massachusetts at Amherst, Amherst, MA, USA
| | - Meni Wanunu
- Department of Physics, Northeastern University, Boston, MA, USA.
- Department of Bioengineering, Northeastern University, Boston, MA, USA.
- Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA.
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3
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Yu L, Kang X, Li F, Mehrafrooz B, Makhamreh A, Fallahi A, Foster JC, Aksimentiev A, Chen M, Wanunu M. Unidirectional single-file transport of full-length proteins through a nanopore. Nat Biotechnol 2023; 41:1130-1139. [PMID: 36624148 PMCID: PMC10329728 DOI: 10.1038/s41587-022-01598-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [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: 05/18/2022] [Accepted: 11/02/2022] [Indexed: 01/10/2023]
Abstract
The electrical current blockade of a peptide or protein threading through a nanopore can be used as a fingerprint of the molecule in biosensor applications. However, threading of full-length proteins has only been achieved using enzymatic unfolding and translocation. Here we describe an enzyme-free approach for unidirectional, slow transport of full-length proteins through nanopores. We show that the combination of a chemically resistant biological nanopore, α-hemolysin (narrowest part is ~1.4 nm in diameter), and a high concentration guanidinium chloride buffer enables unidirectional, single-file protein transport propelled by an electroosmotic effect. We show that the mean protein translocation velocity depends linearly on the applied voltage and translocation times depend linearly on length, resembling the translocation dynamics of ssDNA. Using a supervised machine-learning classifier, we demonstrate that single-translocation events contain sufficient information to distinguish their threading orientation and identity with accuracies larger than 90%. Capture rates of protein are increased substantially when either a genetically encoded charged peptide tail or a DNA tag is added to a protein.
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Affiliation(s)
- Luning Yu
- Department of Physics, Northeastern University, Boston, MA, USA
| | - Xinqi Kang
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Fanjun Li
- Department of Chemistry, University of Massachusetts at Amherst, Amherst, MA, USA
| | - Behzad Mehrafrooz
- Center for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Amr Makhamreh
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Ali Fallahi
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Joshua C Foster
- Molecular and Cellular Biology Program, University of Massachusetts at Amherst, Amherst, MA, USA
| | - Aleksei Aksimentiev
- Center for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Min Chen
- Department of Chemistry, University of Massachusetts at Amherst, Amherst, MA, USA
- Molecular and Cellular Biology Program, University of Massachusetts at Amherst, Amherst, MA, USA
| | - Meni Wanunu
- Department of Physics, Northeastern University, Boston, MA, USA.
- Department of Bioengineering, Northeastern University, Boston, MA, USA.
- Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA.
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Gamper H, McCormick C, Makhamreh A, Wanunu M, Rouhanifard SH, Hou YM. Enzymatic synthesis of RNA standards for mapping and quantifying RNA modifications in sequencing analysis. Methods Enzymol 2023; 692:127-153. [PMID: 37925177 DOI: 10.1016/bs.mie.2023.04.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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] [Indexed: 11/06/2023]
Abstract
Synthesis of RNA standards that contain an internal site-specific modification is important for mapping and quantification of the modified nucleotide in sequencing analysis. While RNA containing a site-specific modification can be readily synthesized by solid-state coupling for less than 100-mer nucleotides, longer RNA must be synthesized by enzymatic ligation in the presence of a DNA splint. However, long RNAs have structural heterogeneity, and those generated by in vitro transcription have 3'-end sequence heterogeneity, which together substantially reduce the yield of ligation. Here we describe a method of 3-part splint ligation that joins an in vitro transcribed left-arm RNA, an in vitro transcribed right-arm RNA, and a chemically synthesized modification-containing middle RNA, with an efficiency higher than previously reported. We report that the improved efficiency is largely attributed to the inclusion of a pair of DNA disruptors proximal to the ligation sites, and to a lesser extent to the homogeneous processing of the 3'-end of the left-arm RNA. The yields of the ligated long RNA are sufficiently high to afford purification to homogeneity for practical RNA research. We also verify the sequence accuracy at each ligation junction by nanopore sequencing.
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Affiliation(s)
- Howard Gamper
- Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Caroline McCormick
- Department of Bioengineering, Northeastern University, Boston, MA, United States
| | - Amr Makhamreh
- Department of Bioengineering, Northeastern University, Boston, MA, United States
| | - Meni Wanunu
- Department of Bioengineering, Northeastern University, Boston, MA, United States; Department of Physics, Northeastern University, Boston, MA, United States
| | - Sara H Rouhanifard
- Department of Bioengineering, Northeastern University, Boston, MA, United States
| | - Ya-Ming Hou
- Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, United States.
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5
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Tavakoli S, Nabizadeh M, Makhamreh A, Gamper H, McCormick CA, Rezapour NK, Hou YM, Wanunu M, Rouhanifard SH. Semi-quantitative detection of pseudouridine modifications and type I/II hypermodifications in human mRNAs using direct long-read sequencing. Nat Commun 2023; 14:334. [PMID: 36658122 PMCID: PMC9852470 DOI: 10.1038/s41467-023-35858-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 01/05/2023] [Indexed: 01/21/2023] Open
Abstract
Here, we develop and apply a semi-quantitative method for the high-confidence identification of pseudouridylated sites on mammalian mRNAs via direct long-read nanopore sequencing. A comparative analysis of a modification-free transcriptome reveals that the depth of coverage and specific k-mer sequences are critical parameters for accurate basecalling. By adjusting these parameters for high-confidence U-to-C basecalling errors, we identify many known sites of pseudouridylation and uncover previously unreported uridine-modified sites, many of which fall in k-mers that are known targets of pseudouridine synthases. Identified sites are validated using 1000-mer synthetic RNA controls bearing a single pseudouridine in the center position, demonstrating systematic under-calling using our approach. We identify mRNAs with up to 7 unique modification sites. Our workflow allows direct detection of low-, medium-, and high-occupancy pseudouridine modifications on native RNA molecules from nanopore sequencing data and multiple modifications on the same strand.
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Affiliation(s)
- Sepideh Tavakoli
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Mohammad Nabizadeh
- Department of Mechanical Engineering, Northeastern University, Boston, MA, USA
| | - Amr Makhamreh
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Howard Gamper
- Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA
| | | | - Neda K Rezapour
- Department of Physics, Northeastern University, Boston, MA, USA
| | - Ya-Ming Hou
- Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Meni Wanunu
- Department of Bioengineering, Northeastern University, Boston, MA, USA
- Department of Physics, Northeastern University, Boston, MA, USA
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Tripathi P, Chandler M, Maffeo CM, Fallahi A, Makhamreh A, Halman J, Aksimentiev A, Afonin KA, Wanunu M. Discrimination of RNA fiber structures using solid-state nanopores. Nanoscale 2022; 14:6866-6875. [PMID: 35441627 PMCID: PMC9520586 DOI: 10.1039/d1nr08002d] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
RNA fibers are a class of biomaterials that can be assembled using HIV-like kissing loop interactions. Because of the programmability of molecular design and low immunorecognition, these structures present an interesting opportunity to solve problems in nanobiotechnology and synthetic biology. However, the experimental tools to fully characterize and discriminate among different fiber structures in solution are limited. Herein, we utilize solid-state nanopore experiments and Brownian dynamics simulations to characterize and distinguish several RNA fiber structures that differ in their degrees of branching. We found that, regardless of the electrolyte type and concentration, fiber structures that have more branches produce longer and deeper ionic current blockades in comparison to the unbranched fibers. Experiments carried out at temperatures ranging from 20-60 °C revealed almost identical distributions of current blockade amplitudes, suggesting that the kissing loop interactions in fibers are resistant to heating within this range.
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Affiliation(s)
- Prabhat Tripathi
- Department of Physics, Northeastern University, Boston, MA, 02115, USA.
| | - Morgan Chandler
- Department of Chemistry, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
| | | | - Ali Fallahi
- Department of Bioengineering, Northeastern University, Boston, MA, 02115, USA
| | - Amr Makhamreh
- Department of Bioengineering, Northeastern University, Boston, MA, 02115, USA
| | - Justin Halman
- Department of Chemistry, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
| | - Aleksei Aksimentiev
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA.
| | - Kirill A Afonin
- Department of Chemistry, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
| | - Meni Wanunu
- Department of Physics, Northeastern University, Boston, MA, 02115, USA.
- Department of Bioengineering, Northeastern University, Boston, MA, 02115, USA
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7
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Tsyporin J, Tastad D, Ma X, Nehme A, Finn T, Huebner L, Liu G, Gallardo D, Makhamreh A, Roberts JM, Katzman S, Sestan N, McConnell SK, Yang Z, Qiu S, Chen B. Transcriptional repression by FEZF2 restricts alternative identities of cortical projection neurons. Cell Rep 2021; 35:109269. [PMID: 34161768 PMCID: PMC8327856 DOI: 10.1016/j.celrep.2021.109269] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [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: 03/06/2020] [Revised: 04/05/2021] [Accepted: 05/27/2021] [Indexed: 11/20/2022] Open
Abstract
Projection neuron subtype identities in the cerebral cortex are established by expressing pan-cortical and subtype-specific effector genes that execute terminal differentiation programs bestowing neurons with a glutamatergic neuron phenotype and subtype-specific morphology, physiology, and axonal projections. Whether pan-cortical glutamatergic and subtype-specific characteristics are regulated by the same genes or controlled by distinct programs remains largely unknown. Here, we show that FEZF2 functions as a transcriptional repressor, and it regulates subtype-specific identities of both corticothalamic and subcerebral neurons by selectively repressing expression of genes inappropriate for each neuronal subtype. We report that TLE4, specifically expressed in layer 6 corticothalamic neurons, is recruited by FEZF2 to inhibit layer 5 subcerebral neuronal genes. Together with previous studies, our results indicate that a cortical glutamatergic identity is specified by multiple parallel pathways active in progenitor cells, whereas projection neuron subtype-specific identity is achieved through selectively repressing genes associated with alternate identities in differentiating neurons.
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Affiliation(s)
- Jeremiah Tsyporin
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - David Tastad
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Xiaokuang Ma
- Department of Basic Medical Sciences, University of Arizona College of Medicine - Phoenix, Phoenix, AZ 85004, USA
| | - Antoine Nehme
- Department of Basic Medical Sciences, University of Arizona College of Medicine - Phoenix, Phoenix, AZ 85004, USA
| | - Thomas Finn
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Liora Huebner
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Guoping Liu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institute for Translational Brain Research, Institutes of Brain Science, Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Daisy Gallardo
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Amr Makhamreh
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Jacqueline M Roberts
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Solomon Katzman
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | | | - Zhengang Yang
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institute for Translational Brain Research, Institutes of Brain Science, Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Shenfeng Qiu
- Department of Basic Medical Sciences, University of Arizona College of Medicine - Phoenix, Phoenix, AZ 85004, USA
| | - Bin Chen
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA.
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