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Kilgore HR, Chinn I, Mikhael PG, Mitnikov I, Van Dongen C, Zylberberg G, Afeyan L, Banani S, Wilson-Hawken S, Lee TI, Barzilay R, Young RA. Chemical codes promote selective compartmentalization of proteins. bioRxiv 2024:2024.04.15.589616. [PMID: 38659952 PMCID: PMC11042338 DOI: 10.1101/2024.04.15.589616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Cells have evolved mechanisms to distribute ~10 billion protein molecules to subcellular compartments where diverse proteins involved in shared functions must efficiently assemble. Such assembly is presumed to unfold as a result of specific interactions between biomolecules; however, recent evidence suggests that distinctive chemical environments within subcellular compartments may also play an important role. Here, we test the hypothesis that protein groups with shared functions also share codes that guide them to compartment destinations. To test our hypothesis, we developed a transformer large language model, called ProtGPS, that predicts with high performance the compartment localization of human proteins excluded from the training set. We then demonstrate ProtGPS can be used for guided generation of novel protein sequences that selectively assemble into specific compartments in cells. Furthermore, ProtGPS predictions were sensitive to disease-associated mutations that produce changes in protein compartmentalization, suggesting that this type of pathogenic dysfunction can be discovered in silico. Our results indicate that protein sequences contain not only a folding code, but also a previously unrecognized chemical code governing their distribution in specific cellular compartments.
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Affiliation(s)
- Henry R. Kilgore
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Itamar Chinn
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Peter G. Mikhael
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ilan Mitnikov
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | | | - Guy Zylberberg
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Lena Afeyan
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Salman Banani
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Susana Wilson-Hawken
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
- Program of Computational & Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Tong Ihn Lee
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Regina Barzilay
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Richard A. Young
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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Sun X, Zhou Y, Wang Z, Peng M, Wei X, Xie Y, Wen C, Liu J, Ye M. Biomolecular Condensates Decipher Molecular Codes of Cell Fate: From Biophysical Fundamentals to Therapeutic Practices. Int J Mol Sci 2024; 25:4127. [PMID: 38612940 PMCID: PMC11012904 DOI: 10.3390/ijms25074127] [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: 02/29/2024] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024] Open
Abstract
Cell fate is precisely modulated by complex but well-tuned molecular signaling networks, whose spatial and temporal dysregulation commonly leads to hazardous diseases. Biomolecular condensates (BCs), as a newly emerging type of biophysical assemblies, decipher the molecular codes bridging molecular behaviors, signaling axes, and clinical prognosis. Particularly, physical traits of BCs play an important role; however, a panoramic view from this perspective toward clinical practices remains lacking. In this review, we describe the most typical five physical traits of BCs, and comprehensively summarize their roles in molecular signaling axes and corresponding major determinants. Moreover, establishing the recent observed contribution of condensate physics on clinical therapeutics, we illustrate next-generation medical strategies by targeting condensate physics. Finally, the challenges and opportunities for future medical development along with the rapid scientific and technological advances are highlighted.
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Affiliation(s)
- Xing Sun
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha 410082, China; (X.S.); (Y.Z.); (Z.W.); (M.P.); (X.W.)
- Molecular Biology Research Center and Center for Medical Genetics, School of Life Sciences, Central South University, Changsha 410000, China; (Y.X.); (C.W.)
| | - Yangyang Zhou
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha 410082, China; (X.S.); (Y.Z.); (Z.W.); (M.P.); (X.W.)
| | - Zhiyan Wang
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha 410082, China; (X.S.); (Y.Z.); (Z.W.); (M.P.); (X.W.)
| | - Menglan Peng
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha 410082, China; (X.S.); (Y.Z.); (Z.W.); (M.P.); (X.W.)
| | - Xianhua Wei
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha 410082, China; (X.S.); (Y.Z.); (Z.W.); (M.P.); (X.W.)
| | - Yifang Xie
- Molecular Biology Research Center and Center for Medical Genetics, School of Life Sciences, Central South University, Changsha 410000, China; (Y.X.); (C.W.)
| | - Chengcai Wen
- Molecular Biology Research Center and Center for Medical Genetics, School of Life Sciences, Central South University, Changsha 410000, China; (Y.X.); (C.W.)
| | - Jing Liu
- Molecular Biology Research Center and Center for Medical Genetics, School of Life Sciences, Central South University, Changsha 410000, China; (Y.X.); (C.W.)
| | - Mao Ye
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha 410082, China; (X.S.); (Y.Z.); (Z.W.); (M.P.); (X.W.)
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Liu J, Cabral H, Mi P. Nanocarriers address intracellular barriers for efficient drug delivery, overcoming drug resistance, subcellular targeting and controlled release. Adv Drug Deliv Rev 2024; 207:115239. [PMID: 38437916 DOI: 10.1016/j.addr.2024.115239] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/16/2024] [Accepted: 02/27/2024] [Indexed: 03/06/2024]
Abstract
The cellular barriers are major bottlenecks for bioactive compounds entering into cells to accomplish their biological functions, which limits their biomedical applications. Nanocarriers have demonstrated high potential and benefits for encapsulating bioactive compounds and efficiently delivering them into target cells by overcoming a cascade of intracellular barriers to achieve desirable therapeutic and diagnostic effects. In this review, we introduce the cellular barriers ahead of drug delivery and nanocarriers, as well as summarize recent advances and strategies of nanocarriers for increasing internalization with cells, promoting intracellular trafficking, overcoming drug resistance, targeting subcellular locations and controlled drug release. Lastly, the future perspectives of nanocarriers for intracellular drug delivery are discussed, which mainly focus on potential challenges and future directions. Our review presents an overview of intracellular drug delivery by nanocarriers, which may encourage the future development of nanocarriers for efficient and precision drug delivery into a wide range of cells and subcellular targets.
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Affiliation(s)
- Jing Liu
- Department of Radiology, Huaxi MR Research Center (HMRRC), State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No.17 South Renmin Road, Chengdu, Sichuan 610041, China
| | - Horacio Cabral
- Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
| | - Peng Mi
- Department of Radiology, Huaxi MR Research Center (HMRRC), State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No.17 South Renmin Road, Chengdu, Sichuan 610041, China.
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Ansari AZ. In search of chemical rationales. Nat Chem Biol 2024; 20:264-265. [PMID: 38030787 DOI: 10.1038/s41589-023-01488-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Affiliation(s)
- Aseem Z Ansari
- Department of Chemical Biology and Therapeutics, St Jude Children's Research Hospital, Memphis, TN, USA.
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Sood A, Zhang B. Preserving condensate structure and composition by lowering sequence complexity. bioRxiv 2023:2023.11.29.569249. [PMID: 38076908 PMCID: PMC10705451 DOI: 10.1101/2023.11.29.569249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Biological condensates play a vital role in organizing cellular chemistry. They selectively partition biomolecules, preventing unwanted cross-talk and buffering against chemical noise. Intrinsically disordered proteins (IDPs) serve as primary components of these condensates due to their flexibility and ability to engage in multivalent, non-specific interactions, leading to spontaneous aggregation. Theoretical advancements are critical at connecting IDP sequences with condensate emergent properties to establish the so-called molecular grammar. We proposed an extension to the stickers and spacers model, incorporating non-specific pairwise interactions between spacers alongside specific interactions among stickers. Our investigation revealed that while spacer interactions contribute to phase separation and co-condensation, their non-specific nature leads to disorganized condensates. Specific sticker-sticker interactions drive the formation of condensates with well-defined structures and molecular composition. We discussed how evolutionary pressures might emerge to affect these interactions, leading to the prevalence of low complexity domains in IDP sequences. These domains suppress spurious interactions and facilitate the formation of biologically meaningful condensates.
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Affiliation(s)
- Amogh Sood
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Bin Zhang
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
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