Role of nuclear localization signals in the DNA delivery function of Chikungunya virus capsid protein

Gaurav, Nitika; Tripathi, Praveen Kumar; Kumar, Vivek; Chugh, Archana; Sundd, Monica; Patel, Ashok Kumar

doi:10.1016/j.abb.2021.108822

Cited by 7 publications

(2 citation statements)

References 29 publications

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“…Overall, studies have demonstrated the potential role of NLS peptides and CPPs bearing NLS peptides in effectively transporting genetic cargoes across the nuclear membrane and into the nucleus. NLS sequences also have been widely used to deliver cargoes such as proteins, peptides, and oligonucleotides for the treatment of various genetic diseases and cancer (57,58).…”

Section: Nuclear Deliverymentioning

confidence: 99%

Peptide-Based Vectors: A Biomolecular Engineering Strategy for Gene Delivery

Urandur

Sullivan

2023

Annual Review of Chemical and Biomolecular Engineering

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From the first clinical trial by Dr. W.F. Anderson to the most recent US Food and Drug Administration–approved Luxturna (Spark Therapeutics, 2017) and Zolgensma (Novartis, 2019), gene therapy has revamped thinking and practice around cancer treatment and improved survival rates for adult and pediatric patients with genetic diseases. A major challenge to advancing gene therapies for a broader array of applications lies in safely delivering nucleic acids to their intended sites of action. Peptides offer unique potential to improve nucleic acid delivery based on their versatile and tunable interactions with biomolecules and cells. Cell-penetrating peptides and intracellular targeting peptides have received particular focus due to their promise for improving the delivery of gene therapies into cells. We highlight key examples of peptide-assisted, targeted gene delivery to cancer-specific signatures involved in tumor growth and subcellular organelle–targeting peptides, as well as emerging strategies to enhance peptide stability and bioavailability that will support long-term implementation. Expected final online publication date for the Annual Review of Chemical and Biomolecular Engineering, Volume 14 is June 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Section: Nuclear Deliverymentioning

confidence: 99%

Peptide-Based Vectors: A Biomolecular Engineering Strategy for Gene Delivery

Urandur

Sullivan

2023

Annual Review of Chemical and Biomolecular Engineering

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“…This exploratory * Author to whom any correspondence should be addressed. tool has been used in biological imaging [1,2], medical diagnosis techniques [3][4][5], food technology [6,7], virus research [8], pharmaceutics [9], environmental sciences [10] and protein secondary structure determination [11]. Other fields as quantum information technology [12][13][14][15], and magnetic material characterization [16,17] have also largely benefited from the detection and characterization of circularly polarized light.…”

Section: Introductionmentioning

confidence: 99%

Machine learning assisted GaAsN circular polarimeter

Aguirre-Perez¹,

Joshya²,

Carrère³

et al. 2022

J. Opt.

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We demonstrate the application of a two stage machine learning algorithm that enables to correlate the electrical signals from a GaAsxN1-x circular polarimeter with the intensity, degree of circular polarization and handedness of an incident light beam. Specifically, we employ a multimodal logistic regression to discriminate the handedness of light and a 6-layer neural network to establish the relationship between the input voltages, the intensity and degree of circular polarization. We have developed a particular neural network training strategy that substantially improves the accuracy of the device. The algorithm was trained and tested on theoretically generated photoconductivity and on photoluminescence experimental results. Even for a small training experimental dataset (70 instances), it is shown that the proposed algorithm correctly predicts linear, right and left circularly polarized light misclassifying less than 1.5% of the cases and attains an accuracy larger than 97% in the vast majority of the predictions (92%) for intensity and degree of circular polarization. These numbers are significantly improved for the larger theoretically generated datasets (4851 instances). The algorithm is versatile enough that it can be easily adjusted to other device configurations where a map needs to be established between the input parameters and the device response. Training and testing data files as well as the algorithm are provided as supplementary material.

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Targeting Specific Barriers

Langel

2023

CPP, Cell-Penetrating Peptides

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Role of nuclear localization signals in the DNA delivery function of Chikungunya virus capsid protein

Cited by 7 publications

References 29 publications

Peptide-Based Vectors: A Biomolecular Engineering Strategy for Gene Delivery

Peptide-Based Vectors: A Biomolecular Engineering Strategy for Gene Delivery

Machine learning assisted GaAsN circular polarimeter

Targeting Specific Barriers

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