Article
Chemistry, Multidisciplinary
Huan Zhang, Yuhong Cao, Dawei Xu, Natalie S. Goh, Gozde S. Demirer, Stefano Cestellos-Blanco, Yuan Chen, Markita P. Landry, Peidong Yang
Summary: The study synthesizes PEI-AuNCs for delivering siRNA into intact plants, achieving efficient gene knockdown without being hindered by the plant cell wall, providing a new approach for broad applications in plant biotechnology.
Article
Chemistry, Multidisciplinary
Shuojun Li, Jiaying Li, Moqing Du, Guiyun Deng, Zhiyong Song, Heyou Han
Summary: Polymer functionalized graphene oxide nanoparticles (GONs) enable efficient delivery of siRNA into intact plant cells, leading to effective gene silencing. This method offers advantages of high efficiency, transient effect, simplicity, stability, and biocompatibility.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Article
Plant Sciences
Jiaxi Yong, Miaomiao Wu, Run Zhang, Shengnan Bi, Christopher W. G. Mann, Neena Mitter, Bernard J. Carroll, Zhi Ping Xu
Summary: This study demonstrates that layered double hydroxide nanoparticles can quickly penetrate plant leaf cells and chloroplasts, delivering small interfering RNA to downregulate targeted genes. This has significant implications for plant protection against viruses and understanding gene function.
Article
Pharmacology & Pharmacy
Giuseppe Francesco Racaniello, Valentino Laquintana, Juliette Vergnaud, Angela Lopedota, Annalisa Cutrignelli, Antonio Lopalco, Francesco Leonetti, Massimo Franco, Mauro Fiume, Paola Pontrelli, Loreto Gesualdo, Elias Fattal, Nunzio Denora
Summary: This study successfully developed a novel gene delivery agent derived from purified glycogen, which was proven to be effective and non-cytotoxic in transfecting breast and renal cancer cells by releasing siRNA efficiently.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2021)
Article
Oncology
Mohammad Heiat, Ehsan Rezaei, Javad Gharechahi, Masoumeh Abbasi, Javad Behroozi, Mohammad Ali Abyazi, Behzad Baradaran
Summary: Silencing SIX4 inhibits the survival, migration, and invasion ability of pancreatic cancer cells, increases apoptosis and autophagy rates, and reduces mitochondrial membrane potential. Furthermore, knockdown of SIX4 affects the expression of genes related to apoptosis and metastasis. Overall, SIX4 plays a critical role in the development of pancreatic cancer.
Article
Biophysics
Ismail Es, Antonio A. Malfatti-Gasperini, Lucimara Gaziola de la Torre
Summary: Our study investigated the manufacturing of lipid-based nanotherapeutics with stealth properties for siRNA delivery. The results showed that lipid nanocarriers had a bigger particle diameter and surface charge compared to lipoplexes. The inclusion of PEG-lipid resulted in an increase in the surface charge of lipoplexes, while a significant decrease was observed in the surface charge of lipid nanocarriers. Different structural assemblies were identified for lipoplex and lipid nanocarriers using Synchrotron SAXS.
COLLOIDS AND SURFACES B-BIOINTERFACES
(2022)
Article
Materials Science, Biomaterials
Hye Jin Kim, Jong Min Park, Sujin Lee, Hui Bang Cho, Ji-In Park, Jae-Hwan Kim, Ji Sun Park, Keun-Hong Park
Summary: This study aimed to edit and knockdown the RUNX2 gene using the CRISPR-Cas9 system, which successfully inhibited osteoblast differentiation of stem cells. The nanoparticles coated with CRISPR-Cas9 and shRNA vectors were delivered into hMSCs, leading to decreased osteogenic differentiation and increased chondrogenic differentiation. The investigation demonstrated the effectiveness of the CRISPR-Cas9 complexed nanoparticles in enhancing differentiation of mesenchymal stem cells.
BIOMATERIALS SCIENCE
(2022)
Article
Oncology
Florian Draguet, Nathan Dubois, Cyril Bouland, Karlien Pieters, Dominique Bron, Nathalie Meuleman, Basile Stamatopoulos, Laurence Lagneaux
Summary: This study evaluates the use of human umbilical cord mesenchymal stromal cell (UC-MSC)-derived extracellular vesicles (EVs) for specifically targeting pancreatic cancer cells. The findings suggest that UC-MSC-derived EVs can effectively target pancreatic cancer cells and serve as a drug delivery system.
Article
Biophysics
Ganeshlenin Kandasamy, Dipak Maity
Summary: Different therapeutic practices have evolved to improve cancer treatment. Nucleic acids therapy (NAT)/gene therapy has shown potential in inhibiting tumors and preventing relapse. Effective delivery of nucleic acids, particularly RNAs, is crucial. Nanocarriers such as liposomes, polymeric nanoparticles, and exosomes have been used to deliver them and enhance stability. Recent developments in non-targeted/targeted nanocarriers have focused on silencing important genes/mRNAs for abnormal protein production. The therapeutic effects on cancer growth, invasion, and metastasis have been discussed, along with advancements in combining siRNAs with approved chemotherapeutic drugs.
COLLOIDS AND SURFACES B-BIOINTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Hsin-Tzu Hsieh, Hsi-Chien Huang, Chieh-Wei Chung, Cheng-Chin Chiang, Tiffaney Hsia, Hsin-Fang Wu, Rui-Lin Huang, Chi-Shiun Chiang, Jane Wang, Tsai-Te Lu, Yunching Chen
Summary: The study presents an immunotherapeutic approach using CXCR4-targeted lipid-calcium-phosphate nanoparticles for the treatment of glioblastoma multiforme (GBM). By delivering nitric oxide (NO), the approach enhances blood-brain barrier permeability and improves the delivery of siRNA against the immune checkpoint ligand PD-L1 to GBM tumors. This results in increased infiltration and activation of cytotoxic T cells, suppressing GBM progression.
JOURNAL OF CONTROLLED RELEASE
(2022)
Review
Food Science & Technology
Weiyan Xiong, Lavaraj Devkota, Bin Zhang, Jane Muir, Sushil Dhital
Summary: This review highlights the structure and function of intact plant cells as nutritional capsules and discusses isolation techniques. The retention of intact cellular structure slows down the digestion of macronutrients and also modulates the colonic microbiota.
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
(2022)
Article
Multidisciplinary Sciences
Kinya Nomura, Felipe Andreazza, Jie Cheng, Ke Dong, Pei Zhou, Sheng Yang He
Summary: The AvrE family of bacterial effector proteins functions as membrane channels in plant cells, facilitating pathogen growth and disrupting host cell viability. The elucidation of the biochemical function of AvrE family effector proteins is of great significance in understanding bacterial pathogenesis.
Article
Pharmacology & Pharmacy
Xiaoliang Zhao, Jie Yang, Jing Zhang, Xiangyun Wang, Lulu Chen, Chao Zhang, Zhifa Shen
Summary: Researchers synthesized fluorescent carbon dots as a gene vector and resolved the cell targeting issue by using aptamer AS1411. The siRNA delivery system effectively silenced gene expression and inhibited the migration and invasive propensity of hepatocellular carcinoma cells. This study provides a potential efficient method for gene delivery and therapy.
EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS
(2022)
Article
Pharmacology & Pharmacy
Walhan Alshaer, Hadil Zureigat, Arwa Al Karaki, Abdulfattah Al-Kadash, Lobna Gharaibeh, Ma'mon M. Hatmal, Alaa A. A. Aljabali, Abdalla Awidi
Summary: siRNA functions in gene silencing and targets disease-related genes, yet it faces issues such as low cellular uptake and susceptibility to degradation, requiring a carrier for protection and delivery.
EUROPEAN JOURNAL OF PHARMACOLOGY
(2021)
Article
Biophysics
Eman M. Hassan, Shan Zou
Summary: In this study, graphene oxide (GO) was used as a carrier to deliver CD47_siRNA into AML cells. GO formulations modified with polyethylene glycol (PEG) and dendrimers (PAMAM) with small flake sizes achieved the highest silencing efficiency of the anti-phagocytosis marker CD47 gene, resulting in down-regulation of CD47 protein in AML cells. The GO-based formulations showed no cytotoxicity in AML cells or normal blood cells at the concentrations used, suggesting their potential for screening targeted gene therapy drugs in AML.
COLLOIDS AND SURFACES B-BIOINTERFACES
(2022)
Article
Chemistry, Multidisciplinary
Payam Kelich, Sanghwa Jeong, Nicole Navarro, Jaquesta Adams, Xiaoqi Sun, Huanhuan Zhao, Markita P. Landry, Lela Vukovic
Summary: The study utilized machine learning models to train DNA-SWNT conjugates' fluorescence response data, successfully predicting DNA sequences with strong response to the neurotransmitter. Results demonstrated that integrating predictions from convolutional neural network classifiers and support vector machine regression models can improve the accuracy of predicting high and low response sequences.
Article
Chemistry, Multidisciplinary
Francis Ledesma, Bora Ozcan, Xiaoqi Sun, Sebastiana Meza Medina, Markita P. Landry
Summary: Significant progress has been made in developing nanoparticle-mediated delivery systems over the past decade, but the balance between efficacy and safety remains a challenge for clinical translation. Design strategies for efficient and safe in vivo nanoparticle delivery systems should prioritize safety, biodegradability, and covalent functionalization. The complexity of protein cargo introduces additional challenges for cargo loading and stabilization.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Nanoscience & Nanotechnology
Huan Zhang, Natalie S. Goh, Jeffrey W. Wang, Rebecca L. Pinals, Eduardo Gonzalez-Grandio, Gozde S. Demirer, Salwan Butrus, Sirine C. Fakra, Antonio Del Rio Flores, Rui Zhai, Bin Zhao, So-Jung Park, Markita P. Landry
Summary: The study shows the efficient delivery of siRNA and gene silencing in plant leaves by gold nanospheres and nanorods, with 10 nm spherical AuNPs demonstrating the best performance. The research highlights the importance of nanoparticle size in transport within plant tissues and efficient biomolecule delivery.
NATURE NANOTECHNOLOGY
(2022)
Correction
Biotechnology & Applied Microbiology
Eduardo Gonzalez-Grandio, Gozde S. Demirer, Christopher T. Jackson, Darwin Yang, Sophia Ebert, Kian Molawi, Harald Keller, Markita P. Landry
JOURNAL OF NANOBIOTECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Nicholas Ouassil, Rebecca L. Pinals, Jackson Travis Del Bonis-O'Donnell, Jeffrey W. Wang, Markita P. Landry
Summary: Engineered nanoparticles have advantages for biotechnology applications, but testing their compatibility and function in biological systems requires a heuristic approach. A random forest classifier was developed to identify proteins that adsorb to nanoparticles based solely on the protein sequence, and the relationship between protein features and binding capacity was studied. Experimental validation was performed to evaluate the predictive power of the classifier.
Editorial Material
Chemistry, Multidisciplinary
Fun Man Fung, Safia Z. Jilant, Monica L. Ohnsorg, Rebecca L. Pinals, Mohit Saraf, Joshua Tropp, Peter Carlton
ACS CENTRAL SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Shahriar Sharifi, Nigel Reuel, Nathaniel Kallmyer, Ethan Sun, Markita P. Landry, Morteza Mahmoudi
Summary: The reliability and repeatability of data in the nanomedicine literature is a growing concern, particularly in terms of differences between academia and industry. This perspective explores these differences and suggests ways in which academic researchers can adopt industry-level systems to standardize data acquisition.
Editorial Material
Biotechnology & Applied Microbiology
Mark Legendre, Gozde S. Demirer
Summary: Food security is at risk due to global population growth and climate change. The majority of our dietary needs rely on a limited number of crops that are challenging to enhance. Lowe et al. have introduced a plant transformation approach that allows crop genetic engineering, which could potentially contribute to achieving greater food security in the future.
TRENDS IN BIOTECHNOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Siamak K. Sorooshyari, Nicholas Ouassil, Sarah J. Yang, Markita P. Landry
Summary: The emergence of new imaging tools has revolutionized our understanding of neurochemistry in brain development and cognition. In this study, near-infrared catecholamine nanosensors were used to image dopamine modulation in brain tissue slices. Machine learning techniques were applied to identify unique features of dopamine modulation related to stimulation strength and specific neuroanatomical regions. The results showed that machine learning could accurately distinguish dopamine release in different regions of the brain, which was not achievable with conventional statistical analysis. The study highlights the potential of machine learning as a powerful tool in differentiating neuroanatomical regions and detecting features not detectable by conventional statistical analysis.
ACS CHEMICAL NEUROSCIENCE
(2023)
Review
Chemistry, Multidisciplinary
Mohammad J. Hajipour, Reihaneh Safavi-Sohi, Shahriar Sharifi, Nouf Mahmoud, Ali Akbar Ashkarran, Elizabeth Voke, Vahid Serpooshan, Milad Ramezankhani, Abbas S. Milani, Markita P. Landry, Morteza Mahmoudi
Summary: The protein corona is formed spontaneously on nanoparticle surfaces in biological systems/fluids. Characterizing the protein corona is crucial for the development of safe and efficient diagnostic and therapeutic nanomedicine products. This review analyzed 470 papers from 2000 to 2021, covering 1702 nanoparticle systems, and revealed key findings regarding the types of nanoparticles studied, the underrepresentation of lipid-based NPs in corona research, the use of new methods to improve reliability, the focus on personalized medicine, and the importance of careful characterization of nanoparticles after corona formation.
Review
Biotechnology & Applied Microbiology
Yunqing Wang, Gozde S. Demirer
Summary: The development of plant synthetic biology is of great significance and can overcome current challenges to unleash the full potential of engineered plants.
TRENDS IN BIOTECHNOLOGY
(2023)
Review
Nanoscience & Nanotechnology
Morteza Mahmoudi, Markita P. Landry, Anna Moore, Roxana Coreas
Summary: The protein corona is a spontaneous formation and evolution of proteins on the surface of nanoscale materials in biological environments, altering their properties and interactions with biosystems. This Review provides an overview of protein corona research in nanomedicine, discusses challenges in characterization and research methodology, and explores how artificial intelligence can aid in advancing this field. It also highlights emerging opportunities in healthcare and environmental sciences.
NATURE REVIEWS MATERIALS
(2023)
Article
Biology
Minghao W. Rostami, Brittany E. Bannish, Kelsey Gasior, Rebecca L. Pinals, Calina Copos, Adriana T. Dawes
Summary: In this study, the microscale mechanisms that produce different branched actin network structures were investigated using an iterative classification approach. A machine learning framework was established to classify actin networks based on measurable network density and geometry. The findings contribute to a better understanding of the formation mechanisms of actin networks.
JOURNAL OF THEORETICAL BIOLOGY
(2023)
Article
Biology
Jeffrey W. Wang, Henry J. Squire, Natalie S. Goh, Heyuan Michael Ni, Edward Lien, Cerise Wong, Eduardo Gonzalez-Grandio, Markita P. Landry
Summary: This study presents a GFP complementation-based red/green ratiometric sensor called Delivered Complementation in Planta (DCIP) for evaluating the efficiency of peptide-mediated protein delivery in plants. Using a fluorescence complementation assay, the researchers demonstrated the cytosolic delivery of peptides and recombinant proteins in Nicotiana benthamiana mediated by cell-penetrating peptides. The DCIP sensor enables quantitative measurement of protein delivery efficiency and functional screening of cell-penetrating peptides for in-planta protein delivery.
COMMUNICATIONS BIOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Shoichi Nishitani, Tiffany Tran, Andrew Puglise, Sounghyun Yang, Markita P. Landry
Summary: This study presents the development of near-infrared fluorescent single-walled carbon nanotube (SWCNT) based nanosensors for glucose imaging. The authors find that the fluorescence modulation of GOx-SWCNT is not associated with the enzymatic activity but rather triggered by the substrate-enzyme binding. Leveraging this unique mechanism, the authors developed catalytically inactive nanosensors that enable glucose imaging in mouse brain slices.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
