Publications by authors named "Irene Chen"

Understanding the emergence of complex biochemical systems, such as protein translation, is a great challenge. Although synthetic approaches can provide insight into the potential early stages of life, they do not address the equally important question of why the complex systems of life would have evolved. In particular, the intricacies of the mechanisms governing the transfer of information from nucleic acid sequences to proteins make it difficult to imagine how coded protein synthesis could have emerged from a prebiotic soup.

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Facing the global "superbug" crisis due to the emergence and selection for antibiotic resistance, phages are among the most promising solutions. Fighting multidrug-resistant bacteria requires precise diagnosis of bacterial pathogens and specific cell-killing. Phages have several potential advantages over conventional antibacterial agents such as host specificity, self-amplification, easy production, low toxicity as well as biofilm degradation.

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All lineages of SARS-CoV-2, the coronavirus responsible for the COVID-19 pandemic, contain mutations between amino acids 199 and 205 in the nucleocapsid (N) protein that are associated with increased infectivity. The effects of these mutations have been difficult to determine because N protein contributes to both viral replication and viral particle assembly during infection. Here, we used single-cycle infection and virus-like particle assays to show that N protein phosphorylation has opposing effects on viral assembly and genome replication.

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All known forms of life are composed of cells, whose boundaries are defined by lipid membranes that separate and protect cell contents from the environment. It is unknown how the earliest forms of life were compartmentalized. Several models have suggested a role for single-chain lipids such as fatty acids, but the membranes formed are often unstable, particularly when made from shorter alkyl chains (≤C) that were probably more prevalent on prebiotic Earth.

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Article Synopsis
  • Modern life is homochiral, meaning it primarily utilizes D-sugars in nucleic acids and L-amino acids in proteins, suggesting a significant evolutionary process.
  • The concept of a prebiotic RNA World implies that L-amino acids arose due to chiral transfer from an earlier D-RNA World, facilitated by aminoacyl-RNAs that helped develop the genetic code.
  • Research using D-ribozymes shows that while there is detectable chiral selectivity favoring certain enantiomers, it does not support the idea that D-RNA inherently prefers to react with L-amino acids, indicating that L-proteins can originate from different chiral contexts.
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Article Synopsis
  • - The relationship between genotype and phenotype, known as the fitness landscape, is crucial for understanding genetic engineering and evolution, but mapping these landscapes is technically challenging due to the vast amount of data needed.
  • - Catalytic RNA is a key focus in studying fitness landscapes because of its smaller sequence space and relevance in synthetic biology, with recent advancements allowing for better mapping through in vitro selection and high-throughput sequencing.
  • - Future research will likely employ machine learning techniques to navigate the immense size of sequence space, enhancing our understanding of RNA fitness landscapes and their implications for synthetic biology and protocells.
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ConspectusCreating a living system from nonliving matter is a great challenge in chemistry and biophysics. The early history of life can provide inspiration from the idea of the prebiotic "RNA World" established by ribozymes, in which all genetic and catalytic activities were executed by RNA. Such a system could be much simpler than the interdependent central dogma characterizing life today.

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As SARS-CoV-2 continues to spread worldwide, tractable primary airway cell models that recapitulate the cell-intrinsic response to arising viral variants are needed. Here we describe an adult stem cell-derived human airway organoid model overexpressing the ACE2 receptor (ACE2-OE) that supports robust viral replication while maintaining 3D architecture and cellular diversity of the airway epithelium. ACE2-OE organoids were infected with SARS-CoV-2 variants and subjected to single-cell RNA-sequencing.

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Antimicrobial resistance remains a critical global health concern, necessitating the investigation of alternative therapeutic approaches. With the diminished efficacy of conventional small molecule drugs due to the emergence of highly resilient bacterial strains, there is growing interest in the potential for alternative therapeutic modalities. As naturally occurring viruses of bacteria, bacteriophage (or phage) are being re-envisioned as a platform to engineer properties that can be tailored to target specific bacterial strains and employ diverse antibacterial mechanisms.

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Article Synopsis
  • High-risk features in colorectal adenomatous polyps are identified by their size (greater than 1 cm) and advanced histology, which includes high-grade dysplasia (HGD) and villous architecture.
  • A study involving nine academic institutions analyzed data on 2,700 polyps from 1,886 patients to compare the rates of advanced histology and found significant variability among institutions, with rates for advanced histology ranging from 1.7% to 9.3%.
  • The factor most closely linked to advanced histology was polyp size greater than 1 cm, with a strong odds ratio of 31.82, indicating that differences in polyp sizes across institutions could help explain variation in diagnostic rates,
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Cardiac tumors, although rare, carry high morbidity and mortality rates. They are commonly first identified either at echocardiography or incidentally at thoracoabdominal CT performed for noncardiac indications. Multimodality imaging often helps to determine the cause of these masses.

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The filamentous phage M13 is one of the most well-studied and characterized phages, particularly since it was introduced as a scaffold for phage display, a technique to express and evolve fusion proteins on the M13 phage's coat to study protein or peptide binding interactions. Since phages can be engineered or evolved to specifically bind to a variety of targets, engineered M13 phages have been explored for applications such as drug delivery, biosensing, and cancer therapy, among others. Specifically, with the rising challenge of antimicrobial resistance among bacteria, chimeric M13 phages have been explored both as detection and therapeutic agents due to the flexibility in tuning target specificity.

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Phage-nanomaterial conjugates are functional bio-nanofibers with various applications. While phage display can select for phages with desired genetically encoded functions and properties, nanomaterials can endow the phages with additional features at nanoscale dimensions. Therefore, combining phages with nanotechnology can construct bioconjugates with unique characteristics.

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Nicotine use is a leading cause of preventable deaths worldwide, and most of those who attempt to quit will relapse. While electronic cigarettes and other electronic nicotine delivery systems (ENDS) were presented as a safer alternative to traditional cigarettes and promoted as devices to help traditional tobacco smokers reduce or quit smoking, they have instead contributed to increasing nicotine use among youths. Despite this, ENDS also represent a useful tool to create novel preclinical animal models of nicotine exposure that more accurately represent human nicotine use.

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Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive malignant neoplasm. Certain histologic features and the tumor microenvironment may impact disease progression. We aim to characterize the clinicopathologic features of ICC to identify prognostic factors.

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Introduction: Social robots including telepresence robots have emerged as potential support in dementia care. However, the effectiveness of these robots hinges significantly on their design and utility. These elements are often best understood by their end-users.

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Artificial intelligence and machine learning applications are emerging as transformative technologies in medicine. With greater access to a diverse range of big datasets, researchers are turning to these powerful techniques for data analysis. Machine learning can reveal patterns and interactions between variables in large and complex datasets more accurately and efficiently than traditional statistical methods.

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Detecting bacterial cells with high specificity in deep tissues is challenging. Optical probes provide specificity, but are limited by the scattering and absorption of light in biological tissues. Conversely, magnetic resonance imaging (MRI) allows unfettered access to deep tissues, but lacks contrast agents for detecting specific bacterial strains.

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Nicotine use is a leading cause of preventable deaths worldwide, and most of those who attempt to quit will relapse. While electronic cigarettes and other electronic nicotine delivery systems (ENDS) were presented as a safer alternative to traditional cigarettes and promoted as devices to help traditional tobacco smokers reduce or quit smoking, they have instead contributed to increasing nicotine use among youths. Despite this, ENDS also represent a useful tool to create novel preclinical animal models of nicotine exposure that more accurately represent human nicotine use.

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The SWItch/Sucrose Non-Fermentable (SWI/SNF) complex is a multimeric protein involved in transcription regulation and DNA damage repair. SWI/SNF complex abnormalities are observed in approximately 14-34 % of pancreatic ductal adenocarcinomas (PDACs). Herein, we evaluated the immunohistochemical expression of a subset of the SWI/SNF complex proteins (ARID1A, SMARCA4/BRG1, SMARCA2/BRM, and SMARCB1/INI1) within our PDAC tissue microarray to determine whether SWI/SNF loss is associated with any clinicopathologic features or patient survival in PDAC.

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Synthetic and chimeric receptors capable of recognizing and responding to user-defined antigens have enabled "smart" therapeutics based on engineered cells. These cell engineering tools depend on antigen sensors which are most often derived from antibodies. Advances in the design of proteins have enabled the design of protein binders with the potential to target epitopes with unique properties and faster production timelines compared to antibodies.

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