Messenger ribonucleic acids (mRNAs) comprise a class of small nucleic acids carrying genetic information, which exhibit very important role in medical research and diagnosis. If only the mean mRNA expression levels of the mRNA population are considered in medical research, important information linking mRNA expression and cellular function may be lost. Single-cell analysis provides valuable insights into studying its heterogeneity, signaling, and stochastic gene expression. In this study, a "bunge bedstraw herb"-type DNA machine based on DNAzyme catalyzing coupled clamping hybrid chain reaction (c-HCR) is presented. In the DNA machine, a bunge bedstraw herb-type DNA structure was first formed by hybridizing a core junction scaffold cruciform probe to a hairpin probe that can trigger the c-HCR via a target molecule in four directions. This approach can reduce the detection limit of mRNA to 5 × 10 M. Absolute quantification of survivin mRNA in individual cells was achieved using the DNA machine on a microfluidic chip electrophoresis platform. The reported method represents an unprecedented single-cell analysis platform for single-cell biology studies.
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http://dx.doi.org/10.1016/j.bios.2022.114702 | DOI Listing |
Sci Rep
December 2024
Cereal Disease Laboratory, Agricultural Research Service, US Department of Agriculture, St. Paul, MN, 55108, USA.
Fusarium graminearum is a primary cause of Fusarium head blight (FHB) on wheat and barley. The fungus produces trichothecene mycotoxins that render grain unsuitable for food, feed, or malt. Isolates of F.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing 100020, China.
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and treatment of tuberculosis, making efforts to combat the spread of this global health burden more difficult. To accelerate anti-tuberculosis drug discovery, repurposing clinically approved or investigational drugs for the treatment of tuberculosis by computational methods has become an attractive strategy. In this study, we developed a virtual screening workflow that combines multiple machine learning and deep learning models, and 11 576 compounds extracted from the DrugBank database were screened against Mtb.
View Article and Find Full Text PDFBioinform Biol Insights
December 2024
LIRMM, Univ Montpellier, CNRS, Montpellier, France.
In recent years, several machine learning (ML) approaches have been proposed to predict gene expression signal and chromatin features from the DNA sequence alone. These models are often used to deduce and, to some extent, assess putative new biological insights about gene regulation, and they have led to very interesting advances in regulatory genomics. This article reviews a selection of these methods, ranging from linear models to random forests, kernel methods, and more advanced deep learning models.
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December 2024
School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the standard treatment regimen for patients with head and neck squamous cell carcinoma (HNSCC). However, accurately predicting the treatment effectiveness of ICIs for patients at the same TNM stage remains a challenge. In this study, we first combined multi-omics data (mRNA, lncRNA, miRNA, DNA methylation, and somatic mutations) and 10 clustering algorithms, successfully identifying two distinct cancer subtypes (CSs) (CS1 and CS2).
View Article and Find Full Text PDFClin Transl Med
January 2025
Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
Precision medicine in less-defined subtype diffuse large B-cell lymphoma (DLBCL) remains a challenge due to the heterogeneous nature of the disease. Programmed cell death (PCD) pathways are crucial in the advancement of lymphoma and serve as significant prognostic markers for individuals afflicted with lymphoid cancers. To identify robust prognostic biomarkers that can guide personalized management for less-defined subtype DLBCL patients, we integrated multi-omics data derived from 339 standard R-CHOP-treated patients diagnosed with less-defined subtype DLBCL from three independent cohorts.
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