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MicroRNAs (miRNAs) play critical roles in controlling various cellular processes, and the expression levels of individual miRNAs can be considerably altered in pathological conditions such as cancer. Accurate quantification of miRNA at the single-cell level will lead to a better understanding of miRNA function. Here, we present a direct and sensitive method for miRNA detection using atomic force microscopy (AFM). A hybrid binding domain (HBD)-tethered tip enabled mature miRNAs, but not premature miRNAs, to be located individually on an adhesion force map. By scanning several sections of a micrometer-sized DNA spot, we were able to quantify the copy number of miR-134 in a single neuron and demonstrate that the expression was increased upon cell activation. Moreover, we visualized individual miR-134s on fixed neurons after membrane removal and observed 2-4 miR-134s in the area of 1.0 × 1.0 μm(2) of soma. The number increased to 8-14 in stimulated neurons, and this change matches the ensemble-averaged increase in copy number. These findings indicate that miRNAs can be reliably quantified at the single cell level with AFM and that their distribution can be mapped at nanometric lateral resolution without modification or amplification. Furthermore, the analysis of miRNAs, mRNAs, and proteins in the same sample or region by scanning sequentially with different AFM tips would let us accurately understand the post-transcriptional regulation of biological processes.
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http://dx.doi.org/10.1021/jacs.6b05048 | DOI Listing |
Eur J Case Rep Intern Med
July 2025
Servicio de Alergia e Inmunología, Hospital Británico de Buenos Aires, Argentina.
Introduction: Interstitial lung disease is a major complication in patients with common variable immunodeficiency. There are some publications that try to shed light on the pathophysiology of this non-infectious complication, most of them highlight the role of follicular T cells and CD21 B cells. Moreover, there are no guidelines based on randomized controlled studies on the treatment of patients with interstitial lung disease and the published case series or small uncontrolled studies describe a wide range of response rates to treatment.
View Article and Find Full Text PDFInt J Gen Med
September 2025
Department of Geriatrics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Background: Sepsis is characterized by profound immune and metabolic perturbations, with glycolysis serving as a pivotal modulator of immune responses. However, the molecular mechanisms linking glycolytic reprogramming to immune dysfunction remain poorly defined.
Methods: Transcriptomic profiles of sepsis were obtained from the Gene Expression Omnibus.
Research (Wash D C)
September 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype, characterized by a high propensity for metastasis, poor prognosis, and limited treatment options. Research has demonstrated a substantial correlation between the expression of protein arginine N-methyltransferase 1 (PRMT1) and enhanced proliferation, metastasis, and poor outcomes in TNBC. However, the specific role of PRMT1 in lung metastasis and chemoresistance remains unclear.
View Article and Find Full Text PDFFront Rehabil Sci
August 2025
Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
Introduction: Spinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.
Methods: We conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes.
Biomed Rep
November 2025
Department of Radiation Science, Hirosaki University Graduate School of Health Sciences, Hirosaki, Aomori 036-8564, Japan.
Cell senescence is a state of stable proliferation arrest characterized by morphological changes and high senescence-associated β-galactosidase (SA-β-gal) activity. Inducing senescence in cancer cells is beneficial for cancer therapy due to proliferation arrest, however, the mechanisms underlying this process remain insufficiently understood. Therefore, the present study investigated the mechanisms of radiation-induced cellular senescence in A549 human lung cancer cells, focusing on the DNA damage response and cell cycle regulation.
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