Molecular imaging is a new subject of exploring the biological metabolism process of the cells or organs in living organisms with some non-invasive technologies, such as PETE-CT, MR, and optical imaging instruments, using specific molecular probes to investigate the pathologic and physiologic metabolisms of the patients at molecular and gene levels. With the development of this technology, molecular imaging plays a more and more important role in guiding cancer chemotherapy, choosing sensitive medicines, planning treatment scheme, evaluating chemotherapy effect, and so on.
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Exploring the interplay between enhancer-promoter interactions and transcription.
Curr Opin Genet Dev
January 2025
Department of Biochemistry and Molecular Biophysics, Program for Mathematical Genomics, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address:
Enhancers in metazoan genomes are known to activate their target genes across both short and long genomic distances. Recent advances in chromosome conformation capture assays and single-cell imaging have shed light on the underlying chromatin contacts and dynamics. Yet the relationship between 3D physical enhancer-promoter (E-P) interactions and transcriptional activation remains unresolved.
View Article and Find Full Text PDFMolecular profiling of bladder cancer xenografts defines relevant molecular subtypes and provides a resource for biomarker discovery.
Transl Oncol
January 2025
Johns Hopkins Greenberg Bladder Cancer Institute, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA. Electronic address:
Bladder cancer (BLCA) genomic profiling has identified molecular subtypes with distinct clinical characteristics and variable sensitivities to frontline therapy. BLCAs can be categorized into luminal or basal subtypes based on their gene expression. We comprehensively characterized nine human BLCA cell lines (UC3, UC6, UC9, UC13, UC14, T24, SCaBER, RT4V6 and RT112) into molecular subtypes using orthotopic xenograft models.
View Article and Find Full Text PDFPrevention of liver cancer in the era of next-generation antivirals and obesity epidemic.
Hepatology
January 2025
Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Preventive interventions are expected to substantially improve the prognosis of patients with primary liver cancer, predominantly hepatocellular carcinoma (HCC) and cholangiocarcinoma. HCC prevention is challenging in the face of the evolving etiological landscape, particularly the sharp increase in obesity-associated metabolic disorders, including metabolic dysfunction-associated steatotic liver disease (MASLD). Next-generation anti-HCV and HBV drugs have substantially reduced, but not eliminated, the risk of HCC and have given way to new challenges in identifying at-risk patients.
View Article and Find Full Text PDFPolydopamine-Mediated, Centrifugal Force-Driven Gold Nanoparticle-Deposited Microneedle SERS Sensors for Food Safety Monitoring Theoretical Study of the SERS Substrate Fabrication.
ACS Sens
January 2025
The Education Ministry Key Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Municipal Education Committee Key Laboratory of Molecular Imaging Probes and Sensors, and Department of Chemistry, Shanghai Normal University, Shanghai 200234, P. R. China.
Microneedle (MN) sensors have great promise for food safety detection, but the rapid preparation of MNs for surface-enhanced Raman scattering (SERS) sensors with tunable and homogeneous nanoparticles remains a great challenge. To address this, a SERS sensor of gold nanoparticles@polydopamine@poly(methyl methacrylate) MN (AuNPs@PDA@PMMA-MN) was developed. The extended-Derjaguin-Landau-Verwey-Overbeek theory was applied to calculate the interaction energy between AuNPs and PDA.
View Article and Find Full Text PDFHighly multiplexed imaging reveals prognostic immune and stromal spatial biomarkers in breast cancer.
JCI Insight
January 2025
Department of Biomedical Engineering, Oregon Health and Science University, Portland, United States of America.
Spatial profiling of tissues promises to elucidate tumor-microenvironment interactions and generate prognostic and predictive biomarkers. We analyzed single-cell, spatial data from three multiplex imaging technologies: cyclic immunofluorescence (CycIF) data we generated from 102 breast cancer patients with clinical follow-up, and publicly available imaging mass cytometry and multiplex ion-beam imaging datasets. Similar single-cell phenotyping results across imaging platforms enabled combined analysis of epithelial phenotypes to delineate prognostic subtypes among estrogen-receptor positive (ER+) patients.
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