Background: The photobleaching fluorescence resonance energy transfer (pbFRET) technique is a spectroscopic method to measure proximity relations between fluorescently labeled macromolecules using digital imaging microscopy. To calculate the energy transfer values one has to determine the bleaching time constants in pixel-by-pixel fashion from the image series recorded on the donor-only and donor and acceptor double-labeled samples. Because of the large number of pixels and the time-consuming calculations, this procedure should be assisted by powerful image data processing software. There is no commercially available software that is able to fulfill these requirements.
Methods: New evaluation software was developed to analyze pbFRET data for Windows platform in National Instrument LabVIEW 6.1. This development environment contains a mathematical virtual instrument package, in which the Levenberg-Marquardt routine is also included. As a reference experiment, FRET efficiency between the two chains (beta2-microglobulin and heavy chain) of major histocompatibility complex (MHC) class I glycoproteins and FRET between MHC I and MHC II molecules were determined in the plasma membrane of JY, human B lymphoma cells.
Results: The bleaching time constants calculated on pixel-by-pixel basis can be displayed as a color-coded map or as a histogram from raw image format.
Conclusion: In this report we introduce a new version of pbFRET analysis and data processing software that is able to generate a full analysis pattern of donor photobleaching image series under various conditions. .
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/cyto.a.20175 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The role of inflammatory factors in mediating the causal effects of type 1 diabetes mellitus on idiopathic pulmonary fibrosis: A two-step Mendelian randomization study.
Medicine (Baltimore)
January 2025
Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
While recent studies suggested a potential causal link between type 1 diabetes mellitus (T1DM) but not type 2 diabetes mellitus (T2DM) and idiopathic pulmonary fibrosis (IPF), the involved mechanism remains unclear. Here, using a Mendelian randomization (MR) approach, we verified the causal relationship between the two types of diabetes mellitus and IPF and investigated the possible role of inflammation in the association between diabetes mellitus and IPF. Based on genome-wide association study (GWAS) summary data of T1DM, T2DM, and IPF, the univariable MR, multivariable MR (MVMR), and mediation MR were successively used to analyze the causal relationship.
View Article and Find Full Text PDFDifferential diagnosis of thrombosis and myxoma in unusual heart positions by dual-energy CT multiple parameter imaging: A case series.
Medicine (Baltimore)
January 2025
Department of Medical Imaging, Jincheng People's Hospital, Shanxi, China.
Rationale: Thrombus is the most common occupying lesion in the cardiac chambers, it is often distinguished from cardiac neoplastic occupations. Among them, the most common is cardiac myxoma, whose imaging manifestations are often confused with thrombus. However, the 2 types of lesions have different therapeutic strategies and are both potentially high-risk sources of embolism, so early differentiation between intracardiac thrombus and cardiac tumor is essential.
View Article and Find Full Text PDFDevelopment and validation of a radiomics-visual evoked potential nomogram for preoperative prediction of visual outcome after endoscopic craniopharyngioma resection.
J Neurosurg
January 2025
Departments of1Neurosurgery.
Objective: Craniopharyngiomas are rare, benign brain tumors that are primarily treated with surgery. Although the extended endoscopic endonasal approach (EEEA) has evolved as a more reliable surgical alternative and yields better visual outcomes than traditional craniotomy, postoperative visual deterioration remains one of the most common complications, and relevant risk factors are still poorly defined. Hence, identifying risk factors and developing a predictive model for postoperative visual deterioration is indeed necessary.
View Article and Find Full Text PDFA surgical orthotopic xenograft approach with immune response for colorectal cancer research.
Animal Model Exp Med
January 2025
Cancer Institute, School of Medicine, Jianghan University, Wuhan, China.
The high morbidity and mortality of colorectal cancer (CRC) is a major challenge in clinical practice. Although a series of alternative research models of CRC have been developed, appropriate orthotopic animal models that reproduce the specific clinical response as well as pathophysiological immune features of CRC are still lacking. In the current study, we constructed a CRC orthotopic xenograft model by implanting the tumor tubes at the colorectum of mice and monitored the model development using bioluminescence imaging.
View Article and Find Full Text PDFRisk score stratification of cutaneous melanoma patients based on whole slide images analysis by deep learning.
J Eur Acad Dermatol Venereol
January 2025
Pathology Department, IHP Group, Nantes, France.
Background: There is a need to improve risk stratification of primary cutaneous melanomas to better guide adjuvant therapy. Taking into account that haematoxylin and eosin (HE)-stained tumour tissue contains a huge amount of clinically unexploited morphological informations, we developed a weakly-supervised deep-learning approach, SmartProg-MEL, to predict survival outcomes in stages I to III melanoma patients from HE-stained whole slide image (WSI).
Methods: We designed a deep neural network that extracts morphological features from WSI to predict 5-y overall survival (OS), and assign a survival risk score to each patient.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!