Dataset Information

A versatile genetic-encoded reporter for magnetic resonance imaging.

ABSTRACT: It has been a long-cherished wish in biomedicine research to have an imaging tool to visualize gene expression, with good spatiotemporal resolution, in rodent and primate animals noninvasively and longitudinally. To this purpose, we here present a novel genetic encoded magnetic resonance imaging reporter, i.e., GEM reporter, for noninvasive visualization of cell-specific gene expression. The GEM reporter was developed through codon modification of a bacteria-originated manganese (Mn) binding protein, allowing the sequestration of endogenous Mn in local tissues. When expressed in bacteria, plant and animals, GEM reporter can robustly produce high image contrast in T1-weighted MRI without additional substrates or contrast agents. Importantly, GEM reporter can be tracked inherently by MRI in specific cells and tissues. These findings support GEM reporter as a versatile marker for deciphering gene expression spatiotemporally in living subjects.

SUBMITTER: Yang H

PROVIDER: S-EPMC10006841 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A versatile genetic-encoded reporter for magnetic resonance imaging.

Yang Haiyang H Qian Zhengjiang Z Liu Chunhua C Tie Changjun C Cai Aoling A Wang Jie J Xing Yao Y Xia Jun J Li Xiang X

Heliyon 20230301 3

It has been a long-cherished wish in biomedicine research to have an imaging tool to visualize gene expression, with good spatiotemporal resolution, in rodent and primate animals noninvasively and longitudinally. To this purpose, we here present a novel genetic encoded magnetic resonance imaging reporter, i.e., GEM reporter, for noninvasive visualization of cell-specific gene expression. The GEM reporter was developed through codon modification of a bacteria-originated manganese (Mn) binding pro ...[more]

PMID: 36915487

Similar Datasets

Project description:ProposeThe early diagnosis of hepatocellular carcinoma (HCC) with ferritin heavy chain (Fth) modified by alpha-fetoprotein (AFP) promoter has been studied. However, no study has focused on the considerable upregulation and specific targeting effects of transferrin receptors (TfR) caused by the transfection of plasmids encoded with the AFP promoter. Thus, the objective of our study was to investigate whether the transfection of Fth gene modified with AFP promoter (AFP@Fth) could be used for early diagnosis and enhanced treatment of HCC.MethodsThe AFP@Fth plasmid was transfected into AFP positive cells. The expression of intracellular Ferritin was verified by Western blot, and the upregulation of TfR was confirmed by immunofluorescence and flow cytometry analysis. Cellular iron accumulation resulting in decreased imaging signals was examined by magnetic resonance imagining. Doxorubicin liposome modified with transferrin (Tf-LPD) was prepared to investigate the efficiency of the subsequent treatment after transfection. The enhanced drug distribution and effects were investigated both in vitro and in vivo.ResultsBoth Ferritin and TfR were overexpressed after transfection. The transfected cells showed higher intracellular iron accumulation and resulted in a lower MR T2-weighted imaging (T2WI) intensity, suggesting that the transfection of AFP@Fth could be a potential strategy for early diagnosis of liver cancer. The following treatment efficacy was revealed by Tf-LPD. As compared with un-transfected cells, transfected cells exhibited higher uptake of transferrin-modified liposomes (Tf-LP), which was due to the specific interaction between Tf and TfR overexpressed on the transfected cells. This is also the reason why Tf-LPD showed better in vitro and in vivo anticancer ability than doxorubicin loaded liposome (LPD). These results suggested that transfection of AFP@Fth could result in enhanced therapy of liver cancer.ConclusionTransfection of AFP@Fth could be used for early diagnosis and for enhanced treatment of live cancers.

Project description:PurposeTo explore, at a high field strength of 7T, the performance of various fat spectral models on the quantification of triglyceride composition and proton density fat fraction (PDFF) using chemical-shift encoded MRI (CSE-MRI).MethodsMR data was acquired from CSE-MRI experiments for various fatty materials, including oil and butter samples and in vivo brown and white adipose mouse tissues. Triglyceride composition and PDFF were estimated using various a priori 6- or 9-peak fat spectral models. To serve as references, NMR spectroscopy experiments were conducted to obtain material specific fat spectral models and triglyceride composition estimates for the same fatty materials. Results obtained using the spectroscopy derived material specific models were compared to results obtained using various published fat spectral models.ResultsUsing a 6-peak fat spectral model to quantify triglyceride composition may lead to large biases at high field strengths. When using a 9-peak model, triglyceride composition estimations vary greatly depending on the relative amplitudes of the chosen a priori spectral model, while PDFF estimations show small variations across spectral models. Material specific spectroscopy derived spectral models produce estimations that better correlate with NMR spectroscopy estimations in comparison to those obtained using non-material specific models.ConclusionAt a high field strength of 7T, a material specific 9-peak fat spectral model, opposed to a widely accepted or generic human liver model, is necessary to accurately quantify triglyceride composition when using CSE-MRI estimation methods that assume the spectral model to be known as a priori information. CSE-MRI allows for the quantification of the spatial distribution of triglyceride composition for certain in vivo applications. Additionally, PDFF quantification is shown to be independent of the chosen a priori spectral model, which agrees with previously reported results obtained at lower field strengths (e.g. 3T).

Dataset Information

A versatile genetic-encoded reporter for magnetic resonance imaging.

Publications

A versatile genetic-encoded reporter for magnetic resonance imaging.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets