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sun, x.

Publications and source records attributed to sun, x..

3 recordsLinked to original sources

Microglia-Specific Molecular Magnetic Resonance Imaging Probe Enables Noninvasive Separation of Parkinsonian Mice from Controls

AbstractNeuroinflammation mediated by reactive microgliosis is a central driver of Parkinsons disease (PD) pathogenesis. This inflammatory process unfolds years before clinical symptoms, creating an opportunity for early intervention. In vivo imaging technologies that could detect and quantify microglial reactivity are therefore essential for early diagnosis, patient stratification, and evaluating emerging immunomodulatory therapies that target this fundamental driver of PD progression. Yet no standardized, sensitive, and specific technology currently achieves this goal. Molecular magnetic resonance imaging (mMRI) is uniquely suitable to address this problem because it integrates inherent high spatial resolution and soft-tissue contrast of conventional MRI with molecularly targeted contrast agents, enabling simultaneous acquisition of anatomical detail and functional/biological information at submillimeter isotropic resolution. Here we present a novel mMRI probe designed to specifically target colony stimulating factor-1 receptor, expressed primarily on microglia in the brain. In silico data show that the targeting ligand binds the extracellular Ig domain of the receptor. In vitro cell uptake studies with both murine and human microglia cell lines show that the probe binds the receptor triggering active cell uptake and in vivo MRI enabled effective separation of the A53T mouse model of Parkinsons disease from control mice using radiomics-assisted MR image analysis. Ex-vivo immunohistochemical analysis showed signal from the probe largely in the cytosolic compartment of IBA-1 reactive cells, confirming that the observed in vivo MRI signal is due primarily to retention of the agent by microglia. This novel technology has the potential to interrogate the rgional presentation of microglial activation in PD. One Sentence SummaryA microglia targeted MRI probe generates disease-specific contrast after injection, clearly distinguishing A53T Parkinsonian mice from controls.

neuroscience↗

Dissecting the genetic basis of the heterosis of Y900, an elite super-hybrid rice

Y900 is one of the top hybrid rice varieties with a yield exceeding 15 t/hm2. To dissect the mechanism of heterosis, the male parent line R900 and female parent line Y58S were sequenced using long-read and Hi-C technology. High-quality reference genomes of sizes of 396.41 Mb and 398.24 Mb were obtained for R900 and Y58S, respectively. Genome-wide variations between the parents were systematically identified, including 1,367,758 SNPs and 299,149 Indels. No megabase level structural variations exist. >75% of genes exhibited variation between the two parents. Compared with other two-line hybrids sharing the same female parent, the Geng/japonica-type genetic components from different male parents showed an increasing trend from phase 2-4 super-hybrid rice; Transcriptome analysis revealed that additive and dominance effects are the main genetic effects that constitute the heterosis of Y900. Allele-specific expression patterns and expression regulation patterns are quite dynamic in different tissues. For young panicle tissues, cis-regulation is dominant, while trans-regulation is more popular in leaf issues. Overdominance is more likely regulated by the trans-regulation mechanism. The differential gene expression and regulation pattern are closely related to Geng/japonica introgression. Additionally, R900 contained several excellent japonica haplotypes, such as NAL1, OsSPL13, Ghd8, OsBRI1, and DTH2, which make a good complement to Y58S. The fine tune mechanism through dynamic expression or regulation pattern change, especially on some key functional genes, is the base for heterosis.

plant biology↗

IQGAP3 Overexpression Correlates with Poor Prognosis and Radiation Therapy Resistance in Breast Cancer

Background: IQ motif-containing GTPase activating protein 3 (IQGAP3), the latest found protein of IQGAP family, may act as a crucial factor in the process of cancer development and progression; however, its clinical value in breast cancer remains unestablished so far. Our team explored the correlation between IQGAP3 expression profile and the clinicopathological features in breast cancer. Methods: IQGAP3 levels in breast cancer cell lines and tumor tissues were detected by real-time PCR and western blotting and compared to the normal control groups. Protein expression of IQGAP3 was evaluated immunohistochemically in specimens (archived paraffin embedded) of 257 breast cancer patients. We also analyze the association between IQGAP3 expression and the clinical characters and prognosis. The relationship between IQGAP3 expression and sensitivity to radiation therapy was determined by subgroup analysis. Results: There was significant upregulation of IQGAP3 in breast cancer cell lines and human tumor tissues at both the mRNA and protein level compared to the normal ones. In addition, 110/257 (42.8%) of archived paraffin embedded breast cancer specimens had high protein expression of IQGAP3. High expression of IQGAP3 was significantly related to clinical stage (P=0.001), T category (P=0.002), N category (P=0.001), locoregional recurrence(P=0.002), distant metastasis (P=0.001), and vital status (P=0.001). Univariate and multivariate statistical analysis showed that IQGAP3 was an independent prognostic factor of the whole cohort breast cancer patients (P=0.003, P=0.001). Subgroup analysis revealed IQGAP3 expression correlates with radiation therapy resistance and was also an independent predictor for radiation therapy outcome. Conclusions: Our findings suggest that high IQGAP3 expression predicts poor prognosis and radiation therapy resistance in breast cancer. In addition, IQGAP3 may be a reliable novel biomarker to provide personalized prognostication and identify patients who can profit from more aggressive RT regimen for improving the survival of breast cancer patients.

cancer biology↗