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      • KCI등재

        Integrated analysis of the transcriptome and metabolome in young and mature leaves of Yunnanopilia longistaminea

        Wang Yuchang,Shen Bingqi,Yang Lin,Wang Dawei 한국식물생명공학회 2022 Plant biotechnology reports Vol.16 No.5

        Yunnanopilia longistaminea is a unique flavor forest vegetable that is mainly determined by the vitamins, amino acids and derivatives, and flavonoids detected in its leaves. This experiment applied to broad targeted metabolomics approach based on UPLC-MS/MS to evaluate metabolic changes and the assessment of differential genes by transcriptome sequencing using the IlluminaHiSeq platform between the Y. longistaminea young leaves (YYL) and mature leaves (YML). The present results showed that a total of 488 compounds in the leaves, of which 275 (56.53%) significantly changed metabolites (SCMs). Compared to young leaves, the abundance of 163 SCMs was down-regulated and 112 SCMs were significantly increased in mature leaves. The results show that flavonoids, amino acids and derivatives, coumarins, nucleotides and derivatives, vitamins, saccharides and alcohol, tannin, and organic acids were significantly downregulated in mature leaves, whereas mature leaves had higher lipids and alkaloids than young leaves. A total of 2082 DEGs were identified, with 939 down- regulated genes and 1143 up-regulated genes in mature leaves compared to young leaves. The experimental work presented here provides the first investigations into Y. longistaminea with metabolic group and transcriptome. This study will prove useful in expanding our understanding of how to analyze biosynthesis at the molecular level, which will encourage further utilization of the Y. longistaminea and its relevant forest vegetables.

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        MRI T2-Weighted Imaging and Fat-Suppressed T2-Weighted Imaging Image Fusion Technology Improves Image Discriminability for the Evaluation of Anal Fistulas

        Shi-Ting Feng,Mengqi Huang,Zhi Dong,Ling Xu,Yin Li,Yingmei Jia,Huasong Cai,Bingqi Shen,Zi-Ping Li 대한영상의학회 2019 Korean Journal of Radiology Vol.20 No.3

        Objective: To explore whether MRI fusion technology (combined T2-weighted imaging [T2WI] and fat-suppressed T2WI [T2WI-FS]) improves signal differences between anal fistulas and surrounding structures. Materials and Methods: A total of 32 patients with confirmed diagnoses of anal fistula were retrospectively studied. All available T2WI and T2WI-FS images for each patient were used to generate fusion image (T2WI-Fusion) based on the addition of gray values obtained from each pixel via an MR post-processing work station. The discriminability of fistula, perianal sphincter, and perianal fat in T2WI, T2WI-FS, and T2WI-Fusion images was quantified with Fisher’s scoring algorithm. For subjective visual image assessment by researchers, five-point scale scores were determined using a modified double-stimulus continuous qualityscale test to evaluate T2WI-FS, T2WI, enhanced axial three-dimensional-volumetric interpolated breath-hold examination (3D-VIBE), and T2WI-Fusion sequence images. The differences were subsequently compared. Results: Mean Fisher scores for fistulas vs. sphincters obtained from T2WI-Fusion (FFusion-fistula = 6.56) were significantly higher than those from T2WI (FT2WI-fistula = 3.35) (p = 0.001). Mean Fisher scores for sphincters vs. fat from T2WI-Fusion (FFusion-sphincter = 10.84) were significantly higher than those from T2WI-FS (FSFS-sphincter = 2.57) (p = 0.001). In human assessment, T2WI-Fusion showed the same fistula discriminability as T2WI-FS, and better sphincter discriminability than T2WI. Overall, T2WI-Fusion showed better discriminability than T2WI, T2WI-FS, and enhanced 3D-VIBE images. Conclusion: T2WI and T2WI-FS fusion technology improves signal differences between anal fistulas and surrounding structures, and may facilitate better evaluation of anal fistulas and sphincters.

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