Project description:Current selection criteria for liver transplant in patients with HCC (the Milan criteria) do not incorporate biologic metrics. MiRNA expression profiles correlate with HCC recurrence after transplant and can add significant value to the Milan criteria.
2011-10-15 | GSE30297 | GEO
Project description:Bacterial mock community analysis using Nanopore long-read metabarcoding
| PRJNA1139700 | ENA
Project description:eDNA Metabarcoding detection of Leptonycteris nivalis and other pollinators from agave
Project description:Background: Liver transplantation (LT) for Hepatocellular carcinoma (HCC) can be offered to patients beyond Milan criteria. However, there are currently no molecular markers that can be used on HCC explant histology to predict recurrence, which arises in up to 20% of LT recipients. The goal of our study was to identify proteins on HCC explant predictive of recurrence post-transplant, thereby guiding surveillance strategies and identifying patients beyond Milan criteria who would fare well following LT. Methods: LT recipients who had been transplanted at the University Health Network for HCC beyond Milan criteria in the context of Hepatitis B cirrhosis were identified. Snap-frozen samples from the dominant tumors of recurrent (N=7) and non-recurrent (N=4) patients were analyzed using LC-MS/MS on a Q-Exactive Plus mass spectrometer to delineate a distinctive proteomic signature. These tumors were also profiled by a Human Gene 2.0 ST microarray platform to identify a transcriptomic signature predictive of recurrence and analyzed with R packages. STRING database was used to characterize the implicated pathways. Kaplan-Meier estimator was used to generate a combined proteomic/transcriptomic signature predictive of HCC recurrence in patients with HCC beyond Milan criteria at time of LT. Significantly predictive proteins were verified and internally validated by immunoblotting or immunohistochemistry. Results: A total of 79 proteins and 636 genes were significantly differentially expressed in recurrent HCC, compared to non-recurrent (p<0.05). Among these, LGALS3, LGALS3BP, HAL, THBS1, and BLMH, were significantly increased in recurrent HCC at the protein and gene expression level. In turn, ALDH1A1 protein and gene expression were significantly decreased in recurrent HCC. Univariate survival analysis depicted ALDH1A1 (HR=0.084, 95%CI 0.01-0.68, p=0.02), LGALS3BP (HR=7.14, 95%CI 1.20-42.96, p=0.03), and LGALS3 (HR=2.89, 95%CI 1.01-8.3, p=0.049) as the key dysregulated proteins and genes in the patients with HCC recurrence versus those with non-recurrence by both proteomic and transcriptomic analysis. Decreased ALDH1A1 and significantly increased LGALS3 protein expression in recurrent HCC was verified by immunoblotting. Increased LGALS3BP protein expression in recurrent HCC was orthogonally verified and validated by immunohistochemistry in 30 independent HCC samples. Conclusion: Protein and gene expression of the cancer stem cell marker ALDH1A1 was protective against cancer recurrence in patients transplanted for HCC beyond Milan criteria. Conversely, increased expression of LGALS3 and LGALS3BP on explant was significantly predictive of post-transplant recurrence. These findings were internally validated, suggesting potential utility in identifying patients with HCC beyond Milan who would clearly benefit from transplant with limited recurrence risk and guiding post-transplant surveillance.
Project description:We are investigating the mRNA expression profiles of human lung cells to gaseous urban mixtures We used microarrays to compare the global mRNA expression profiles upon response to fresh against aged urban mix Keywords: dose A549 cells were grown to confluency and exposed to fresh urban mix, aged urban mix, or mock-treated. RNA was collected 9 hrs after exposure.
Project description:We sequenced DNA from a bulk of Col x Ler F2 hybrid plants (WT and recq4) using Nanopore long-read sequencing and identified crossover sites with COmapper. For nanopore sequencing of gDNA from 1,000 pooled seedlings, 10-day-old seedlings were ground in liquid nitrogen using a mortar and pestle. The ground tissue was resuspended in four volumes of CTAB buffer (1% [w/v] CTAB, 50 mM Tris-HCl pH 8.0, 0.7 M NaCl, 10 mM EDTA) and incubated at 65°C for 30 min. Following chloroform extraction, isopropanol precipitation and removal of RNAs as above, the gDNA pellet was resuspended in 150 μl TE (10 mM Tris-HCl pH 8.0, 0.1 mM EDTA) buffer and gDNA was quantified using a Qubit dsDNA Broad Range assay kit (Thermo Fisher, Q32853). Nine micrograms of gDNA from pollen or seedlings was used to construct a nanopore long-read sequencing library using a Ligation Sequencing Kit V14 (Nanopore, SQK-LSK114). The libraries were sequenced using a PromethION platform (BGI, Hong Kong).
Project description:The increased urban pressures are often associated with specialization of microbial communities. Microbial communities being a critical player in the geochemical processes, makes it important to identify key environmental parameters that influence the community structure and its function.In this proect we study the influence of land use type and environmental parameters on the structure and function of microbial communities. The present study was conducted in an urban catchment, where the metal and pollutants levels are under allowable limits. The overall goal of this study is to understand the role of engineered physicochemical environment on the structure and function of microbial communities in urban storm-water canals.
Project description:All cell lines were purchased from ATCC (LGC Standards S.r.l., Milan, Italy), except T-47D and MDA-MB-468 that were obtained from the National Cancer Institute Developmental Therapeutics Program (Frederick, MD).