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huang, l.

Publications and source records attributed to huang, l..

2 recordsLinked to original sources

Pancreatic tumor organoids for modeling in vivo drug response and discovering clinically-actionable biomarkers

Patient-derived models are transforming translational cancer research. It is not clear if the emergence of patient-derived organoid (PDO) models can extend the utility of the widely used patient-derived xenograft (PDX). In addition, the utility of PDO models for serum biomarker discovery is not known. Here, we demonstrate that PDO models recapitulate the genomics, cell biology, glycomics and drug responses observed in PDX models. Furthermore, we demonstrate the applicability of PDO models for identification of N-glycans that are enriched in the glycome of pancreatic ductal adenocarcinoma (PDAC). Surprisingly, among all the glycans observed in PDX and PDOs, a core set of 57 N-glycans represent 50-94% of the relative abundance of all N-glycans detected, suggesting that only a subset of glycans dominate the cell surface landscape in PDAC. In addition, we outline a tumor organoid-based pipeline to identify surface proteins in extracellular vesicles (EV) from media supernatant of PDO cultures. When combined with the affinity-based validation platform, the EV surface proteins discovered in PDOs are effective in differentiating patients with PDAC from those with benign pancreatitis in the clinic, identifying PDO as powerful discovery platform for serum biomarkers. Thus, PDOs extend the utility of the archival collections of PDX models for translational research and function as a powerful platform for identification of clinically-actionable biomarkers in patients blood. Significance statementTumor organoids extend the utility of PDX models as platforms for investigating drug response, glycosylation changes and function as new platforms for discovering blood-based biomarkers

cancer biology↗

Construction of a genetic linkage map in Pyropia yezoensis (Bangiales, Rhodophyta) and QTL analysis of several economic traits of blades

Pyropia yezoensis is an important economic seaweed, to construct a genetic linkage map and analyze the quantitative trait loci (QTLs) of blades, a doubled haploid (DH) population containing 148 DH strains established from the intraspecific hybridization between two strains with different colors was used in the present study and genotyped using 79 pairs of polymorphic sequence-related amplified polymorphism (SRAP) markers labeled with 5'-HEX and capillary electrophoresis. A chi-square test for significance of deviations from the expected ratio (1:1) on the loci which were polymorphic between parents and segregated in mapping population identified 301 loci with normal segregation (P [&ge;] 0.01) and 96 loci (24.18%) with low-level skewed segregation (0.001 [&le;] P < 0.01). The map was constructed using JoinMap software after a total of 92 loci were assembled into three linkage groups. The map spanned 557.36 cM covering 93.71% of the estimated genome, with a mean interlocus space of 6.23 cM. Kolmogorov-Smirnov test (=5%) of the marker positions along each LG showed a uniform distribution. After that, 10 QTLs associated with five economic traits of blades were detected, among which one QTL was for length, one for width, two for fresh weight, two for specific growth rate of length and four for specific growth rate of fresh weight. These QTLs could explain 2.29-7.87% of the trait variations, indicating that their effects were all minor. The results will serve as a framework for future marker-assisted breeding in P. yezoensis.

genetics↗