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Noda, A.

Publications and source records attributed to Noda, A..

2 recordsLinked to original sources

Intraplacental injection of human iPSC-derived PDX1+ pancreatic progenitors prolongs Pdx1-deficient mice survival

Interspecies chimeras comprising human tissues have potential for use in disease modeling and regenerative medicine. Here, we successfully transplanted human induced pluripotent stem cell (iPSC)-derived PDX1+ pancreatic progenitor cells into Pdx1-deficient mouse embryos via intraplacental injection. The engrafted human cells predominantly localized to the duodenum, produced insulin, and extended the lifespan of Pdx1-/- mice by up to 10 days after birth. Transcriptomic analyses confirmed human pancreatic gene expression in human cells engrafted into the mouse duodenum. Our findings demonstrated the feasibility of generating interspecies chimeras with functional human pancreatic cells through in utero transplantation of lineage-committed progenitors. This approach circumvents developmental barriers while minimizing ethical concerns associated with PSCs. However, the incomplete rescue of the Pdx1-/- phenotype highlights the need for further research to enhance human cell engraftment and tissue integration. Overall, this study provides a foundation for developing human-animal chimera models for studying human development and regenerative therapies.

cell biology↗

Deep embedded clustering by relevant scales and genome-wide association study in autism

The etiology of autism spectrum disorders (ASD) remains unclear. Stratifying patients with ASD may help to identify genetically homogeneous subgroups. Using a deep embedded clustering algorithm, we conducted cluster analyses of Simons Foundation Powering Autism Research for Knowledge (SPARK) datasets and performed genome-wide association studies (GWAS) of the clusters. We observed no significant associations in the conventional GWAS comparing all patients to all controls. However, in the GWAS, comparing patients divided into clusters with similar phenotypes to controls (cluster-based GWAS), we identified 90 chromosomal loci that satisfied the P < 5.0 x 10-8, several of which were located within or near previously reported candidate genes for ASD. Our findings suggest that clustering may successfully identify subgroups with relatively homogeneous disease etiologies.

genomics↗