Search bioRxiv⌕ Search

Biology subjects

Ohkubo, S.

Publications and source records attributed to Ohkubo, S..

2 recordsLinked to original sources

Distinct dermal fibroblasts direct mechano-chemical signaling to the epidermis during pregnancy

Dermal fibroblasts alter extracellular matrix (ECM) and tissue mechanics dynamically in wound healing and fibrosis, however, are understudied in healthy skin remodeling across life stages. Here, by conducting spatio-temporal transcriptomics, we identified Cdh4+ dermal fibroblast subpopulation that remodels ECM and converts mechano-to-chemical signals to promote epidermal stem cell proliferation in expanding abdominal skin of pregnant mice. Mechanistically, Cdh4+ fibroblasts produce a pregnancy-responsive matrisome, resulting in denser and stiffer dermal fibrils. These fibroblasts then sense the stiffened substrate and convert the mechanical input into a chemical output via the YAP1-TGF{beta}2 axis, leading to the proliferation of epidermal stem cells via TGF{beta} receptor in the expanding skin. Thus, Cdh4+ fibroblasts fine-tune the dermal mechanofield and act as a mechanical-to-chemical signal conversion hub in healthy skin expansion.

developmental biology↗

Prediction of environmental response in field-grown rice using expression-dynamics-QTL

How genetic variations affect gene expression dynamics of field-grown plants remains unclear. Using statistical analysis of large-scale time-series RNA-sequencing of field-grown rice from chromosome segment substitution lines (CSSLs), we identified 1675 expression dynamics quantitative trait loci (edQTLs) leading to polymorphisms in expression dynamics under field conditions. Based on the edQTL and environmental information, we successfully predicted gene expression under environments different from training environments, and in rice cultivars with more complex genotypes than the CSSLs. Overall, edQTL identification helped understanding the genetic architecture of expression dynamics under field conditions, which is difficult to assess with laboratory experiments1.The prediction of expression based on edQTL and environmental information will contribute to crop breeding by increasing the accuracy of trait prediction under diverse conditions.

bioinformatics↗