Bone morphogenetic protein 4 induces hematopoietic stem cell development from murine hemogenic endothelial cells in culture.

Hematopoietic stem cells (HSCs) develop from hemogenic endothelial cells (HECs) during mouse embryogenesis. Understanding the signaling molecules required for HSC development is crucial for the in vitro derivation of HSCs. We previously induced HSCs from embryonic HECs, isolated at embryonic day 10.

Synthesis of ethyl furfuryl ether etherification of furfuryl alcohol with ethanol over montmorillonite K10.

Ethyl furfuryl ether (EFE), which is synthesized etherification of furfuryl alcohol (FFalc) with ethanol over Brønsted acid catalysts, is used as an additive in gasoline to reduce its consumption and CO emission. In this work, we demonstrate that the performance of this synthesis route can be improved by using commercially available, low-cost, and environmentally friendly montmorillonite K10, which produces EFE in a relatively high yield of 45.3% and a FFalc conversion of 94.

Transition of signal requirement in hematopoietic stem cell development from hemogenic endothelial cells.

Hematopoietic stem cells (HSCs) develop from hemogenic endothelial cells (HECs) in vivo during mouse embryogenesis. When cultured in vitro, cells from the embryo phenotypically defined as pre-HSC-I and pre-HSC-II have the potential to differentiate into HSCs. However, minimal factors required for HSC induction from HECs have not yet been determined.

Atypical heat shock transcription factor HSF5 is critical for male meiotic prophase under non-stress conditions.

Meiotic prophase progression is differently regulated in males and females. In males, pachytene transition during meiotic prophase is accompanied by robust alteration in gene expression. However, how gene expression is regulated differently to ensure meiotic prophase completion in males remains elusive.

Comparative evaluation of analytical pipelines for illumina short- and nanopore long-read 16S rRNA gene amplicon sequencing with mock microbial communities.

Utility of a recently developed long-read pipeline, Emu, was assessed using an expectation-maximization algorithm for accurate read classification. We compared it to conventional short- and long-read pipelines, using well-characterized mock bacterial samples. Our findings highlight the necessity of appropriate data-processing for taxonomic descriptions, expanding our understanding of the precise microbiome.