Conversion of human pluripotent stem cells from primed to naïve state is accompanied by altered transcriptome and methylome, but glycosphingolipid (GSL) profiles in naïve human embryonic stem cells (hESCs) have not been systematically characterized. Here we showed a switch from globo-(SSEA-3, SSEA-4, and Globo H) and lacto-series (fucosyl-Lc4Cer) to neolacto-series GSLs (SSEA-1 and H type 2 antigen), along with marked down-regulation of β-1,3-galactosyltransferase (B3GALT5) upon conversion to naïve state. CRISPR/Cas9-generated knockout (KO) hESCs displayed an altered GSL profile, increased cloning efficiency and intracellular Ca, reminiscent of the naïve state, while retaining differentiation ability. The altered GSLs could be rescued through overexpression of B3GALT5. KO cells cultured with 2iLAF exhibited naïve-like transcriptome, global DNA hypomethylation, and X-chromosome reactivation. In addition, -KO rendered hESCs more resistant to calcium chelator in blocking entry into naïve state. Thus, loss of B3GALT5 induces a distinctive state of hESCs displaying unique GSL profiling with expression of neolacto-glycans, increased Ca, and conducive for transition to naïve pluripotency.
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http://dx.doi.org/10.1073/pnas.2003155117 | DOI Listing |
Pediatr Blood Cancer
January 2025
Division of Hematology, Children's National Hospital, Washington, District of Columbia, USA.
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November 2024
State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou, Xuanwu District, Nanjing 210096, China.
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November 2024
College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China.
The role of cell-cell communications (CCCs) is increasingly recognized as being important to differentiation, invasion, metastasis, and drug resistance in tumoral tissues. Developing CCC inference methods using traditional experimental methods are time-consuming, labor-intensive, cannot handle large amounts of data. To facilitate inference of CCCs, we proposed a computational framework, called CellMsg, which involves two primary steps: identifying ligand-receptor interactions (LRIs) and measuring the strength of LRIs-mediated CCCs.
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November 2024
School of Computer Science and Technology, Harbin Institute of Technology, HIT Campus, Shenzhen University Town, Nanshan District, Shenzhen 518055, Guangdong, China.
Antimicrobial peptides (AMPs) emerge as a type of promising therapeutic compounds that exhibit broad spectrum antimicrobial activity with high specificity and good tolerability. Natural AMPs usually need further rational design for improving antimicrobial activity and decreasing toxicity to human cells. Although several algorithms have been developed to optimize AMPs with desired properties, they explored the variations of AMPs in a discrete amino acid sequence space, usually suffering from low efficiency, lack diversity, and local optimum.
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November 2024
Department of Electronic Engineering, Tsinghua University, 100084 Beijing, China.
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