A cell transcriptomic profile p ovides insights into adipocytes of porcine mammary gland across development

Background Studying the composition and developmental mechanisms in mammary gland is crucial for healthy growth of newborns. The mammary gland is inherently heterogeneous, and its physiological function dependents on the gene expression of multiple cell types. Most studies focused on epithelial cells, disregarding the role of neighboring adipocytes.Results Here, we constructed the largest transcriptomic dataset of porcine mammary gland cells thus far. The dataset captured 126,829 high-quality nuclei from physiological mammary glands across five developmental stages(d 90 of gestation, G90;d 0 after lactation, L0;d 20 after lactation, L20;2 d post natural involution, PI2;7 d post natural involution, PI7). Seven cell types were identified, including epithelial cells, adipocytes, endothelial cells, fibroblasts cells, immune cells, myoepithelial cells and precursor cells. Our data indicate that mammary glands at different developmental stages have distinct phenotypic and transcriptional signatures. During late gestation(G90), the differentiation and proliferation of adipocytes were inhibited. Meanwhile, partly epithelial cells were completely differentiated. Pseudo-time analysis showed that epithelial cells undergo three stages to achieve lactation, including cellular differentiation, hormone sensing, and metabolic activation. During lactation(L0 and L20), adipocytes area accounts for less than 0.5% of mammary glands. To maintain their own survival, the adipocyte exhibited a poorly differentiated state and a proliferative capacity. Epithelial cells initiate lactation upon hormonal stimulation. After fulfilling lactation mission, their undergo physiological death under high intensity lactation. Interestingly, the physiological dead cells seem to be actively cleared by immune cells via CCL21-ACKR4 pathway. This biological process may be an important mechanism for maintaining homeostasis of the mammary gland. During natural involution(PI2 and PI7), epithelial cell populations dedifferentiate into mesenchymal stem cells to maintain the lactation potential of mammary glands for the next lactation cycle.Conclusion The molecular mechanisms of dedifferentiation, proliferation and redifferentiation of adipocytes and epithelial cells were revealed from late pregnancy to natural involution. This cell transcriptomic profile constitutes an essential reference for future studies in the development and remodeling of the mammary gland at different stages.

Development of Healthy Edible Oil of Spine Date Seed

[Objective] To research and develop spine date seed healthy edible oil. [Method] Spine date seed oil was extracted by supercritical carbon dioxide extraction technology. And then the molecular distillation technology was used to reduce the acid value and peroxide value of spine date seed oil. Activated carbon and carclazyte were used to process the decolorization and deodorization treatment using the absorption characteristics. [Result] The light yellow, clear pine date seed oil with shallow taste was obtained, which had an acid value of 2.03 mg/g, peroxide value of 4 mmol/kg; the GC indicated that the oil contained 5.00% of palmitic acid, 2.00% of stearic acid, 40.46% of oleic acid, 47.72% of linoleic acid and 0.39% of linolenic. [Conclusion] The obtained spine date seed oil basically conformed to the national edible oil standard and could be used as edible oil, but its pharmacological properties needed further study.

Mitigating greenhouse gas emissions from municipal wastewater treatment in China

Municipal wastewater treatment plays an indispensable role in enhancing water quality by eliminating contaminants.While the process is vital,its environmental footprint,especially in terms of greenhouse gas(GHG)emissions,remains underexplored.Here we offer a comprehensive assessment of GHG emissions from wastewater treatment plants(WWTPs)across China.Our analyses reveal an estimated 1.54(0.92-2.65)×10^(4)Gg release of GHGs(CO_(2)-eq)in 2020,with a dominant contribution from N_(2)O emissions and electricity consumption.We can foresee a 60-65%reduction potential in GHG emissions with promising advancements in wastewater treatment,such as cutting-edge biological techniques,intelligent wastewater strategies,and a shift towards renewable energy sources.