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Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseases across biological systems and scales. Although the field has been around for two decades, it remains nascent. It has witnessed rapid evolution, accompanied by emerging challenges. These stem from various factors, notably the growing complexity and volume of data together with the increased diversity of data types describing different tiers of biological organization. We discuss prevailing research directions in network biology, focusing on molecular/cellular networks but also on other biological network types such as biomedical knowledge graphs, patient similarity networks, brain networks, and social/contact networks relevant to disease spread. In more detail, we highlight areas of inference and comparison of biological networks, multimodal data integration and heterogeneous networks, higher-order network analysis, machine learning on networks, and network-based personalized medicine. Following the overview of recent breakthroughs across these five areas, we offer a perspective on future directions of network biology. Additionally, we discuss scientific communities, educational initiatives, and the importance of fostering diversity within the field. This article establishes a roadmap for an immediate and long-term vision for network biology.

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Background: Although most biologics are produced using recombinant technologies, heparin persists as a product purified from animal tissues. A cell based system for production of heparin would eliminate risk of supply shortage and contamination. Additionally, genetic engineering could yield heparin with improved qualities such as reduced risk of heparin-induced thrombocytopenia. Aims: This work is focused on engineering mammalian cell lines and bioprocess methods to produce recombinant heparin. Methods: The heparan sulfate biosynthetic pathway of mastocytoma cells was genetically engineered to alter the expression of heparan sulfate sulfotransferases. The resulting cell lines were screened for production of anti-FXa activity. Heparan sulfate production from a candidate cell line was tested in chemically defined medium. The recombinant product was characterized structurally and in clotting, anti-protease and heparin induced thrombocytopenia assays. Results: Engineered cells produced heparan sulfate in chemically defined medium with anti-Xa and anti-IIa activity exceeding the requirement for unfractionated heparin despite having lower sulfate content. Chain length was longer than unfractionated heparin. Additionally, binding to platelet factor 4 was reduced compared to unfractionated heparin, suggesting less risk of heparin-induced thrombocytopenia. Conclusion: These results demonstrate the feasibility of producing a substitute for unfractionated heparin from recombinant cell culture. Additionally, recombinant technology may allow production of heparin substitutes with improved properties such as reduced side effects.