New Books from Springer with a Special ASMB Discount

Check out Springer’s Biology of Extracellular Matrix book series, published in collaboration with the American Society for Matrix Biology. ASMB members receive a 40% discount on all books published in the series. Click here for the ASMB member discount. Use this discount code when ordering your book via The Springer Shop.  


Title: The Collagen Superfamily and Collagenopathies

Editor: Florence Ruggiero

This book aims at providing insights into the collagen superfamily and the remarkable diversity of collagen function within the extracellular matrix. Additionally, the mechanisms underlying collagen-related diseases such as dystrophic epidermolysis bullosa, osteogenesis imperfecta, as well as collagen-related myopathies and neurological disorders are discussed.

The book is a useful introduction to the field for junior scientists, interested in extracellular matrix research. It is also an interesting read for advanced scientists and clinicians working on collagens and collagenopathies, giving them a broader view of the field beyond their area of specialization.



Title: Extracellular Matrix Omics

Editor: Sylvie Ricard-Blum

This book covers different omics aspects related to the extracellular matrix (ECM), namely specific omics resources focused on the extracellular matrix (e.g., databases, repositories and atlases), quantitative proteomics applied to specific extracellular matrices (e.g. basement membranes), biological processes such as ECM degradation (degradomics), cell-matrix interactions (adhesomes), signaling pathways, biomarker discovery and diseases, and interactomics (extracellular matrix interaction networks including not only protein-protein but also protein-glycosaminoglycan interactions). The volume also includes recent advances in glycomics and glycobioinformatics applied to proteoglycans and glycosaminoglycans, which are key biological players. The use of omics data to build dynamic models of ECM-regulated biological pathways is addressed, together with the requirement to standardize omic data, which is a prerequisite for the FAIR (Findability, Accessibility, Interoperability, and Reusability) guiding principles for scientific data management.

This book will be of great interest to a broad readership from beginners to advanced researchers, who are interested in extracellular matrix omics and will inspire future research topics.