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      The narrowing of dendrite branches across nodes follows a well-defined scaling law

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          Significance

          To study the systematic variation of dendrite diameters, we established a superresolution method that allows us to resolve dendrite diameters in Drosophila class IV dendritic arborization neurons, a model cell for studying branching morphogenesis. Interestingly, the diameters do not follow any of the known scaling laws. We propose a different scaling law that follows from two concepts: Terminal branches have the smallest diameters, whose average is about 230 nm, and there is an incremental increase in cross-sectional area needed to support each additional terminal branch. The law is consistent with the growing dendritic tips making the primary metabolic demand, which is supplied by microtubule-based transport. If the law generalizes to other neurons, it may facilitate segmentation in connectomic studies.

          Abstract

          The systematic variation of diameters in branched networks has tantalized biologists since the discovery of da Vinci’s rule for trees. Da Vinci’s rule can be formulated as a power law with exponent two: The square of the mother branch’s diameter is equal to the sum of the squares of those of the daughters. Power laws, with different exponents, have been proposed for branching in circulatory systems (Murray’s law with exponent 3) and in neurons (Rall’s law with exponent 3/2). The laws have been derived theoretically, based on optimality arguments, but, for the most part, have not been tested rigorously. Using superresolution methods to measure the diameters of dendrites in highly branched Drosophila class IV sensory neurons, we have found that these types of power laws do not hold. In their place, we have discovered a different diameter-scaling law: The cross-sectional area is proportional to the number of dendrite tips supported by the branch plus a constant, corresponding to a minimum diameter of the terminal dendrites. The area proportionality accords with a requirement for microtubules to transport materials and nutrients for dendrite tip growth. The minimum diameter may be set by the force, on the order of a few piconewtons, required to bend membrane into the highly curved surfaces of terminal dendrites. Because the observed scaling differs from Rall’s law, we propose that cell biological constraints, such as intracellular transport and protrusive forces generated by the cytoskeleton, are important in determining the branched morphology of these cells.

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          Most cited references55

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          The ability of a eukaryotic cell to resist deformation, to transport intracellular cargo and to change shape during movement depends on the cytoskeleton, an interconnected network of filamentous polymers and regulatory proteins. Recent work has demonstrated that both internal and external physical forces can act through the cytoskeleton to affect local mechanical properties and cellular behaviour. Attention is now focused on how cytoskeletal networks generate, transmit and respond to mechanical signals over both short and long timescales. An important insight emerging from this work is that long-lived cytoskeletal structures may act as epigenetic determinants of cell shape, function and fate.
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            Electromagnetic Diffraction in Optical Systems. II. Structure of the Image Field in an Aplanatic System

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                06 July 2021
                02 July 2021
                02 July 2021
                : 118
                : 27
                : e2022395118
                Affiliations
                [1] aDepartment of Molecular Biophysics and Biochemistry, Yale University , New Haven, CT 06520;
                [2] bTsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University , 100084 Beijing, China
                Author notes
                1To whom correspondence may be addressed. Email: joe.howard@ 123456yale.edu .

                Edited by Yuh Nung Jan, Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, and approved May 17, 2021 (received for review October 28, 2020)

                Author contributions: M.L., X.L., and J.H. designed research; M.L. and X.L. performed research; M.L. and J.H. analyzed data; and M.L. and J.H. wrote the paper.

                Author information
                https://orcid.org/0000-0003-4396-8831
                https://orcid.org/0000-0003-0086-1196
                Article
                202022395
                10.1073/pnas.2022395118
                8271565
                34215693
                39e4a772-c4f0-40fa-99eb-f5fa3f876021
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 7
                Funding
                Funded by: HHS | NIH | National Institute of Mental Health (NIMH) 100000025
                Award ID: DP1 MH110065
                Award Recipient : Maijia Liao Award Recipient : Jonathon Howard
                Funded by: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 100000065
                Award ID: R01 NS118884
                Award Recipient : Maijia Liao Award Recipient : Jonathon Howard
                Categories
                408
                Physical Sciences
                Biophysics and Computational Biology
                Biological Sciences
                Biophysics and Computational Biology

                allometry,microtubule transport,optimality,biological networks

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