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Membrane dynamics and organelle biogenesis—lipid pipelines and vesicular carriers

Overview of attention for article published in BMC Biology, October 2017
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Title
Membrane dynamics and organelle biogenesis—lipid pipelines and vesicular carriers
Published in
BMC Biology, October 2017
DOI 10.1186/s12915-017-0432-0
Pubmed ID
Authors

Christopher J. Stefan, William S. Trimble, Sergio Grinstein, Guillaume Drin, Karin Reinisch, Pietro De Camilli, Sarah Cohen, Alex M. Valm, Jennifer Lippincott-Schwartz, Tim P. Levine, David B. Iaea, Frederick R. Maxfield, Clare E. Futter, Emily R. Eden, Delphine Judith, Alexander R. van Vliet, Patrizia Agostinis, Sharon A. Tooze, Ayumu Sugiura, Heidi M. McBride

Abstract

Discoveries spanning several decades have pointed to vital membrane lipid trafficking pathways involving both vesicular and non-vesicular carriers. But the relative contributions for distinct membrane delivery pathways in cell growth and organelle biogenesis continue to be a puzzle. This is because lipids flow from many sources and across many paths via transport vesicles, non-vesicular transfer proteins, and dynamic interactions between organelles at membrane contact sites. This forum presents our latest understanding, appreciation, and queries regarding the lipid transport mechanisms necessary to drive membrane expansion during organelle biogenesis and cell growth.

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X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 194 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 24%
Researcher 37 19%
Student > Master 20 10%
Student > Bachelor 14 7%
Student > Doctoral Student 9 5%
Other 23 12%
Unknown 45 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 76 39%
Agricultural and Biological Sciences 35 18%
Immunology and Microbiology 7 4%
Neuroscience 7 4%
Chemistry 7 4%
Other 11 6%
Unknown 51 26%