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homeocurvature-2024's Introduction

Homeocurvature adaptation of phospholipids to pressure in deep-sea invertebrates

Jacob R. Winnikoff, Daniel Milshteyn, Sasiri J. Vargas-Urbano, Miguel A. Pedraza, Aaron M. Armando, Oswald Quehenberger, Alexander Sodt, Richard E. Gillilan, Edward A. Dennis, Edward Lyman, Steven H. D. Haddock, and Itay Budin

If you believe this repo is incomplete, please message its owner or email the corresponding author.

All files herein are distributed under the CC BY-NC-SA (Attribution-NonCommercial-ShareAlike) license

Guide to manuscript repo

  1. homeocurvature-2024.Rproj - Run any of the included R code from within this project to have the relative paths set up by here() work correctly.

  2. 01-rawdata - Mostly SAXS profiles and lipidomics data in ASCII and spreadsheet formats. Some other input files for R scripts are included here.

  3. 02-saxsanalysis - Scripts for and results from parametric fitting of lamellar and inverted SAXS profiles. Data and Shiny code for the ctenophore SAXS P-T eXplorer are also present here.

  4. 02-tidydata - Intermediate "tidied" lipidomics data files.

  5. 03-scripts - R scripts to run all statistical analyses and visualize results. lamellar_mcg subdirectory contains a JScatter python implementation of the Modified Caillé Gaussian (MCG) model for multilamellar vesicle SAXS.

  6. 04-mainfigs - PDF and PNG versions of all main-text figures.

  7. 04-suppfigs - PDF and PNG versions of all SI figures.

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