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33 changes: 21 additions & 12 deletions analysis/_site.yml
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name: "Cinquina_2024"
name: "Cinquina et al., 2024"
output_dir: ../docs
navbar:
title: "Cinquina_2024"
title: "Cinquina et al., 2024"
left:
- text: Home
href: index.html
- text: Analysis
menu:
- text: MTT assay analysis of EDA-treated astrocytes
href: MTT.html
- text: About
href: about.html
- text: License
href: license.html
- text: Home
href: index.html
- text: About
href: about.html
- text: Analysis
menu:
- text: MTT assay analysis of EDA-treated astrocytes
href: MTT.html
- text: Exploratory analysis of CaCyBP and S100a6 expression in embryonic mice cortex dataset with focus on astrocytic lineage
href: cortex_visualisation.html
- text: "Methods"
href: methods.html
right:
- text: "License"
href: license.html
- icon: fa-github
href: https://github.com/Harkany-Lab/Cinquina_2024
output:
workflowr::wflow_html:
toc: yes
toc_float: yes
theme: cosmo
highlight: textmate
code_folding: hide
df_print: paged
36 changes: 35 additions & 1 deletion analysis/about.Rmd
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toc: false
editor_options:
chunk_output_type: console
bibliography:
- "`r here::here('data/references/references.bib')`"
---

Describe your project.
# Astrocytes modulate neuronal development by S100A6 signaling

This repository contains code and output of the analysis of single-cell RNA sequencing data and experimental results for the article [Cinquina V et al., 2024][publication].

Please see file `CITATION` in the root of your Git repo that contains the citation information.

To see the results of the analysis please visit the [analysis website][website].

## Purpose:

We aimed to investigate the role of astrocyte-derived factors in regulating neuronal morphogenesis during brain development. Specifically, we hypothesized that S100A6, a Ca²⁺-binding protein expressed by astrocytes, could act as a gliotransmitter to modulate neuronal development through its interaction with calcyclin-binding protein (CaCyBP) in neurons.

## Results:

1. S100A6 is specifically expressed in astrocytes during late embryonic and early postnatal development of the mouse cortex.
2. CaCyBP, the binding partner of S100A6, is expressed in neurons during the same developmental period.
3. S100A6 is released by astrocytes in response to glutamate and eicosapentaenoic acid (EPA) stimulation.
4. Exogenous S100A6 inhibits neurite outgrowth and reduces CaCyBP levels in neurons.
5. CaCyBP regulates protein turnover in neurons through the unfolded protein response (UPR) pathway.
6. Maternal diet, particularly EPA intake, influences S100A6-CaCyBP signaling in the developing fetal brain.

## Conclusions:

Our results describe a novel molecular axis of astrocyte-neuron communication, which is unique in limiting neuronal morphogenesis through the ER/UPS pathway. S100A6 acts as an astrocyte-specific gliotransmitter, which regulates neuronal proteostasis through CaCyBP. This signaling pathway is sensitive to environmental factors, particularly maternal nutrition during pregnancy.

## Data and Code Availability:

Raw data were obtained from the Single Cell Portal [@tarhanSingleCellPortal2023; @dibellaMolecularLogicCellular2021]. All generated data are available in this repository.

The code for the analysis is available at https://github.com/harkany-lab/Cinquina_2024.

[publication]: https://doi.org/ "Cinquina V et al., 2024"
[website]: https://harkany-lab.github.io/Cinquina_2024/index.html "Analysis website"
78 changes: 77 additions & 1 deletion analysis/index.Rmd
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Expand Up @@ -6,6 +6,82 @@ output:
toc: false
editor_options:
chunk_output_type: console
bibliography:
- "`r here::here('data/references/references.bib')`"
---

Welcome to my research website.
Welcome to the analysis website for the manuscript "Astrocytes modulate
neuronal development by S100A6 signaling". This site contains the code
and detailed methods used in our study.

1. System requirements

- All software dependencies and operating systems (including version
numbers) are available in the [methods
section](methods.html "Methods section of the analysis website")
- This analysis has been tested on x86_64-pc-linux-gnu (64-bit)
platform running under Ubuntu 22.04.1 LTS
- The analysis is performed within a Docker container, which can be
obtained from Docker Hub

2. Installation guide

- To reproduce the analysis environment, pull the Docker image using:

```
docker pull etretiakov/workbench-session-complete:jammy-2024.06.19-custom-12.8
```

- Typical pull time on a standard desktop computer with good internet
connection should be within 30 minutes

3. Data availability

- Raw data were obtained from the Single Cell Portal
[@tarhanSingleCellPortal2023; @dibellaMolecularLogicCellular2021]
- All generated data are available in this repository

4. Analysis reproduction

- To reproduce the analysis and figures, use the following command
within the Docker container:

``` r
workflowr::wflow_publish(
c(
"analysis/index.Rmd",
"analysis/methods.Rmd",
"analysis/cortex_visualisation.Rmd",
"analysis/MTT.Rmd"
),
message = "Reproduce analysis site",
project = "."
)
```

This command will:

1. Publish the main index page, methods page, cortical development
analysis, and MTT assay analysis.
2. Use the commit message "Reproduce analysis site".
3. Assume the current working directory is the project root (specified
by `project = "."`).

Make sure to run this command from within your Docker container to
ensure all dependencies are available. You may need to adjust the file
paths if your R Markdown files are located in a different directory
within your project structure.

- Expected run time for full analysis reproduction on a resonably
powerful cluster node or workstation is within several hours

5. Additional resources

- [Seurat analysis of cortical
development](cortex_visualisation.html "Cortical development analysis")
- [MTT assay analysis](MTT.html "MTT assay analysis")
- [Full methods
description](methods.html "Methods section of the analysis website")

For any questions or issues, please open an issue on the [GitHub
repository](https://github.com/harkany-lab/Cinquina_2024).
36 changes: 27 additions & 9 deletions analysis/license.Rmd
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Expand Up @@ -3,19 +3,37 @@ title: "License"
output:
workflowr::wflow_html:
toc: false
theme: cosmo
highlight: textmate
code_folding: hide
df_print: paged
editor_options:
chunk_output_type: console
---

What license are you using for your code? See [choosealicense.com][choose] for
help deciding. It's a convention to save a file `LICENSE` in the root of your
Git repo that contains the license text.
This repository contains code and output of the analysis of single-nuclei
RNA sequencing data for the article [Cinquina V et al., 2023][publication].

What license are you using for the written content on your site? It is
traditional to choose a [Creative Commons][cc] license for this type of content.

[choose]: https://choosealicense.com/
[cc]: https://creativecommons.org/choose/
Please see file `CITATION` in the root of your Git repo that contains
the citation information.

How should others cite your work? It's a convention to save a file `CITATION`
in the root of your Git repo that contains the citation information.

To see the results of the analysis please visit
the [analysis website][website].


The code in this analysis is covered by the
[GNU General Public License v3.0][gpl] and the written content on this website
is covered by a [Creative Commons CC-BY][cc] license.


The publications mentioned and datasets used are covered by their respective
licenses and usage agreements. Please refer to those sources for details.



[publication]: https://doi.org/ "Cinquina V et al., "
[website]: https://harkany-lab.github.io/Hevesi_2023/index.html "Analysis website"
[gpl]: https://choosealicense.com/licenses/gpl-3.0/ "GPL-3.0 License"
[cc]: https://creativecommons.org/licenses/by/4.0/ "CC-BY License"
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