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Dataset supporting the University of Southampton Doctoral Thesis "A platform to investigate the neuronal determinants of APOE genotype on neuron function".

Dataset supporting the University of Southampton Doctoral Thesis "A platform to investigate the neuronal determinants of APOE genotype on neuron function".
Dataset supporting the University of Southampton Doctoral Thesis "A platform to investigate the neuronal determinants of APOE genotype on neuron function".
Dataset supporting the University of Southampton Doctoral Thesis "A platform to investigate the neuronal determinants of APOE genotype on neuron function". The dataset includes raw data for RT-PCR, NanoString, ATP levels for iPSC derived neurons 4-week timecourse and 18-hour KA treatment. The data is presented in Excel and CSV files.
APOE, neuron
University of Southampton
Beyna, Mercedes Erika Alexandra
51c39206-1589-4e40-b45e-00552994739d
Beyna, Mercedes Erika Alexandra
51c39206-1589-4e40-b45e-00552994739d

Beyna, Mercedes Erika Alexandra (2023) Dataset supporting the University of Southampton Doctoral Thesis "A platform to investigate the neuronal determinants of APOE genotype on neuron function". University of Southampton doi:10.5258/SOTON/D2824 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the University of Southampton Doctoral Thesis "A platform to investigate the neuronal determinants of APOE genotype on neuron function". The dataset includes raw data for RT-PCR, NanoString, ATP levels for iPSC derived neurons 4-week timecourse and 18-hour KA treatment. The data is presented in Excel and CSV files.

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Foldchange_EXPT2_3_4_SYP_SV2B.xlsx - Dataset
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iN_E3E3_CRISPR_vs_Lenti_line.xlsx - Dataset
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NanoString_Export_counts.csv - Dataset
Available under License Creative Commons Attribution.
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Neuronal_APOE_study.xlsx - Dataset
Available under License Creative Commons Attribution.
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Neuronal_APOE_study_FOS_ATF4.xlsx - Dataset
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BEYNA_Readme.txt - Dataset
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More information

Published date: 14 October 2023
Keywords: APOE, neuron
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Identifiers

Local EPrints ID: 483038
URI: http://eprints.soton.ac.uk/id/eprint/483038
DOI: doi:10.5258/SOTON/D2824
PURE UUID: fcb20554-d03c-42c2-94ce-8fa34005c5a2
ORCID for Mercedes Erika Alexandra Beyna: ORCID iD orcid.org/0000-0003-0603-3981

Catalogue record

Date deposited: 19 Oct 2023 17:12
Last modified: 24 Oct 2023 01:55

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Contributors

Creator: Mercedes Erika Alexandra Beyna ORCID iD

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