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Fig. 5m-n | Quantitative PCR to determine copy numbers of mitochondria in ALS motor neurons

https://doi.org/10.17045/STHLMUNI.28152689

This item is part of the Figshare Project: Early mitochondrial dysfunction revealed across FUS- and TARDBP-ALS at single cell resolution (https://su.figshare.com/projects/Early_mitochondrial_dysfunction_revealed_across_FUS-_and_TARDBP-ALS_at_single_cell_resolution/163252Opens in a new tab) From Data Availability Statement for the forthcoming paper in Nature Communications entitled: Single-cell RNA sequencing reveals early mitochondrial dysfunction unique to motor neurons shared across FUS- and TARDBP-ALS "We have deposited all raw and processed RNA sequencing data generated in this study on the NCBI Gene Expression Omnibus (GEO) under the accession number GSE226482. The C9orf72-ALS bulk RNA sequencing data was retrieved directly from the authors of the study. [Items under this Figshare Project contain:] "Scans of fluorescent western blots, raw imaging files from confocal microscopy, the analysis files from Opera Phenix, qPCR data sets, and Seahorse assay result files." -------------------------------------------- [Item specific description:] Mitochondria genome and nuclear genome copy numbers were determined by qPCR. These files relate to quantitative PCR to determine copy numbers of mitochondria in ALS motor neurons. The qPCR machine used was Applied Biosystems 6400 fast real-time PCR system and the files. RNA was assessed by Nanodrop 2000 spectrometry. The spectra and concentration values were exported as NDV files, which are tab separated data tables. Sample meta informations are saved as data tables in TXT and XLSX file format. Raw experimental files from ABI 7500 Fast Real-Time PCR System (Applied Biosystems) are in the file format SDS. More information about the SDS file format can be found here: https://apps.thermofisher.com/apps/help/MAN0010504/GUID-0F46BF98-D779-4BB9-8008-EDA6792FA4DC.htmlOpens in a new tab The melting curves and CT tables from qPCR analysis were exported as CSV files.

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https://doi.org/10.17045/STHLMUNI.28152689

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Stockholm University