This DATSETNAMEreadme.txt file was generated on YYYY-MM-DD by NAME GENERAL INFORMATION 1. Title of Dataset: Aldehyde dehydrogenase 3A1 deficiency leads to mitochondrial dysfunction and impacts salivary gland stem cell phenotype 2. Author Information A. Principal Investigator Contact Information Name: Quynh Thu Le Institution: Stanford University Address: Email: qle@stanford.edu B. Associate or Co-investigator Contact Information Name: Vignesh Viswanathan Institution: Stanford University Address: Email: vigneshv@stanford.edu C. Alternate Contact Information Name: Institution: Address: Email: 3. Date of data collection (single date, range, approximate date) : 2018-11-02 to 2022-03-31 4. Geographic location of data collection : Stanford University, CA, USA 5. Information about funding sources that supported the collection of the data: SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: None 2. Links to publications that cite or use the data: https://academic.oup.com/pnasnexus/article/1/2/pgac056/6604846?searchresult=1 3. Links to other publicly accessible locations of the data: https://www.biorxiv.org/content/10.1101/2021.10.25.461994v1 4. Links/relationships to ancillary data sets: 5. Was data derived from another source? yes/no A. If yes, list source(s): No 6. Recommended citation for this dataset: Tobacco-Related Disease Research Program, Award: 27FT-0038 National Center for Advancing Translational Sciences, Award: UL1TR003142 National Institutes of Health, Award: AA11147 DATA & FILE OVERVIEW 1. File List: 1) Data for PNAS_Vignesh contains data for immunostaining experiments, flow cytometry, PCR, in vivo and LC MS analyses 2) code used for R analyses of single cell sequencing data 2. Relationship between files, if important: 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? No A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated? METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Flow cytometry experiments: The data file was exported and analysed using Flowjo software. All the data was normalized to the control of the experiment. Immmunostaining experiments: The immunostaining images were uploaded and quantified using ImageJ software. The color threshold was set for each antibody stain and was kept consistent across all groups. The intensity was measured, quantified and represented as mean fluoresence intensity for immunofluoresence or Mean Arbitary units for Immunohistochemistry experiment. PCR based experiments: The protocol for PCR is described in the manuscript. The expression was normalized to the WT group. All other data sets: The experiment and analyses is well described in the manuscript 2. Methods for processing the data: Data is represented as absolute average values or normalized to the control of the experiment. 3. Instrument- or software-specific information needed to interpret the data: R 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: Vignesh Viswanathan, Hongbin Cao, Julie Saiki, Dadi Jiang, Aaron Mattingly, Dhanya Nambiar, Joshua Bloomstein, Yang Li, Sizun Jiang, Manish Chamoli, Davud Sirjani, Michael Kaplan, F Christopher Holsinger, Rachel Liang, Rie Von Eyben, Haowen Jiang, Li Guan, Edward Lagory, Zhiping Feng, Garry Nolan, Jiangbin Ye, Nicholas Denko, Sarah Knox, Daria-Mochly Rosen, Quynh-Thu Le DATA-SPECIFIC INFORMATION FOR: 1. Number of variables: 2. Number of cases/rows: 3. Variable List: 4. Missing data codes: n 5. Specialized formats or other abbreviations used: