cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21321460.v1
title: Additional file 7 of Delayed puberty, gonadotropin abnormalities and subfertility in male Padi2/Padi4 double knockout mice

description: Additional file 7: Table S5. Top 100 most up- and downregulated genes from 4-month old testes (FDR &lt; 0.05 and Benjamini-Hochberg p-adj &lt; 0.05), ranked by Fold Change and used to create the heatmap in Fig. 8.
DOI: 10.6084/m9.figshare.21321452
title: Additional file 1 of NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

description: Additional file 1.
DOI: 10.6084/m9.figshare.21321452.v1
title: Additional file 1 of NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

description: Additional file 1.
DOI: 10.6084/m9.figshare.21321467
title: Additional file 6 of NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

description: Additional file 6.
DOI: 10.6084/m9.figshare.21321467.v1
title: Additional file 6 of NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

description: Additional file 6.
DOI: 10.6084/m9.figshare.21321470
title: Additional file 7 of NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

description: Additional file 7.
DOI: 10.6084/m9.figshare.21321470.v1
title: Additional file 7 of NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

description: Additional file 7.
DOI: 10.6084/m9.figshare.21321473
title: Additional file 8 of NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

description: Additional file 8.
DOI: 10.6084/m9.figshare.21321473.v1
title: Additional file 8 of NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

description: Additional file 8.
DOI: 10.3886/e164182v2-129280
title: Social Support and Family Functioning during Adolescence: A Two-Wave Cross-Lagged Study

description: The influence of social and family factors on adolescent mental health has always been attached great importance. The purpose of the present study was to explore the causal relationship between social support and family functioning during adolescence. Students from two middle schools in Fujian province, China, were recruited as participants. Seven hundred and fifty-four participants completed the questionnaire twice in six-month intervals. The results showed that social support and family functioning could predict each other, and social support had a greater influence on family functioning (β = 0.14). The findings of the present study suggested that social and family influences on adolescents should not be separated when dealing with the mental health problems of adolescents, but their interactions should be considered.
DOI: 10.6084/m9.figshare.21321586
title: Additional file 1 of VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes

description: Additional file 1. Supplemental Table 1. Contains NCBI SRA identifiers, BioProject identifiers, the number of paired reads, and the number of prokaryotic, eukaryotic, and viral MAGs.
DOI: 10.6084/m9.figshare.21321586.v1
title: Additional file 1 of VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes

description: Additional file 1. Supplemental Table 1. Contains NCBI SRA identifiers, BioProject identifiers, the number of paired reads, and the number of prokaryotic, eukaryotic, and viral MAGs.
DOI: 10.6084/m9.figshare.21321589
title: Additional file 2 of VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes

description: Additional file 2. Supplemental Table 2. Contains taxonomy source identifier mappings to taxonomic class, order, family, genus, and species for VEBA's microeukaryotic protein database.
DOI: 10.6084/m9.figshare.21321589.v1
title: Additional file 2 of VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes

description: Additional file 2. Supplemental Table 2. Contains taxonomy source identifier mappings to taxonomic class, order, family, genus, and species for VEBA's microeukaryotic protein database.
DOI: 10.6084/m9.figshare.21321592
title: Additional file 3 of VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes

description: Additional file 3. Supplemental Table 3. Contains dataset, domain, assembly statistics, taxonomy, and genome quality for 948 MAGs.
DOI: 10.6084/m9.figshare.21321592.v1
title: Additional file 3 of VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes

description: Additional file 3. Supplemental Table 3. Contains dataset, domain, assembly statistics, taxonomy, and genome quality for 948 MAGs.
DOI: 10.6084/m9.figshare.21321607
title: Additional file 3 of Data-driven identification of plasma metabolite clusters and metabolites of interest for potential detection of early-stage non-small cell lung cancer cases versus cancer-free controls

description: Additional file 3: Supplemental File 1. Table of all metabolites by cluster.
DOI: 10.6084/m9.figshare.21321607.v1
title: Additional file 3 of Data-driven identification of plasma metabolite clusters and metabolites of interest for potential detection of early-stage non-small cell lung cancer cases versus cancer-free controls

description: Additional file 3: Supplemental File 1. Table of all metabolites by cluster.
DOI: 10.6084/m9.figshare.21321638
title: Additional file 1 of The use of bladder voiding efficiency in assessing benign prostatic enlargement

description: Additional file 1. This file contains the patient data for all the patients who were recruited in the study. It includes the independent and dependent variables on which all the study results are based.
DOI: 10.6084/m9.figshare.21321638.v1
title: Additional file 1 of The use of bladder voiding efficiency in assessing benign prostatic enlargement

description: Additional file 1. This file contains the patient data for all the patients who were recruited in the study. It includes the independent and dependent variables on which all the study results are based.
DOI: 10.34740/kaggle/dsv/4320276
title: Ukraine Conflict Twitter Dataset (53.33M tweets)
DOI: 10.5281/zenodo.7023033
title: Data for Magnetosphere-Ionosphere-Thermosphere Coupling Study at Jupiter Based on Juno's First 30 Orbits and Modeling Tools

description: Data used in the code associated to the manuscript "Magnetosphere-Ionosphere-Thermosphere Coupling Study at Jupiter Based on Juno’s First 30 Orbits and Modeling Tools", by Al Saati et al. (2022, Journal of Geophysical Research - Space Physics, https://doi.org/10.1029/2022JA030586). Please read the documentation associated with the corresponding code.
DOI: 10.5281/zenodo.7023034
title: Data for Magnetosphere-Ionosphere-Thermosphere Coupling Study at Jupiter Based on Juno's First 30 Orbits and Modeling Tools

description: Data used in the code associated to the manuscript "Magnetosphere-Ionosphere-Thermosphere Coupling Study at Jupiter Based on Juno’s First 30 Orbits and Modeling Tools", by Al Saati et al. (2022, Journal of Geophysical Research - Space Physics, https://doi.org/10.1029/2022JA030586). Please read the documentation associated with the corresponding code.
DOI: 10.6084/m9.figshare.20579193
title: Sleep gene analysis

description: Intermediate data and relevant scripts to generate the results presented in the manuscript.
DOI: 10.6084/m9.figshare.20579193.v1
title: Sleep gene analysis

description: Intermediate data and relevant scripts to generate the results presented in the manuscript.
DOI: 10.6084/m9.figshare.21321732.v1
title: Raw absorption data

description: Data set
DOI: 10.6084/m9.figshare.21321732
title: Raw absorption data

description: Data set
DOI: 10.6084/m9.figshare.21321732.v3
title: Raw absorption data

description: Data set
DOI: 10.6084/m9.figshare.21321732.v2
title: Raw absorption data

description: Data set
DOI: 10.5281/zenodo.7192458
title: Geographic COVID Subreddit Affiliations

description: Geographic affiliations of explicitly geographically-linked COVID subreddits from Reddit.
DOI: 10.5281/zenodo.7192457
title: Geographic COVID Subreddit Affiliations

description: Geographic affiliations of explicitly geographically-linked COVID subreddits from Reddit.
DOI: 10.6084/m9.figshare.19165280.v7
title: mb.final.repeat-sort-mask.fa

description: mb-genome
DOI: 10.6084/m9.figshare.21322071
title: Status and Determinants of Symptoms of Anxiety and Depression among Food Delivery Drivers in Shanghai, China

description: The psychological status of employees, especially vulnerable populations, has received considerable research attention. However, as a newly emerging and popular occupation in the gig industry, food delivery drivers have received little attention. The majority of these workers are immigrants who are already in a precarious position due to a lack of available jobs, inadequate medical care, poor diets, and communication and acculturation difficulties even before they take these jobs, which involve long working hours and exposure to the elements. (2) Methods: To examine the anxiety and depression symptoms of these workers and possible influencing factors, a cross-sectional study was conducted with a sample of food delivery drivers working for the Meituan Company (one of the largest e-platform companies in China). Anxiety and depression scales were adapted from the GAD-7, and the PHQ-9 was used to assess participants’ related symptoms. Differences were compared in terms of sociodemographic, work situation, and lifestyle variables. Binary logistic regressions were conducted to analyze the effects of various factors on the two psychological dimensions.
DOI: 10.6084/m9.figshare.21322071.v1
title: Status and Determinants of Symptoms of Anxiety and Depression among Food Delivery Drivers in Shanghai, China

description: The psychological status of employees, especially vulnerable populations, has received considerable research attention. However, as a newly emerging and popular occupation in the gig industry, food delivery drivers have received little attention. The majority of these workers are immigrants who are already in a precarious position due to a lack of available jobs, inadequate medical care, poor diets, and communication and acculturation difficulties even before they take these jobs, which involve long working hours and exposure to the elements. (2) Methods: To examine the anxiety and depression symptoms of these workers and possible influencing factors, a cross-sectional study was conducted with a sample of food delivery drivers working for the Meituan Company (one of the largest e-platform companies in China). Anxiety and depression scales were adapted from the GAD-7, and the PHQ-9 was used to assess participants’ related symptoms. Differences were compared in terms of sociodemographic, work situation, and lifestyle variables. Binary logistic regressions were conducted to analyze the effects of various factors on the two psychological dimensions.
DOI: 10.25912/rdf_1665635419048
title: Mass spectrometric characterisation of fatty acid stereoisomers
DOI: 10.14457/nida.the.2018.86
title: การคุ้มครองสิ่งบ่งชี้ทางภูมิศาสตร์ เพื่อการพัฒนาอย่างยั่งยืน:ศึกษาตามความตกลงทริปส์
DOI: 10.14457/nida.the.2014.55
title: การพัฒนาโมเดลทีมที่มีประสิทธิผลจากองค์การที่ได้รับรางวัลคุณภาพแห่งชาติ
DOI: 10.14457/nida.the.2013.32
title: การศึกษาผลกระทบของข้อมูลป้อนกลับที่มีต่อการรับรู้การปรับปรุง ผลการปฏิบัติงานและความพึงพอใจของตัวแทนประกันชีวิต ที่มีประสบการณ์ต่างกัน
DOI: 10.14457/nida.the.2014.56
title: การบริหารทรัพยากรมนุษย์ กรณีศึกษา มหาวิทยาลัยราชภัฏสุราษฎร์ธานี
DOI: 10.14457/nida.the.2010.44
title: บทบาทในการทำงานร่วมกันระหว่างสภาองค์กรชุมชนกับองค์กรปกครองส่วนท้องถิ่น
DOI: 10.14457/nida.the.2015.83
title: ความรู้และปัจจัยที่ส่งผลต่อพฤติกรรมการบริโภคเครื่องสำอางทั่วไปของสมุนไพร
DOI: 10.14457/nida.the.2015.84
title: ความสำเร็จในการปฏิบัติหน้าที่สืบสวนจับกุมของเจ้าหน้าที่ตำรวจ สังกัดกองกำกับการสืบสวน สถานีตำรวจภูธรจังหวัดพัทลุง
DOI: 10.14457/nida.the.2015.85
title: สถานะองค์ความรู้งานวิจัยด้านเครือข่ายในระดับอุดมศึกษาไทย
DOI: 10.14457/nida.the.2012.2
title: การศึกษาการกำหนดนโยบายและการนำนโยบายกองทุนพัฒนาบทบาทสตรีไปปฏิบัติ : กรณีศึกษาอำเภอศรีประจันต์ จังหวัดสุพรรณบุรี
DOI: 10.14457/nida.the.2014.57
title: การสำรวจความคิดเห็นเกี่ยวกับการวางแผนทรัพยากรบุคคล : กรณีศึกษา บุคลากรสายสนับสนุนในระดับปฏิบัติการ สถาบันบัณฑิตพัฒนบริหารศาสตร์
DOI: 10.14457/nida.the.2013.33
title: ความสำเร็จในการนำนวัตกรรมมาใช้ในองค์การภาครัฐ : กรณีศึกษาการให้บริการรับชำระภาษี กรมการขนส่งทางบก
DOI: 10.14457/nida.the.2014.58
title: การเตรียมความพร้อมในการก้าวเข้าสู่ประชาคมอาเซียน : กรณีศึกษา มหาวิทยาลัยราชภัฏจันทรเกษม
DOI: 10.14457/nida.the.2014.59
title: กองทุนสำรองเลี้ยงชีพของมหาวิทยาลัย : ประสิทธิภาพในการบริหารจัดการและการตัดสินใจออมเงินผ่านกองทุนสำรองเลี้ยงชีพ
DOI: 10.14457/nida.the.2014.60
title: ความสัมพันธ์ระหว่างวัฒนธรรมองค์การ ลักษณะความเป็นผู้นำความสามารถทางเทคโนโลยีสารสนเทศและการสื่อสารและประสิทธิภาพองค์การ
DOI: 10.14457/nida.the.2014.61
title: ขั้นตอนวิธีเชิงพันธุกรรมที่มีวิวัฒนาการทำงานร่วมกันเพื่อสร้างกลยุทธ์การซื้อขายหลักทรัพย์
DOI: 10.14457/nida.the.2017.65
title: ประสิทธิภาพการระดมทุนขององค์กรไม่แสวงหาผลกำไร กรณีองค์กรศาสนาในประเทศไทย
DOI: 10.6084/m9.figshare.19165280.v8
title: Genome assembly of Musa beccarii

description: <strong>Genome assembly of</strong><em><strong> Musa beccarii</strong></em>
DOI: 10.6084/m9.figshare.21322401.v1
title: Kriging model for geographical flow interpolation

description: This dataset contains the code and data used in the case study mentioned in the paper "Kriging model for geographical flow interpolation".
DOI: 10.6084/m9.figshare.21322401.v2
title: Kriging model for geographical flow interpolation

description: This dataset contains the code and data used in the case study mentioned in the paper "Kriging model for geographical flow interpolation".
DOI: 10.5281/zenodo.7192554
title: Processed data for FOXA2 analysis in TCGA KIRP and KIRC patients

description: <pre># Data and code to test whether FOXA2 is changed in KIRP patients with low FH ## Code https://github.com/ArianeMora/foxa2_kirp_kirc ## Datasets RNA count data were downloaded from TCGA (https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) using scidat (https://github.com/ArianeMora/scidat) for patients with kidney cancers (rna_df.csv). ## Processing The kidney cancer patient count data were split into KIRC and KIRP, and only the tumour data was used for this analysis, see notebook FOXA2.ipynb in the code folder. Samples were split by their expression of FH in their tumour samples, with several annotations used to separate patients for completeness: 1. Low-High: Comparing the bottom 25% (&lt; Q1) of patients by FH vs “high” FH (i.e. top 25%, &gt; Q3): p.adj 0.00004 2. Low-Normal: Comparing the bottom 25% of patients by FH to the patients with “normal” range FH (between Q1 and Q3): p.adj 0.053 3. Outlier-High: Comparing outlier FH to “high” (i.e. top 25%): p.adj 0.067 4. Outlier-Normal: Comparing the outlier FH (Q1 – 1.5*IQR) to all “normal” FH patients: p.adj 0.169 We did the same for KIRC patients – we don’t see FOXA2 as expected 1. Comparing the bottom 25% of patients by FH vs the top 25% of patients with FH: 0.14 2. Comparing the bottom 25% of patients by FH to the patients with “normal” range FH: 0.25 3. Comparing the outlier FH to all “normal” FH patients: 0.31 4. Comparing outlier FH to “high” (i.e. top 25%): 0.32 Each of these groups were used to also perform DE analysis between the two groups, see respective RMD files in code for details. ### References If you use this work please cite TCGA: ``` Creighton, C. J., Morgan, M., Gunaratne, P. H., Wheeler, D. A., Gibbs, R. A., Gordon Robertson, A., Chu, A., Beroukhim, R., Cibulskis, K., Signoretti, S., Vandin Hsin-Ta Wu, F., Raphael, B. J., Verhaak, R. G. W., Tamboli, P., Torres-Garcia, W., Akbani, R., Weinstein, J. N., Reuter, V., Hsieh, J. J., … University of North Carolina at Chapel Hill. (2013). Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature, 499(7456), Article 7456. https://doi.org/10.1038/nature12222 ``` </pre>
DOI: 10.5281/zenodo.7192553
title: Processed data for FOXA2 analysis in TCGA KIRP and KIRC patients

description: <pre># Data and code to test whether FOXA2 is changed in KIRP patients with low FH ## Code https://github.com/ArianeMora/foxa2_kirp_kirc ## Datasets RNA count data were downloaded from TCGA (https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) using scidat (https://github.com/ArianeMora/scidat) for patients with kidney cancers (rna_df.csv). ## Processing The kidney cancer patient count data were split into KIRC and KIRP, and only the tumour data was used for this analysis, see notebook FOXA2.ipynb in the code folder. Samples were split by their expression of FH in their tumour samples, with several annotations used to separate patients for completeness: 1. Low-High: Comparing the bottom 25% (&lt; Q1) of patients by FH vs “high” FH (i.e. top 25%, &gt; Q3): p.adj 0.00004 2. Low-Normal: Comparing the bottom 25% of patients by FH to the patients with “normal” range FH (between Q1 and Q3): p.adj 0.053 3. Outlier-High: Comparing outlier FH to “high” (i.e. top 25%): p.adj 0.067 4. Outlier-Normal: Comparing the outlier FH (Q1 – 1.5*IQR) to all “normal” FH patients: p.adj 0.169 We did the same for KIRC patients – we don’t see FOXA2 as expected 1. Comparing the bottom 25% of patients by FH vs the top 25% of patients with FH: 0.14 2. Comparing the bottom 25% of patients by FH to the patients with “normal” range FH: 0.25 3. Comparing the outlier FH to all “normal” FH patients: 0.31 4. Comparing outlier FH to “high” (i.e. top 25%): 0.32 Each of these groups were used to also perform DE analysis between the two groups, see respective RMD files in code for details. ### References If you use this work please cite TCGA: ``` Creighton, C. J., Morgan, M., Gunaratne, P. H., Wheeler, D. A., Gibbs, R. A., Gordon Robertson, A., Chu, A., Beroukhim, R., Cibulskis, K., Signoretti, S., Vandin Hsin-Ta Wu, F., Raphael, B. J., Verhaak, R. G. W., Tamboli, P., Torres-Garcia, W., Akbani, R., Weinstein, J. N., Reuter, V., Hsieh, J. J., … University of North Carolina at Chapel Hill. (2013). Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature, 499(7456), Article 7456. https://doi.org/10.1038/nature12222 ``` </pre>
DOI: 10.20372/aau_rdr/bsqwm4/4ezvg9
title: Soyome Alemayehu Compiled Prescribed Research Data.docx

description: :unav
DOI: 10.20372/aau_rdr/bsqwm4
title: Factors Affecting Women’s Participation in the Leadership of Irrigation Water Users Association: The Case of Wolmera Woreda, Oromia Region, Ethiopia

description: Raw data for MA thesis on Factors Affecting Women’s Participation in the Leadership of Irrigation Water Users Association
DOI: 10.6084/m9.figshare.21103123.v1
title: Table 2_Supplementary Material_Study characteristics_v1.docx

description: This table consists of the complete analysis of the 109 references included in the integrative review of the literature
DOI: 10.6084/m9.figshare.21103123.v2
title: Supplementary Material_v1.docx

description: This table consists of the complete analysis of the 109 references included in the integrative review of the literature
DOI: 10.6084/m9.figshare.21321264
title: SSR.rar

description: mcrosatellites data of daphnia galeata in tropical and subtropical reservoir
DOI: 10.6084/m9.figshare.21321264.v1
title: SSR.rar

description: mcrosatellites data of daphnia galeata in tropical and subtropical reservoir
DOI: 10.6084/m9.figshare.21323559
title: raw data.xlsx

description: Raw data of the manuscript
DOI: 10.6084/m9.figshare.21323862
title: Open Source Software Project Health - A Maintainer’s Perspective - Supplementary material

description: Visual assurance case and questionnaire used in study.
DOI: 10.6084/m9.figshare.21323862.v1
title: Open Source Software Project Health - A Maintainer’s Perspective - Supplementary material

description: Visual assurance case and questionnaire used in study.
DOI: 10.5519/qd.mtw8jb7c
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (679033 records)
DOI: 10.34683/sr2374
title: StoneRounds Case: SR2374
title: Best Disease

description: StoneRounds Case SR2374 was diagnosed with Best Disease likely caused by mutations in the gene: BEST1.
DOI: 10.6084/m9.figshare.13650460
title: Mammalian BCAS3 and C16orf70 associate with the phagophore assembly site in response to selective and non-selective autophagy

description: Macroautophagy/autophagy is an intracellular degradation process that delivers cytosolic materials and/or damaged organelles to lysosomes. <i>De novo</i> synthesis of the autophagosome membrane occurs within a phosphatidylinositol-3-phosphate-rich region of the endoplasmic reticulum, and subsequent expansion is critical for cargo encapsulation. This process is complex, especially in mammals, with many regulatory factors. In this study, by utilizing PRKN (parkin RBR E3 ubiquitin protein ligase)-mediated mitochondria autophagy (mitophagy)-inducing conditions in conjunction with chemical crosslinking and mass spectrometry, we identified human BCAS3 (BCAS3 microtubule associated cell migration factor) and C16orf70 (chromosome 16 open reading frame 70) as novel proteins that associate with the autophagosome formation site during both non-selective and selective autophagy. We demonstrate that BCAS3 and C16orf70 form a complex and that their association with the phagophore assembly site requires both proteins. <i>In silico</i> structural modeling, mutational analyses in cells and <i>in vitro</i> phosphoinositide-binding assays indicate that the WD40 repeat domain in human BCAS3 directly binds phosphatidylinositol-3-phosphate. Furthermore, overexpression of the BCAS3-C16orf70 complex affects the recruitment of several core autophagy proteins to the phagophore assembly site. This study demonstrates regulatory roles for human BCAS3 and C16orf70 in autophagic activity. <b>Abbreviations:</b> AO: antimycin A and oligomycin; Ash: assembly helper; ATG: autophagy-related; BCAS3: BCAS3 microtubule associated cell migration factor; C16orf70: chromosome 16 open reading frame 70; DAPI: 4‘,6-diamidino-2-phenylindole; DKO: double knockout; DMSO: dimethyl sulfoxide; ER: endoplasmic reticulum; fluoppi: fluorescent-based technology detecting protein-protein interactions; FIS1: fission, mitochondrial 1; FKBP: FKBP prolyl isomerase family member 1C; FRB: FKBP-rapamycin binding; hAG: humanized azami-green; IP: immunoprecipitation; IRES: internal ribosome entry site; KO: knockout; MAP1LC3B/LC3B: microtubule associated protein 1 light chain 3 beta; MFN2: mitofusin 2; MS: mass spectrometry; MT-CO2: mitochondrially encoded cytochrome c oxidase II; mtDNA: mitochondrial DNA; OPTN: optineurin; PFA: paraformaldehyde; PE: phosphatidylethanolamine; PtdIns3K: phosphatidylinositol 3-kinase; PtdIns3P: phosphatidylinositol-3-phosphate; PtdIns(3,5)P<sub>2</sub>: phosphatidylinositol-3,5-bisphosphate; PINK1: PTEN induced kinase 1; PRKN/Parkin: parkin RBR E3 ubiquitin protein ligase; PROPPIN: β-propellers that bind polyphosphoinositides; RB1CC1/FIP200: RB1 inducible coiled-coil 1; TOMM20: translocase of outer mitochondrial membrane 20; ULK1: unc-51 like autophagy activating kinase 1; WDR45B/WIPI3: WD repeat domain 45B; WDR45/WIPI4: WD repeat domain 45; WIPI: WD repeat domain, phosphoinositide interacting; WT: wild type; ZFYVE1/DFCP1: zinc finger FYVE-type containing 1