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A transcription network underlies the dual genomic coordination of mitochondrial biogenesis
Open accessPublished version of a preprint
Abstract
Mitochondrial biogenesis requires the expression of genes encoded by both the nuclear and mitochondrial genomes. However, aside from a handful transcription factors regulating specific subsets of mitochondrial genes, the overall architecture of the transcriptional control of mitochondrial biogenesis remains to be elucidated. The mechanisms coordinating these two genomes are largely unknown. We performed a targeted RNAi screen in developing eyes with reduced mitochondrial DNA content, anticipating a synergistic disruption of tissue development due to impaired mitochondrial biogenesis and mitochondrial DNA (mtDNA) deficiency. Among 638 transcription factors annotated in the Drosophila genome, 77 were identified as potential regulators of mitochondrial biogenesis. Utilizing published ChIP-seq data of positive hits, we constructed a regulatory network revealing the logic of the transcription regulation of mitochondrial biogenesis. Multiple transcription factors in core layers had extensive connections, collectively governing the expression of nearly all mitochondrial genes, whereas factors sitting on the top layer may respond to cellular cues to modulate mitochondrial biogenesis through the underlying network. CG1603, a core component of the network, was found to be indispensable for the expression of most nuclear mitochondrial genes, including those required for mtDNA maintenance and gene expression, thus coordinating nuclear genome and mtDNA activities in mitochondrial biogenesis. Additional genetic analyses validated YL-1, a transcription factor upstream of CG1603 in the network, as a regulator controlling CG1603 expression and mitochondrial biogenesis.
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![Figure 4. CG1603 gene model, product, mutant and the genomic DNA transgene. (A) Schematic representation of CG1603 genomic locus, showing the CG1603 transcript (5’ and 3’UTR in black bar and four exons in white), its protein product (586 amino acids in length, and characterized by seven C2H2-ZF and two MADF domains), the CG1603PBac mutant allele (with a piggyBac insertion in the second intron, which is marked by fluorescent DsRed driven by an eye-specific 3xP3 promoter and flanked by stop codons in all three reading frames terminating translation through downstream), and the genomic region (in square brackets, from 955 bp upstream of the CG1603 5’UTR to 656 bp downstream of CG1603 3’UTR) used for P[CG1603gDNA] transgene. (B) Predicted 3D structure of the CG1603 protein by AlphaFold. Labels indicate the N-and C-terminus, as well as the specific protein domains along with their predicted isoelectric point (pI). (C) Images of CG1603PBac / CyO, Act-GFP and homozygous CG1603PBac larvae cultured together at 25°C, day 4 after egg laying. Green: GFP; Red: DsRed. Scale bars: 1 mm. (D) Relative mtDNA levels in CG1603PBac mutant larvae to wild type (wt) control. n= 3, error bar: SD. ***: p<0.001. (E) Western blots of mitochondrial proteins in CG1603PBac mutant larvae to wild type (wt) control. (F) P[CG1603gDNA] restored viability of CG1603PBacflies. The number of progenies for each genotype is listed.](/paper-figures/a6a38ae589eb4e28a931fc44e5bac0ec/a-transcription-network-underlies-the-dual-genomic-coordination-of-mitochondrial-figure-4.jpg)




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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Mitochondrial transcription factors B1 and B2 activate transcription of human mtDNA
Falkenberg, M., Gaspari, M., Rantanen, A., Trifunovic, A., Larsson, N.-G., & Gustafsson, C. M. (2002) · Nature Genetics · doi:10.1038/ng909 · Cited by 598
Research works printed but not linked: 116
- Acosta-Alvear, 2007, XBP1 controls diverse cell type- and condition-specific transcriptional regulatory networks, Molecular Cell, 27, 53, 10.1016/j.molcel.2007.06.011 · DOI
- Alam, 2003, Human mitochondrial DNA is packaged with TFAM, Nucleic Acids Research, 31, 1640, 10.1093/nar/gkg251 · DOI
- Angelini, 2014, Understanding gene regulatory mechanisms by integrating ChIP-seq and RNA-seq data: statistical solutions to biological problems, Frontiers in Cell and Developmental Biology, 2, 10.3389/fcell.2014.00051 · DOI
- Berger, 2002, The mechanisms of action of PPARs, Annual Review of Medicine, 53, 409, 10.1146/annurev.med.53.082901.104018 · DOI · Paper page
- Boyer, 2004, The SANT domain: a unique histone-tail-binding module?, Nature Reviews. Molecular Cell Biology, 5, 158, 10.1038/nrm1314 · DOI
- Chen, 2015, Genetic mosaic analysis of a deleterious mitochondrial DNA mutation in Drosophila reveals novel aspects of mitochondrial regulation and function, Molecular Biology of the Cell, 26, 674, 10.1091/mbc.E14-11-1513 · DOI
- Chen, 2019, Human mitochondrial DNA diseases and Drosophila models, Journal of Genetics and Genomics = Yi Chuan Xue Bao, 46, 201, 10.1016/j.jgg.2019.03.009 · DOI
- Chen, 2020, Mitochondrial DNA segregation and replication restrict the transmission of detrimental mutation, The Journal of Cell Biology, 219, 10.1083/jcb.201905160 · DOI
- Couvillion, 2016, Synchronized mitochondrial and cytosolic translation programs, Nature, 533, 499, 10.1038/nature18015 · DOI
- Deblois, 2011, Functional and physiological genomics of estrogen-related receptors (ERRs) in health and disease, Biochimica et Biophysica Acta, 1812, 1032, 10.1016/j.bbadis.2010.12.009 · DOI
- Dobin, 2013, STAR: ultrafast universal RNA-seq aligner, Bioinformatics, 29, 15, 10.1093/bioinformatics/bts635 · DOI · Paper page
- Eisen, 1998, Cluster analysis and display of genome-wide expression patterns, PNAS, 95, 14863, 10.1073/pnas.95.25.14863 · DOI · Paper page
- Fedotova, 2017, C2H2 zinc finger proteins: the largest but poorly explored family of higher eukaryotic transcription factors, Acta Naturae, 9, 47, 10.32607/20758251-2017-9-2-47-58 · DOI
- Fernández-Vizarra, 2011, Tissue-specific differences in mitochondrial activity and biogenesis, Mitochondrion, 11, 207, 10.1016/j.mito.2010.09.011 · DOI
- Finck, 2007, Peroxisome proliferator-activated receptor gamma coactivator-1 (PGC-1) regulatory cascade in cardiac physiology and disease, Circulation, 115, 2540, 10.1161/CIRCULATIONAHA.107.670588 · DOI
- Gorman, 2016, Mitochondrial diseases, Nature Reviews. Disease Primers, 2, 10.1038/nrdp.2016.80 · DOI
- Hill, 2014, Selective propagation of functional mitochondrial DNA during oogenesis restricts the transmission of a deleterious mitochondrial variant, Nature Genetics, 46, 389, 10.1038/ng.2920 · DOI
- Hock, 2009, Transcriptional control of mitochondrial biogenesis and function, Annual Review of Physiology, 71, 177, 10.1146/annurev.physiol.010908.163119 · DOI
- Jiang, 2018, Integrating ChIP-seq with other functional genomics data, Briefings in Functional Genomics, 17, 104, 10.1093/bfgp/ely002 · DOI
- Jothi, 2009, Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture, Molecular Systems Biology, 5, 10.1038/msb.2009.52 · DOI
- Kudron, 2018, The ModERN Resource: Genome-wide binding profiles for hundreds of Drosophila and Caenorhabditis elegans transcription factors, Genetics, 208, 937, 10.1534/genetics.117.300657 · DOI
- Kurland, 2000, Origin and evolution of the mitochondrial proteome, Microbiology and Molecular Biology Reviews, 64, 786, 10.1128/MMBR.64.4.786-820.2000 · DOI
- Laws, 2015, Genetic mosaic analysis of stem cell lineages in the Drosophila Ovary, Methods in Molecular Biology, 1328, 57, 10.1007/978-1-4939-2851-4_4 · DOI
- Li, 2009, Fast and accurate short read alignment with Burrows-Wheeler transform, Bioinformatics, 25, 1754, 10.1093/bioinformatics/btp324 · DOI · Paper page
- Li, 2009, The sequence alignment/map format and samtools, Bioinformatics, 25, 2078, 10.1093/bioinformatics/btp352 · DOI · Paper page
- Liang, 2016, Structural basis of H2A.Z recognition by SRCAP chromatin-remodeling subunit YL1, Nature Structural & Molecular Biology, 23, 317, 10.1038/nsmb.3190 · DOI
- Liao, 2006, An efficient genetic screen in Drosophila to identify nuclear-encoded genes with mitochondrial function, Genetics, 174, 525, 10.1534/genetics.106.061705 · DOI
- Liu, 2022, The PPR domain of mitochondrial RNA polymerase is an exoribonuclease required for mtDNA replication in Drosophila melanogaster, Nature Cell Biology, 24, 757, 10.1038/s41556-022-00887-y · DOI
- Love, 2014, Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2, Genome Biology, 15, 10.1186/s13059-014-0550-8 · DOI · Paper page
- Lowden, 2021, Homeostatic control of nuclear-encoded mitochondrial gene expression by the histone variant H2A.Z is essential for neuronal survival, Cell Reports, 36, 10.1016/j.celrep.2021.109704 · DOI
- Maheshwari, 2008, Recurrent positive selection of the Drosophila hybrid incompatibility gene Hmr, Molecular Biology and Evolution, 25, 2421, 10.1093/molbev/msn190 · DOI
- Mandal, 2005, Mitochondrial regulation of cell cycle progression during development as revealed by the tenured mutation in Drosophila, Developmental Cell, 9, 843, 10.1016/j.devcel.2005.11.006 · DOI
- mforde84. 2016. ENCODE_TF_ChIP_pipeline. Software Heritage. swh:1:rev:e2c7dc403d6d44a8eb667c20b9bf45e091d27134. https://archive.softwareheritage.org/swh:1:dir:5639bfed7102cc98642baf0f340782b309fcb56d;origin=https://github.com/mforde84/ENCODE_TF_ChIP_pipeline;visit=swh:1:snp:df73736416d2b812d0676475f5f6436bedad3f3d;anchor=swh:1:rev:e2c7dc403d6d44a8eb667c20b9bf45e091d27134.
- Owusu-Ansah, 2008, Distinct mitochondrial retrograde signals control the G1-S cell cycle checkpoint, Nature Genetics, 40, 356, 10.1038/ng.2007.50 · DOI
- Park, 2009, ChIP-seq: advantages and challenges of a maturing technology, Nature Reviews. Genetics, 10, 669, 10.1038/nrg2641 · DOI · Paper page
- Perez-Torrado, 2006, Born to bind: the BTB protein-protein interaction domain, BioEssays, 28, 1194, 10.1002/bies.20500 · DOI
- Persikov, 2015, A systematic survey of the Cys2His2 zinc finger DNA-binding landscape, Nucleic Acids Research, 43, 1965, 10.1093/nar/gku1395 · DOI
- Prober, 2000, Ras1 promotes cellular growth in the Drosophila wing, Cell, 100, 435, 10.1016/s0092-8674(00)80679-0 · DOI
- Putri, 2022, Analysing high-throughput sequencing data in Python with HTSeq 2.0, Bioinformatics, 38, 2943, 10.1093/bioinformatics/btac166 · DOI
- Rath, 2021, MitoCarta3.0: an updated mitochondrial proteome now with sub-organelle localization and pathway annotations, Nucleic Acids Research, 49, D1541, 10.1093/nar/gkaa1011 · DOI · Paper page
- Rouyer, 1997, A new gene encoding A putative transcription factor regulated by the Drosophila circadian clock, The EMBO Journal, 16, 3944, 10.1093/emboj/16.13.3944 · DOI
- Scarpulla, 2008, Transcriptional paradigms in mammalian mitochondrial biogenesis and function, Physiological Reviews, 88, 611, 10.1152/physrev.00025.2007 · DOI · Paper page
- Scarpulla, 2012, Transcriptional integration of mitochondrial biogenesis, Trends in Endocrinology and Metabolism, 23, 459, 10.1016/j.tem.2012.06.006 · DOI · Paper page
- Schuldiner, 2008, piggyBac-based mosaic screen identifies a postmitotic function for cohesin in regulating developmental axon pruning, Developmental Cell, 14, 227, 10.1016/j.devcel.2007.11.001 · DOI
- Schultz, 2000, SMART: a web-based tool for the study of genetically mobile domains, Nucleic Acids Research, 28, 231, 10.1093/nar/28.1.231 · DOI
- Shen, 2022, Mitochondria as cellular and organismal signaling hubs, Annual Review of Cell and Developmental Biology, 38, 179, 10.1146/annurev-cellbio-120420-015303 · DOI
- Sobocińska, 2021, KRAB-ZFP transcriptional regulators acting as oncogenes and tumor suppressors: an overview, International Journal of Molecular Sciences, 22, 10.3390/ijms22042212 · DOI
- Spinelli, 2018, The multifaceted contributions of mitochondria to cellular metabolism, Nature Cell Biology, 20, 745, 10.1038/s41556-018-0124-1 · DOI · Paper page
- Taylor, 2005, Mitochondrial DNA mutations in human disease, Nature Reviews. Genetics, 6, 389, 10.1038/nrg1606 · DOI
- Thomas-Chollier, 2012, A complete workflow for the analysis of full-size ChIP-seq (and similar) data sets using peak-motifs, Nature Protocols, 7, 1551, 10.1038/nprot.2012.088 · DOI
- Verheul, 2020, The Why of YY1: Mechanisms of transcriptional regulation by yin yang 1, Frontiers in Cell and Developmental Biology, 8, 10.3389/fcell.2020.592164 · DOI
- Wang, 2019, Electron transport chain biogenesis activated by a JNK-insulin-Myc relay primes mitochondrial inheritance in Drosophila, eLife, 8, 10.7554/eLife.49309 · DOI
- Wang, 2023, Mechanical stimulation from the surrounding tissue activates mitochondrial energy metabolism in Drosophila differentiating germ cells, Developmental Cell, 58, 2249, 10.1016/j.devcel.2023.08.007 · DOI
- Wiedemann, 2017, Mitochondrial machineries for protein import and assembly, Annual Review of Biochemistry, 86, 685, 10.1146/annurev-biochem-060815-014352 · DOI
- Wolfe, 2000, DNA recognition by Cys2His2 zinc finger proteins, Annual Review of Biophysics and Biomolecular Structure, 29, 183, 10.1146/annurev.biophys.29.1.183 · DOI · Paper page
- Wysocka, 2006, A PHD finger of NURF couples histone H3 lysine 4 trimethylation with chromatin remodelling, Nature, 442, 86, 10.1038/nature04815 · DOI
- Xu, 2008, Manipulating the metazoan mitochondrial genome with targeted restriction enzymes, Science, 321, 575, 10.1126/science.1160226 · DOI
- Xu, 2021, The SRCAP chromatin remodeling complex promotes oxidative metabolism during prenatal heart development, Development, 148, 10.1242/dev.199026 · DOI
- Yu, 2012, clusterProfiler: an R package for comparing biological themes among gene clusters, OMICS, 16, 284, 10.1089/omi.2011.0118 · DOI · Paper page
- Yu, 2015, ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization, Bioinformatics, 31, 2382, 10.1093/bioinformatics/btv145 · DOI
- Zhang, 2008, Model-based analysis of chip-seq (MACS), Genome Biology, 9, 10.1186/gb-2008-9-9-r137 · DOI · Paper page
- Zhang, 2015, The cAMP phosphodiesterase Prune localizes to the mitochondrial matrix and promotes mtDNA replication by stabilizing TFAM, EMBO Reports, 16, 520, 10.15252/embr.201439636 · DOI
- Zhang, 2016, The mitochondrial outer membrane protein MDI promotes local protein synthesis and mtDNA replication, The EMBO Journal, 35, 1045, 10.15252/embj.201592994 · DOI
- Zhang, 2019, PINK1 inhibits local protein synthesis to limit transmission of deleterious mitochondrial DNA mutations, Molecular Cell, 73, 1127, 10.1016/j.molcel.2019.01.013 · DOI
- Zhang, 2020, Mitochondria regulate intestinal stem cell proliferation and epithelial homeostasis through FOXO, Molecular Biology of the Cell, 31, 1538, 10.1091/mbc.E19-10-0560 · DOI
- Zhou, 2016, Computational prediction of the global functional genomic landscape: applications, methods, and challenges, Human Heredity, 81, 88, 10.1159/000450827 · DOI
- Zhang F, Xu H. 2024. CG1603 regulation of nuclear-encoded mitochondrial gene expression. NCBI Gene Expression Omnibus. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE282638. GSE282638.
- modENCODEProject. 2016. TF ChIP-seq_ab. ENCODE. https://www.encodeproject.org/experiments/ENCSR140RMO. ENCSR140RMO.
- modENCODEProject. 2019. TF ChIP-seq_abd-A. ENCODE. https://www.encodeproject.org/experiments/ENCSR609JDR. ENCSR609JDR.
- modENCODEProject. 2016. TF ChIP-seq_achi. ENCODE. https://www.encodeproject.org/experiments/ENCSR959SWC. ENCSR959SWC.
- modENCODEProject. 2016. TF ChIP-seq_bdp1. ENCODE. https://www.encodeproject.org/experiments/ENCSR504AYW. ENCSR504AYW.
- modENCODEProject. 2018. TF ChIP-seq_bigmax. ENCODE. https://www.encodeproject.org/experiments/ENCSR224YOT. ENCSR224YOT.
- modENCODEProject. 2016. TF ChIP-seq_CG10631. ENCODE. https://www.encodeproject.org/experiments/ENCSR751FSX. ENCSR751FSX.
- modENCODEProject. 2016. TF ChIP-seq_CG11398. ENCODE. https://www.encodeproject.org/experiments/ENCSR486MQI. ENCSR486MQI.
- modENCODEProject. 2018. TF ChIP-seq_CG12299. ENCODE. https://www.encodeproject.org/experiments/ENCSR028DHQ. ENCSR028DHQ.
- modENCODEProject. 2018. TF ChIP-seq_CG12391. ENCODE. https://www.encodeproject.org/experiments/ENCSR483VVZ. ENCSR483VVZ.
- modENCODEProject. 2018. TF ChIP-seq_CG15011. ENCODE. https://www.encodeproject.org/experiments/ENCSR608VFH. ENCSR608VFH.
- modENCODEProject. 2019. TF ChIP-seq_CG1603. ENCODE. https://www.encodeproject.org/experiments/ENCSR680NFF. ENCSR680NFF.
- modENCODEProject. 2016. TF ChIP-seq_CG16863. ENCODE. https://www.encodeproject.org/experiments/ENCSR848GYF. ENCSR848GYF.
- modENCODEProject. 2018. TF ChIP-seq_CG17806. ENCODE. https://www.encodeproject.org/experiments/ENCSR118TAH. ENCSR118TAH.
- modENCODEProject. 2019. TF ChIP-seq_CG17829. ENCODE. https://www.encodeproject.org/experiments/ENCSR810MLF. ENCSR810MLF.
- modENCODE. 2018. TF ChIP-seq_CG2116. ENCODE. https://www.encodeproject.org/experiments/ENCSR456UZW. ENCSR456UZW.
- modENCODEProject. 2018. TF ChIP-seq_CG4707. ENCODE. https://www.encodeproject.org/experiments/ENCSR302AQS. ENCSR302AQS.
- modENCODEProject. 2016. TF ChIP-seq_CG4854. ENCODE. https://www.encodeproject.org/experiments/ENCSR860FUA. ENCSR860FUA.
- modENCODEProject. 2017. TF ChIP-seq_CG6254. ENCODE. https://www.encodeproject.org/experiments/ENCSR233UXG. ENCSR233UXG.
- modENCODEProject. 2018. TF ChIP-seq_CG7987. ENCODE. https://www.encodeproject.org/experiments/ENCSR681RZY. ENCSR681RZY.
- modENCODEProject. 2018. TF ChIP-seq_CG9437. ENCODE. https://www.encodeproject.org/experiments/ENCSR965XSS. ENCSR965XSS.
- modENCODEProject. 2017. TF ChIP-seq_CG9727. ENCODE. https://www.encodeproject.org/experiments/ENCSR624PKN. ENCSR624PKN.
- modENCODEProject. 2016. TF ChIP-seq_CHES-1-like. ENCODE. https://www.encodeproject.org/experiments/ENCSR791TWT. ENCSR791TWT.
- modENCODEProject. 2016. TF ChIP-seq_Crg-1. ENCODE. https://www.encodeproject.org/experiments/ENCSR596YNC. ENCSR596YNC.
- modENCODEProject. 2017. TF ChIP-seq_CTCF. ENCODE. https://www.encodeproject.org/experiments/ENCSR661BEZ. ENCSR661BEZ.
- modENCODEProject. 2016. TF ChIP-seq_E(bx). ENCODE. https://www.encodeproject.org/experiments/ENCSR559AJG. ENCSR559AJG.
- modENCODEProject. 2019. TF ChIP-seq_Ets96B. ENCODE. https://www.encodeproject.org/experiments/ENCSR572JUN. ENCSR572JUN.
- modENCODEProject. 2017. TF ChIP-seq_ewg. ENCODE. https://www.encodeproject.org/experiments/ENCSR444JKK. ENCSR444JKK.
- modENCODEProject. 2018. TF ChIP-seq_Fer3. ENCODE. https://www.encodeproject.org/experiments/ENCSR367SBM. ENCSR367SBM.
- modENCODEProject. 2016. TF ChIP-seq_ftz-f1. ENCODE. https://www.encodeproject.org/experiments/ENCSR741KZZ. ENCSR741KZZ.
- modENCODEProject. 2016. TF ChIP-seq_ind. ENCODE. https://www.encodeproject.org/experiments/ENCSR486EPD. ENCSR486EPD.
- modENCODEProject. 2016. TF ChIP-seq_Jra. ENCODE. https://www.encodeproject.org/experiments/ENCSR471GSA. ENCSR471GSA.
- modENCODEProject. 2017. TF ChIP-seq_Lhr. ENCODE. https://www.encodeproject.org/experiments/ENCSR272DEA. ENCSR272DEA.
- modENCODEProject. 2016. TF ChIP-seq_luna. ENCODE. https://www.encodeproject.org/experiments/ENCSR770AUN. ENCSR770AUN.
- modENCODEProject. 2016. TF ChIP-seq_Met. ENCODE. https://www.encodeproject.org/experiments/ENCSR363SHZ. ENCSR363SHZ.
- modENCODEProject. 2016. TF ChIP-seq_Myb. ENCODE. https://www.encodeproject.org/experiments/ENCSR393AKW. ENCSR393AKW.
- modENCODEProject. 2017. TF ChIP-seq_Myc. ENCODE. https://www.encodeproject.org/experiments/ENCSR191VCQ. ENCSR191VCQ.
- modENCODEProject. 2019. TF ChIP-seq_nerfin-1. ENCODE. https://www.encodeproject.org/experiments/ENCSR335NNR. ENCSR335NNR.
- modENCODEProject. 2018. TF ChIP-seq_Nnk. ENCODE. https://www.encodeproject.org/experiments/ENCSR165KWP. ENCSR165KWP.
- modENCODEProject. 2016. TF ChIP-seq_p53. ENCODE. https://www.encodeproject.org/experiments/ENCSR808XNJ. ENCSR808XNJ.
- modENCODEProject. 2017. TF ChIP-seq_pan. ENCODE. https://www.encodeproject.org/experiments/ENCSR033IIP. ENCSR033IIP.
- modENCODEProject. 2019. TF ChIP-seq_pros. ENCODE. https://www.encodeproject.org/experiments/ENCSR682YQM. ENCSR682YQM.
- modENCODEProject. 2017. TF ChIP-seq_REPTOR-BP. ENCODE. https://www.encodeproject.org/experiments/ENCSR271ZJI. ENCSR271ZJI.
- modENCODEProject. 2016. TF ChIP-seq_salr. ENCODE. https://www.encodeproject.org/experiments/ENCSR042XCV. ENCSR042XCV.
- modENCODEProject. 2019. TF ChIP-seq_Stat92E. ENCODE. https://www.encodeproject.org/experiments/ENCSR290OJD. ENCSR290OJD.
- modENCODEProject. 2017. TF ChIP-seq_su(Hw). ENCODE. https://www.encodeproject.org/experiments/ENCSR761TCG. ENCSR761TCG.
- modENCODEProject. 2019. TF ChIP-seq_trem. ENCODE. https://www.encodeproject.org/experiments/ENCSR104XOO. ENCSR104XOO.
- modENCODEProject. 2016. TF ChIP-seq_Trl. ENCODE. https://www.encodeproject.org/experiments/ENCSR629WQT. ENCSR629WQT.
- modENCODEProject. 2016. TF ChIP-seq_Xbp1. ENCODE. https://www.encodeproject.org/experiments/ENCSR698IEF. ENCSR698IEF.
- modENCODEProject. 2017. TF ChIP-seq_YL-1. ENCODE. https://www.encodeproject.org/experiments/ENCSR396LMJ. ENCSR396LMJ.
Metadata
- Authors
- Zhang, F., Lee, A., Freitas, A. V., Herb, J. T., Wang, Z.-H., Gupta, S., Chen, Z., & Xu, H.
- Affiliations
- National Institutes of Health (US)
- National Heart, Lung, and Blood Institute, National Institutes of Health
- Corresponding author
- Xu, Hong
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2024-12-27
- Volume
- 13
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC10896348
- OpenAlex
- W4405830359
- Cited by
- 8
- References
- 2
- Citations by year
- 2026: 3 · 2025: 5
- FWCI
- 1.09
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Funders
- National Heart, Lung, and Blood Institute
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Autophagy in Disease and Therapy
- Keywords
- mitochondrial biogenesis, transcriptional regulation, transcriptional regulatory networks, mitochondrial DNA maintenance, Drosophila eye development, RNAi screen, transcription factors
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