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Artículos de revistas sobre el tema "Transcription factors"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 29 de marzo de 2025

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1

Wilson, Nicola K., Fernando J. Calero-Nieto, Rita Ferreira y Berthold Göttgens. "Transcriptional regulation of haematopoietic transcription factors". Stem Cell Research & Therapy 2, n.º 1 (2011): 6. http://dx.doi.org/10.1186/scrt47.

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2

Geng, Yanbiao, Peter Laslo, Kevin Barton y Chyung-Ru Wang. "Transcriptional Regulation ofCD1D1by Ets Family Transcription Factors". Journal of Immunology 175, n.º 2 (7 de julio de 2005): 1022–29. http://dx.doi.org/10.4049/jimmunol.175.2.1022.

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3

Senecal, Adrien, Brian Munsky, Florence Proux, Nathalie Ly, Floriane E. Braye, Christophe Zimmer, Florian Mueller y Xavier Darzacq. "Transcription Factors Modulate c-Fos Transcriptional Bursts". Cell Reports 8, n.º 1 (julio de 2014): 75–83. http://dx.doi.org/10.1016/j.celrep.2014.05.053.

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4

BARNES, P. J. y I. M. ADCOCK. "Transcription factors". Clinical Experimental Allergy 25, s2 (noviembre de 1995): 46–49. http://dx.doi.org/10.1111/j.1365-2222.1995.tb00421.x.

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5

Hawkins, R. "Transcription Factors". Journal of Medical Genetics 33, n.º 12 (1 de diciembre de 1996): 1054. http://dx.doi.org/10.1136/jmg.33.12.1054-a.

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6

Papavassiliou, Athanasios G. "Transcription Factors". New England Journal of Medicine 332, n.º 1 (5 de enero de 1995): 45–47. http://dx.doi.org/10.1056/nejm199501053320108.

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7

Locker, J. "Transcription Factors". Biomedicine & Pharmacotherapy 52, n.º 1 (enero de 1998): 47. http://dx.doi.org/10.1016/s0753-3322(97)86247-6.

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8

Locker., J. "Transcription Factors". Journal of Steroid Biochemistry and Molecular Biology 64, n.º 5-6 (marzo de 1998): 316. http://dx.doi.org/10.1016/s0960-0760(96)00245-2.

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9

Handel, Malcolm L. y Laila Girgis. "Transcription factors". Best Practice & Research Clinical Rheumatology 15, n.º 5 (diciembre de 2001): 657–75. http://dx.doi.org/10.1053/berh.2001.0186.

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10

Parker, C. S. "Transcription factors". Current Opinion in Cell Biology 1, n.º 3 (junio de 1989): 512–18. http://dx.doi.org/10.1016/0955-0674(89)90013-6.

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11

Zhang, Yuli y Linlin Hou. "Alternate Roles of Sox Transcription Factors beyond Transcription Initiation". International Journal of Molecular Sciences 22, n.º 11 (31 de mayo de 2021): 5949. http://dx.doi.org/10.3390/ijms22115949.

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Sox proteins are known as crucial transcription factors for many developmental processes and for a wide range of common diseases. They were believed to specifically bind and bend DNA with other transcription factors and elicit transcriptional activation or repression activities in the early stage of transcription. However, their functions are not limited to transcription initiation. It has been showed that Sox proteins are involved in the regulation of alternative splicing regulatory networks and translational control. In this review, we discuss the current knowledge on how Sox transcription factors such as Sox2, Sry, Sox6, and Sox9 allow the coordination of co-transcriptional splicing and also the mechanism of SOX4-mediated translational control in the context of RNA polymerase III.

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12

Bloor, Adrian, Ekaterina Kotsopoulou, Penny Hayward, Brian Champion y Anthony Green. "RFP represses transcriptional activation by bHLH transcription factors". Oncogene 24, n.º 45 (27 de junio de 2005): 6729–36. http://dx.doi.org/10.1038/sj.onc.1208828.

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13

Zhang, Lang, Haoyue Yu, Pan Wang, Qingyang Ding y Zhao Wang. "Screening of transcription factors with transcriptional initiation activity". Gene 531, n.º 1 (noviembre de 2013): 64–70. http://dx.doi.org/10.1016/j.gene.2013.07.054.

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14

Thiel, Gerald, Lisbeth A. Guethlein y Oliver G. Rössler. "Insulin-Responsive Transcription Factors". Biomolecules 11, n.º 12 (15 de diciembre de 2021): 1886. http://dx.doi.org/10.3390/biom11121886.

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The hormone insulin executes its function via binding and activating of the insulin receptor, a receptor tyrosine kinase that is mainly expressed in skeletal muscle, adipocytes, liver, pancreatic β-cells, and in some areas of the central nervous system. Stimulation of the insulin receptor activates intracellular signaling cascades involving the enzymes extracellular signal-regulated protein kinase-1/2 (ERK1/2), phosphatidylinositol 3-kinase, protein kinase B/Akt, and phospholipase Cγ as signal transducers. Insulin receptor stimulation is correlated with multiple physiological and biochemical functions, including glucose transport, glucose homeostasis, food intake, proliferation, glycolysis, and lipogenesis. This review article focuses on the activation of gene transcription as a result of insulin receptor stimulation. Signal transducers such as protein kinases or the GLUT4-induced influx of glucose connect insulin receptor stimulation with transcription. We discuss insulin-responsive transcription factors that respond to insulin receptor activation and generate a transcriptional network executing the metabolic functions of insulin. Importantly, insulin receptor stimulation induces transcription of genes encoding essential enzymes of glycolysis and lipogenesis and inhibits genes encoding essential enzymes of gluconeogenesis. Overall, the activation or inhibition of insulin-responsive transcription factors is an essential aspect of orchestrating a wide range of insulin-induced changes in the biochemistry and physiology of insulin-responsive tissues.

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15

Yamada, Yasuyuki y Fumihiko Sato. "Transcription Factors in Alkaloid Engineering". Biomolecules 11, n.º 11 (18 de noviembre de 2021): 1719. http://dx.doi.org/10.3390/biom11111719.

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Plants produce a large variety of low-molecular-weight and specialized secondary compounds. Among them, nitrogen-containing alkaloids are the most biologically active and are often used in the pharmaceutical industry. Although alkaloid chemistry has been intensively investigated, characterization of alkaloid biosynthesis, including biosynthetic enzyme genes and their regulation, especially the transcription factors involved, has been relatively delayed, since only a limited number of plant species produce these specific types of alkaloids in a tissue/cell-specific or developmental-specific manner. Recent advances in molecular biology technologies, such as RNA sequencing, co-expression analysis of transcripts and metabolites, and functional characterization of genes using recombinant technology and cutting-edge technology for metabolite identification, have enabled a more detailed characterization of alkaloid pathways. Thus, transcriptional regulation of alkaloid biosynthesis by transcription factors, such as basic helix–loop–helix (bHLH), APETALA2/ethylene-responsive factor (AP2/ERF), and WRKY, is well elucidated. In addition, jasmonate signaling, an important cue in alkaloid biosynthesis, and its cascade, interaction of transcription factors, and post-transcriptional regulation are also characterized and show cell/tissue-specific or developmental regulation. Furthermore, current sequencing technology provides more information on the genome structure of alkaloid-producing plants with large and complex genomes, for genome-wide characterization. Based on the latest information, we discuss the application of transcription factors in alkaloid engineering.

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16

Bakshi, Madhunita y Ralf Oelmüller. "WRKY transcription factors". Plant Signaling & Behavior 9, n.º 2 (febrero de 2014): e27700. http://dx.doi.org/10.4161/psb.27700.

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17

Massague, J. "Smad transcription factors". Genes & Development 19, n.º 23 (1 de diciembre de 2005): 2783–810. http://dx.doi.org/10.1101/gad.1350705.

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18

Steinke, John y Larry Borish. "Beyond Transcription Factors". Allergy & Clinical Immunology International - Journal of the World Allergy Organization 16, n.º 01 (2004): 20–27. http://dx.doi.org/10.1027/0838-1925.16.1.20.

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19

Engelkamp, Dieter. "Pathological transcription factors". Trends in Genetics 16, n.º 5 (mayo de 2000): 233–34. http://dx.doi.org/10.1016/s0168-9525(99)01963-0.

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20

Yeh, Jennifer E., Patricia A. Toniolo y David A. Frank. "Targeting transcription factors". Current Opinion in Oncology 25, n.º 6 (noviembre de 2013): 652–58. http://dx.doi.org/10.1097/01.cco.0000432528.88101.1a.

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21

Wolffe, A. "Architectural transcription factors". Science 264, n.º 5162 (20 de mayo de 1994): 1100–1101. http://dx.doi.org/10.1126/science.8178167.

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22

Rushton, Paul J., Imre E. Somssich, Patricia Ringler y Qingxi J. Shen. "WRKY transcription factors". Trends in Plant Science 15, n.º 5 (mayo de 2010): 247–58. http://dx.doi.org/10.1016/j.tplants.2010.02.006.

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23

Warren, Alan J. "Eukaryotic transcription factors". Current Opinion in Structural Biology 12, n.º 1 (febrero de 2002): 107–14. http://dx.doi.org/10.1016/s0959-440x(02)00296-8.

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24

Tan, Song y Timothy J. Richmond. "Eukaryotic transcription factors". Current Opinion in Structural Biology 8, n.º 1 (febrero de 1998): 41–48. http://dx.doi.org/10.1016/s0959-440x(98)80008-0.

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25

Reese, Joseph C. "Basal transcription factors". Current Opinion in Genetics & Development 13, n.º 2 (abril de 2003): 114–18. http://dx.doi.org/10.1016/s0959-437x(03)00013-3.

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26

Wolberger, Cynthia. "Combinatorial transcription factors". Current Opinion in Genetics & Development 8, n.º 5 (octubre de 1998): 552–59. http://dx.doi.org/10.1016/s0959-437x(98)80010-5.

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27

Struhl, Kevin. "Yeast transcription factors". Current Opinion in Cell Biology 5, n.º 3 (junio de 1993): 513–20. http://dx.doi.org/10.1016/0955-0674(93)90018-l.

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28

Crunkhorn, Sarah. "Targeting transcription factors". Nature Reviews Drug Discovery 18, n.º 1 (28 de diciembre de 2018): 18. http://dx.doi.org/10.1038/nrd.2018.231.

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29

D'Arcangelo, Gabriel la y Tom Curran. "Smart transcription factors". Nature 376, n.º 6538 (julio de 1995): 292–93. http://dx.doi.org/10.1038/376292a0.

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30

Latchman, D. S. "Eukaryotic transcription factors". Biochemical Journal 270, n.º 2 (1 de septiembre de 1990): 281–89. http://dx.doi.org/10.1042/bj2700281.

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31

Latchman, David S. "Inhibitory transcription factors". International Journal of Biochemistry & Cell Biology 28, n.º 9 (septiembre de 1996): 965–74. http://dx.doi.org/10.1016/1357-2725(96)00039-8.

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32

Carter, Matthew E. y Anne Brunet. "FOXO transcription factors". Current Biology 17, n.º 4 (febrero de 2007): R113—R114. http://dx.doi.org/10.1016/j.cub.2007.01.008.

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33

Polyanovsky, Oleg L. y Alexander G. Stepchenko. "Eukaryotic transcription factors". BioEssays 12, n.º 5 (mayo de 1990): 205–10. http://dx.doi.org/10.1002/bies.950120503.

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34

Chávez, Joselyn, Damien P. Devos y Enrique Merino. "Complementary Tendencies in the Use of Regulatory Elements (Transcription Factors, Sigma Factors, and Riboswitches) in Bacteria and Archaea". Journal of Bacteriology 203, n.º 2 (19 de octubre de 2020): e00413-20. http://dx.doi.org/10.1128/jb.00413-20.

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ABSTRACTIn prokaryotes, the key players in transcription initiation are sigma factors and transcription factors that bind to DNA to modulate the process, while premature transcription termination at the 5′ end of the genes is regulated by attenuation and, in particular, by attenuation associated with riboswitches. In this study, we describe the distribution of these regulators across phylogenetic groups of bacteria and archaea and find that their abundance not only depends on the genome size, as previously described, but also varies according to the phylogeny of the organism. Furthermore, we observed a tendency for organisms to compensate for the low frequencies of a particular type of regulatory element (i.e., transcription factors) with a high frequency of other types of regulatory elements (i.e., sigma factors). This study provides a comprehensive description of the more abundant COG, KEGG, and Rfam families of transcriptional regulators present in prokaryotic genomes.IMPORTANCE In this study, we analyzed the relationship between the relative frequencies of the primary regulatory elements in bacteria and archaea, namely, transcription factors, sigma factors, and riboswitches. In bacteria, we reveal a compensatory behavior for transcription factors and sigma factors, meaning that in phylogenetic groups in which the relative number of transcription factors was low, we found a tendency for the number of sigma factors to be high and vice versa. For most of the phylogenetic groups analyzed here, except for Firmicutes and Tenericutes, a clear relationship with other mechanisms was not detected for transcriptional riboswitches, suggesting that their low frequency in most genomes does not constitute a significant impact on the global variety of transcriptional regulatory elements in prokaryotic organisms.

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35

Poulat, Francis. "Non-Coding Genome, Transcription Factors, and Sex Determination". Sexual Development 15, n.º 5-6 (2021): 295–307. http://dx.doi.org/10.1159/000519725.

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In vertebrates, gonadal sex determination is the process by which transcription factors drive the choice between the testicular and ovarian identity of undifferentiated somatic progenitors through activation of 2 different transcriptional programs. Studies in animal models suggest that sex determination always involves sex-specific transcription factors that activate or repress sex-specific genes. These transcription factors control their target genes by recognizing their regulatory elements in the non-coding genome and their binding motifs within their DNA sequence. In the last 20 years, the development of genomic approaches that allow identifying all the genomic targets of a transcription factor in eukaryotic cells gave the opportunity to globally understand the function of the nuclear proteins that control complex genetic programs. Here, the major transcription factors involved in male and female vertebrate sex determination and the genomic profiling data of mouse gonads that contributed to deciphering their transcriptional regulation role will be reviewed.

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36

Becskei, Attila. "Tuning up Transcription Factors for Therapy". Molecules 25, n.º 8 (20 de abril de 2020): 1902. http://dx.doi.org/10.3390/molecules25081902.

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The recent developments in the delivery and design of transcription factors put their therapeutic applications within reach, exemplified by cell replacement, cancer differentiation and T-cell based cancer therapies. The success of such applications depends on the efficacy and precision in the action of transcription factors. The biophysical and genetic characterization of the paradigmatic prokaryotic repressors, LacI and TetR and the designer transcription factors, transcription activator-like effector (TALE) and CRISPR-dCas9 revealed common principles behind their efficacy, which can aid the optimization of transcriptional activators and repressors. Further studies will be required to analyze the linkage between dissociation constants and enzymatic activity, the role of phase separation and squelching in activation and repression and the long-range interaction of transcription factors with epigenetic regulators in the context of the chromosomes. Understanding these mechanisms will help to tailor natural and synthetic transcription factors to the needs of specific applications.

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37

WATANABE, A., M. ARAI, N. KOITABASHI, M. YAMAZAKI, K. NIWANO y M. KURABAYASHI. "Mitochondrial transcription factors regulate SERCA2 gene transcription". Journal of Molecular and Cellular Cardiology 41, n.º 6 (diciembre de 2006): 1049. http://dx.doi.org/10.1016/j.yjmcc.2006.08.046.

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38

Pan, Yanyun, Jin Dai, Minwei Jin, Qiujun Zhou, Xiaoliang Jin y Jinjie Zhang. "Transcription factors in tanshinones: Emerging mechanisms of transcriptional regulation". Medicine 103, n.º 47 (22 de noviembre de 2024): e40343. http://dx.doi.org/10.1097/md.0000000000040343.

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Transcription factors play a crucial role in the biosynthesis of tanshinones, which are significant secondary metabolites derived from Salvia miltiorrhiza, commonly known as Danshen. These compounds have extensive pharmacological properties, including anti-inflammatory and cardioprotective effects. This review delves into the roles of various transcription factor families, such as APETALA2/ethylene response factor, basic helix-loop-helix, myeloblastosis, basic leucine zipper, and WRKY domain-binding protein, in regulating the biosynthetic pathways of tanshinones. We discuss the emerging mechanisms by which these transcription factors influence the synthesis of tanshinones, both positively and negatively, by directly regulating gene expression or forming complex regulatory networks. Additionally, the review highlights the potential applications of these insights in enhancing tanshinone production through genetic and metabolic engineering, setting the stage for future advancements in medicinal plant research.

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39

Gao, T. W., W. W. Zhang, A. P. Song, C. An, J. J. Xin, J. F. Jiang, Z. Y. Guan, F. D. Chen y S. M. Chen. "Phylogenetic and transcriptional analysis of chrysanthemum GRAS transcription factors". Biologia Plantarum 62, n.º 4 (27 de junio de 2018): 711–20. http://dx.doi.org/10.1007/s10535-018-0816-1.

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40

Fox, Rebecca M. y Deborah J. Andrew. "Transcriptional regulation of secretory capacity by bZip transcription factors". Frontiers in Biology 10, n.º 1 (17 de noviembre de 2014): 28–51. http://dx.doi.org/10.1007/s11515-014-1338-7.

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41

Cai, Bin, Cheng-Hui Li, Ai-Sheng Xiong, Ri-He Peng, Jun Zhou, Feng Gao, Zhen Zhang y Quan-Hong Yao. "DGTF: A Database of Grape Transcription Factors". Journal of the American Society for Horticultural Science 133, n.º 3 (mayo de 2008): 459–61. http://dx.doi.org/10.21273/jashs.133.3.459.

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The database of grape transcription factors (DGTF) is a plant transcription factor (TF) database comprehensively collecting and annotating grape (Vitis L.) TF. The DGTF contains 1423 putative grape TF in 57 families. These TF were identified from the predicted wine grape (Vitis vinifera L.) proteins from the grape genome sequencing project by means of a domain search. The DGTF provides detailed annotations for individual members of each TF family, including sequence feature, domain architecture, expression information, and orthologs in other plants. Cross-links to other public databases make its annotations more extensive. In addition, some other transcriptional regulators were also included in the DGTF. It contains 202 transcriptional regulators in 10 families.

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42

Hampsey, Michael. "Molecular Genetics of the RNA Polymerase II General Transcriptional Machinery". Microbiology and Molecular Biology Reviews 62, n.º 2 (1 de junio de 1998): 465–503. http://dx.doi.org/10.1128/mmbr.62.2.465-503.1998.

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SUMMARY Transcription initiation by RNA polymerase II (RNA pol II) requires interaction between cis-acting promoter elements and trans-acting factors. The eukaryotic promoter consists of core elements, which include the TATA box and other DNA sequences that define transcription start sites, and regulatory elements, which either enhance or repress transcription in a gene-specific manner. The core promoter is the site for assembly of the transcription preinitiation complex, which includes RNA pol II and the general transcription fctors TBP, TFIIB, TFIIE, TFIIF, and TFIIH. Regulatory elements bind gene-specific factors, which affect the rate of transcription by interacting, either directly or indirectly, with components of the general transcriptional machinery. A third class of transcription factors, termed coactivators, is not required for basal transcription in vitro but often mediates activation by a broad spectrum of activators. Accordingly, coactivators are neither gene-specific nor general transcription factors, although gene-specific coactivators have been described in metazoan systems. Transcriptional repressors include both gene-specific and general factors. Similar to coactivators, general transcriptional repressors affect the expression of a broad spectrum of genes yet do not repress all genes. General repressors either act through the core transcriptional machinery or are histone related and presumably affect chromatin function. This review focuses on the global effectors of RNA polymerase II transcription in yeast, including the general transcription factors, the coactivators, and the general repressors. Emphasis is placed on the role that yeast genetics has played in identifying these factors and their associated functions.

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43

Seo, Hyungseok, Joyce Chen, Edahí González-Avalos, Daniela Samaniego-Castruita, Arundhoti Das, Yueqiang H. Wang, Isaac F. López-Moyado et al. "TOX and TOX2 transcription factors cooperate with NR4A transcription factors to impose CD8+ T cell exhaustion". Proceedings of the National Academy of Sciences 116, n.º 25 (31 de mayo de 2019): 12410–15. http://dx.doi.org/10.1073/pnas.1905675116.

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T cells expressing chimeric antigen receptors (CAR T cells) have shown impressive therapeutic efficacy against leukemias and lymphomas. However, they have not been as effective against solid tumors because they become hyporesponsive (“exhausted” or “dysfunctional”) within the tumor microenvironment, with decreased cytokine production and increased expression of several inhibitory surface receptors. Here we define a transcriptional network that mediates CD8+ T cell exhaustion. We show that the high-mobility group (HMG)-box transcription factors TOX and TOX2, as well as members of the NR4A family of nuclear receptors, are targets of the calcium/calcineurin-regulated transcription factor NFAT, even in the absence of its partner AP-1 (FOS-JUN). Using a previously established CAR T cell model, we show that TOX and TOX2 are highly induced in CD8+ CAR+ PD-1high TIM3high (“exhausted”) tumor-infiltrating lymphocytes (CAR TILs), and CAR TILs deficient in both TOX and TOX2 (Tox DKO) are more effective than wild-type (WT), TOX-deficient, or TOX2-deficient CAR TILs in suppressing tumor growth and prolonging survival of tumor-bearing mice. Like NR4A-deficient CAR TILs, Tox DKO CAR TILs show increased cytokine expression, decreased expression of inhibitory receptors, and increased accessibility of regions enriched for motifs that bind activation-associated nuclear factor κB (NFκB) and basic region-leucine zipper (bZIP) transcription factors. These data indicate that Tox and Nr4a transcription factors are critical for the transcriptional program of CD8+ T cell exhaustion downstream of NFAT. We provide evidence for positive regulation of NR4A by TOX and of TOX by NR4A, and suggest that disruption of TOX and NR4A expression or activity could be promising strategies for cancer immunotherapy.

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44

Granadino, B., C. Perez-Sanchez y J. Rey-Campos. "Fork Head Transcription Factors". Current Genomics 1, n.º 4 (1 de diciembre de 2000): 353–82. http://dx.doi.org/10.2174/1389202003351319.

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45

IMAGAWA, Masayoshi. "Transcription Factors in Eukaryotes." Seibutsu Butsuri 33, n.º 3 (1993): 154–58. http://dx.doi.org/10.2142/biophys.33.154.

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46

Wilanowski, Tomasz y Sebastian Dworkin. "Transcription Factors in Cancer". International Journal of Molecular Sciences 23, n.º 8 (18 de abril de 2022): 4434. http://dx.doi.org/10.3390/ijms23084434.

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47

Rusk, Nicole. "Transcription factors without footprints". Nature Methods 11, n.º 10 (29 de septiembre de 2014): 988–89. http://dx.doi.org/10.1038/nmeth.3128.

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48

Williams, Ruth. "Imaging individual transcription factors". Journal of Cell Biology 177, n.º 6 (4 de junio de 2007): 946a. http://dx.doi.org/10.1083/jcb.1776rr1.

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49

Huang, H. y D. J. Tindall. "Dynamic FoxO transcription factors". Journal of Cell Science 120, n.º 15 (17 de julio de 2007): 2479–87. http://dx.doi.org/10.1242/jcs.001222.

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50

KAMBE, FUKUSHI y HISAO SEO. "Thyroid-Specific Transcription Factors." Endocrine Journal 44, n.º 6 (1997): 775–84. http://dx.doi.org/10.1507/endocrj.44.775.

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