We are analyzing https://link.springer.com/article/10.1007/s00412-011-0340-y.

Title:
Assembly of the transcription machinery: ordered and stable, random and dynamic, or both? | Chromosoma
Description:
The assembly of the transcription machinery is a key step in gene activation, but even basic details of this process remain unclear. Here we discuss the apparent discrepancy between the classic sequential assembly model based mostly on biochemistry and an emerging dynamic assembly model based mostly on fluorescence microscopy. The former model favors a stable transcription complex with subunits that cooperatively assemble in order, whereas the latter model favors an unstable complex with subunits that may assemble more randomly. To confront this apparent discrepancy, we review the merits and drawbacks of the different experimental approaches and list potential biasing factors that could be responsible for the different interpretations of assembly. We then discuss how these biases might be overcome in the future with improved experiments or new techniques. Finally, we discuss how kinetic models for assembly may help resolve the ordered and stable vs. random and dynamic assembly debate.
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Keywords {🔍}

article, google, scholar, pubmed, cas, transcription, cell, biol, rna, polymerase, assembly, mol, chromatin, dynamics, mcnally, sci, dna, cells, usa, fluorescence, factors, protein, living, proc, natl, acad, dynamic, binding, nature, promoter, hager, function, random, stasevich, complex, access, factor, initiation, chem, nat, analysis, machinery, stable, gene, photobleaching, complexes, vivo, science, glucocorticoid, privacy,

Topics {✒️}

month download article/chapter temporal cross-correlation asymmetry double-hexameric mcm2-7 complex chromatin-specific repressive activity live-cell imaging determined biarsenical-binding tetracysteine motif mammalian cell-based optimization quantitative high-throughput analysis tata-binding protein dynamics de novo formation glucocorticoid receptor-dna interaction single molecule tracking anchoring chromatin-modifying complexes full article pdf glucocorticoid receptor-regulated promoter promoter recognition complexes eukaryotic dna replication article chromosoma aims related subjects rna polymerase ii tata-binding protein steroid receptors search mammalian rna polymerase privacy choices/manage cookies activity–occupancy relationships highly stable loading karpova ts gene expression profiles soluble system dependent purified components reveals target site dna-dependent transcription genome-wide localization cell-specific transcription histone h1 mobility atp-dependent mobilization cdt1 associates dynamically native gene loci basal initiation machinery freeman bc stable transcription complex dynamic assembly debate cross-validating frap living yeast cells cellular protein dynamics nuclear protein dynamics distinct promoter dynamics rapid periodic binding van teeffelen haam transcription factor interaction

Questions {❓}

Assembly of the transcription machinery: ordered and stable, random and dynamic, or both?
Assembly of the transcription machinery: ordered and stable, random and dynamic, or both?
Collins GA, Tansey WP (2006) The proteasome: a utility tool for transcription?
Dezwaan DC, Freeman BC (2008) HSP90: the Rosetta stone for cellular protein dynamics?
Mueller F, Mazza D, Stasevich TJ, McNally JG (2010) FRAP and kinetic modeling in the analysis of nuclear protein dynamics: what do we really know?

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      description:The assembly of the transcription machinery is a key step in gene activation, but even basic details of this process remain unclear. Here we discuss the apparent discrepancy between the classic sequential assembly model based mostly on biochemistry and an emerging dynamic assembly model based mostly on fluorescence microscopy. The former model favors a stable transcription complex with subunits that cooperatively assemble in order, whereas the latter model favors an unstable complex with subunits that may assemble more randomly. To confront this apparent discrepancy, we review the merits and drawbacks of the different experimental approaches and list potential biasing factors that could be responsible for the different interpretations of assembly. We then discuss how these biases might be overcome in the future with improved experiments or new techniques. Finally, we discuss how kinetic models for assembly may help resolve the ordered and stable vs. random and dynamic assembly debate.
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         Human Genetics
         Animal Genetics and Genomics
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