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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home4/scienrds/scienceandnerds/wp-includes/functions.php on line 6114Source:https:\/\/www.quantamagazine.org\/a-lobby-where-a-molecule-mob-tells-genes-what-to-do-20240214\/#comments<\/a><\/br> That\u2019s why well-controlled experiments like those of the Stanford team are so useful, Kuhlman added. Usually, when researchers need to measure weak interactions like these, they have two choices: They can make a few very detailed, extremely precise measurements and generalize from them, or they can take a great many quick-and-dirty measurements and use mathematically complex statistical methods to deduce results. But Fordyce and her colleagues, Kuhlman said, used an automated, microfluidic chip-based procedure to take precise measurements during high-throughput experiments \u201cto get the best of both worlds.\u201d<\/p>\n The Stanford team found that different STR sequences can alter the binding affinities of transcription factors to DNA by as much as a factor of 70; they sometimes have more impact on transcription factor binding than changing the sequence of the binding motif itself. And the effects were different for the two different transcription factors they looked at.<\/p>\n So STRs seem able to fine-tune the ability of transcription factors to dock at a DNA site and thus to regulate a gene. But how, exactly?<\/p>\n The researchers figured that the part of a transcription factor that binds DNA might interact weakly with an STR, with the exact strength of that affinity depending on the STR sequence. Because such binding is feeble, it won\u2019t have much specificity. But if a transcription factor is loosely grasped and released by an STR again and again, the cumulative effect is to keep the transcription factor in the vicinity of the gene so that it is more likely to bind securely to the motif region if needed.<\/p>\n Fordyce and her colleagues predicted that STRs thus act as a \u201clobby\u201d or well where transcription factors can gather, however transiently, near a regulatory binding site. \u201cThe repetitive nature of an STR amplifies the weak effect of any single binding site that it is made of,\u201d said Connor Horton<\/a>, the first author on the study, who is now a doctoral student at the University of California, Berkeley.<\/p>\n Conversely, he added, some STRs can also act to pull transcription factors\u00a0away\u00a0from regulatory sequences, soaking up transcription factors elsewhere like a sponge. In this way, they can inhibit gene expression.<\/p>\n The work, Suter said, \u201cshows convincingly that STRs directly impact binding of transcription factors in vitro.\u201d What\u2019s more, the Stanford team used a machine learning algorithm to show that the effects seen in their in vitro experiments also seem to be occurring in living cells (that is, in vivo).<\/p>\n But Robert Tjian<\/a>, a biochemist at Berkeley and an investigator at the Howard Hughes Medical Institute, thinks it may be too early to be sure what influence a given STR-transcription factor combination has on gene expression in real cells.<\/p>\n Tjian, Xavier Darzacq<\/a> and their colleagues in the lab they run together at Berkeley agree that STRs seem to offer a way of concentrating transcription factors near gene regulatory sites. Yet without knowing how close the factors need to be to activate transcription, it\u2019s difficult to understand the functional significance of that result. Tjian said he would like to see whether introducing an STR into a living cell predictably influences the expression of a target gene. At present, he said, he is \u201cnot persuaded that STRs are necessarily going to be a major aspect of [regulatory] mechanisms in vivo.\u201d<\/p>\n One lingering puzzle is how such a mechanism reliably provides the type of precise gene regulation that cells need, since both the strength and the selectivity of transcription factor binding within the STR wells are weak. Fordyce thinks that such specificity of influence could come from many sources \u2014 not just from differences in the STR sequences but also from cooperative interactions between transcription factors and other proteins involved in regulation.<\/p>\n Given all that, Horton said, it\u2019s not clear that it will be straightforward to predict the effect of a given STR-transcription factor combination on the expression of a gene. The logic of the process is fuzzy indeed. And the \u201cgrammar\u201d of the influence is probably combinatorial, Horton added: The outcome depends on different combinations of transcription factors and other molecules.<\/p>\n The Stanford team thinks that perhaps 90% of transcription factors are sensitive to STRs, but that there are many more types of transcription factors in the human genome than there are types of STRs. \u201cMutating an STR sequence might affect the binding of 20 different transcription factors in that cell type, leading to an overall decrease in transcription of that nearby gene without implicating any specific transcription factor,\u201d Horton said.<\/p>\n So in effect, the Stanford team agrees with Tjian that gene regulation in living cells isn\u2019t going to be driven by a single, simple mechanism. Rather, transcription factors, their DNA binding sites, and other regulatory molecules may assemble into dense gatherings that exert their influence collectively.<\/p>\n
\nA \u2018Lobby\u2019 Where a Molecule Mob Tells Genes What to Do<\/br>
\n2024-02-15 21:58:37<\/br><\/p>\nA Waiting Room Near a Gene<\/strong><\/h2>\n
A Combinatorial Grammar<\/strong><\/h2>\n