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{"id":39172,"date":"2024-02-15T21:58:37","date_gmt":"2024-02-15T21:58:37","guid":{"rendered":"https:\/\/scienceandnerds.com\/2024\/02\/15\/a-lobby-where-a-molecule-mob-tells-genes-what-to-do\/"},"modified":"2024-02-15T21:58:38","modified_gmt":"2024-02-15T21:58:38","slug":"a-lobby-where-a-molecule-mob-tells-genes-what-to-do","status":"publish","type":"post","link":"https:\/\/scienceandnerds.com\/2024\/02\/15\/a-lobby-where-a-molecule-mob-tells-genes-what-to-do\/","title":{"rendered":"A \u2018Lobby\u2019 Where a Molecule Mob Tells Genes What to Do"},"content":{"rendered":"

Source:https:\/\/www.quantamagazine.org\/a-lobby-where-a-molecule-mob-tells-genes-what-to-do-20240214\/#comments<\/a><\/br>
\nA \u2018Lobby\u2019 Where a Molecule Mob Tells Genes What to Do<\/br>
\n2024-02-15 21:58:37<\/br><\/p>\n

\n

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

A Waiting Room Near a Gene<\/strong><\/h2>\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

A Combinatorial Grammar<\/strong><\/h2>\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

\u201cThere are now multiple examples that support the idea that DNA elements can crowd transcription factors to the point where they form condensates with cofactors,\u201d said Richard Young<\/a>, a cell biologist at the Whitehead Institute of the Massachusetts Institute of Technology. Enhancers bind many transcription factors to produce that crowding. STRs may be an ingredient that helps muster transcription factors to cluster near a gene, but they won\u2019t be the whole story.<\/p>\n

Why regulate genes in this complicated manner, rather than relying on the kind of strong and specific interactions between regulatory proteins and DNA sites that dominate in prokaryotes? It\u2019s possible that such fuzziness is what made large complex metazoans possible at all.<\/p>\n

To be viable species, organisms need to be able to evolve and adapt to changing circumstances. If our cells relied on some huge yet tightly prescribed network of gene regulatory interactions, it would be difficult to make any changes to it without disrupting the whole contraption, just as a Swiss watch will seize up if we remove (or even slightly displace) any of its myriad cogwheels. If the regulatory molecular interactions are loose and rather unspecific, however, there is useful slack in the system \u2014 just as a committee can generally come to a good decision even if one of its members is out sick.<\/p>\n

Fordyce notes that in prokaryotes like bacteria, it may be relatively easy for transcription factors to find their binding sites because the genome to be searched is smaller. But that gets harder as the genome gets bigger. In the big genomes of eukaryotes, \u201cyou can no longer tolerate the risk that you will become transiently stuck at a \u2018wrong\u2019 binding site,\u201d Fordyce said, because that would compromise the ability to respond quickly to changing environmental conditions.<\/p>\n

Moreover, STRs themselves are highly evolvable. A lengthening or shortening of their sequence, or an alteration to the size and depth of the \u201ctranscription factor well,\u201d can occur easily through mishaps in DNA replication or repair, or through sexual recombination of the chromosomes. To Fordyce, it suggests that STRs \u201cmay therefore serve as the raw material for evolving new\u00a0regulatory elements\u00a0and fine-tuning existing regulatory modules for sensitive transcriptional programs,\u201d such as those governing the development of animals and plants.<\/p>\n

The Power of Weak Interactions<\/strong><\/h2>\n

Such considerations are leading molecular biologists to pay much more attention to weak and relatively unselective interactions in the genome. Many of these involve proteins that, instead of having a fixed and precise structure, are loose and floppy \u2014 \u201cintrinsically disordered,\u201d as biochemists put it. If proteins only worked through rigid structural domains, Young explained, it would constrain not only how well regulatory systems could evolve but also the kinds of dynamic regulation seen in life. \u201cYou won\u2019t find a living organism \u2014 or even a virus \u2014 functioning with only stable structural elements like those in a Swiss watch,\u201d Young said.<\/p>\n

Perhaps evolution just stumbled on STRs as a component of such a complex but ultimately more effective solution to gene regulation in eukaryotes. STRs themselves may arise in several ways \u2014 for example, through errors in DNA replication or the activity of DNA segments called transposable elements that make copies of themselves throughout the genome.<\/p>\n

\u201cIt just so happened that the resulting emergent weak interactions between proteins and the repetitive sequences was something that could \u2026 provide selective advantage to the cells where it occurred,\u201d Kuhlman said. His guess is that this fuzziness was probably forced upon eukaryotes, but that \u201cthey were subsequently able to exploit [it] for their own benefit.\u201d Bacteria and other prokaryotes can rely on well-defined \u201cdigital\u201d regulatory logic because their cells tend to exist in only a few simple, distinct states, such as moving around and replicating.<\/p>\n

But the different cell states for metazoans are \u201cmuch more complex and sometimes close to a continuum,\u201d Suter said, so they are better served by fuzzier \u201canalog\u201d regulation.<\/p>\n

\u201cThe gene regulatory systems in bacteria and eukaryotes do seem to have diverged quite substantially,\u201d Tjian agreed. While Monod is said to have once remarked that \u201cwhat is true for E. coli<\/em> is true for the elephant,\u201d it seems that isn\u2019t always so.<\/p>\n<\/div>\n

<\/br><\/br><\/br><\/p>\n

Uncategorized<\/br>
\n<\/br>
\nSource:
https:\/\/www.quantamagazine.org\/a-lobby-where-a-molecule-mob-tells-genes-what-to-do-20240214\/#comments<\/a><\/br><\/br><\/p>\n","protected":false},"excerpt":{"rendered":"

Source:https:\/\/www.quantamagazine.org\/a-lobby-where-a-molecule-mob-tells-genes-what-to-do-20240214\/#comments A \u2018Lobby\u2019 Where a Molecule Mob Tells Genes What to Do 2024-02-15 21:58:37 That\u2019s why well-controlled experiments like those of the Stanford team are so useful, Kuhlman added. 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