July 01, 2022
Yeast are keenly sensitive to internal pH. Several membrane proteins pump H+ ions out of the cell to keep the internal pH near neutral. When carbon becomes scarce, however, it is essential for survival that these pumps get inactivated so the internal space is rapidly acidified. This acidification is postulated to conserve energy and trigger a number of subsequent pathways to combat starvation. Key among these adaptive responses is the derepression of the glucose-repressed genes. The well-studied SWI/SNF complex has been established as a key mediator for this, but the details of how the transcriptional boost is effected have not been known.
In studying the sequence and structure of the eleven subunits of the SWI/SNF complex, the authors noted that ten of the eleven subunits had large intrinsically disordered regions and that four of the eleven contained glutamine-rich low-complexity sequences (QLCs) that contain multiple histidine residues. QLCs were previously identified as important for binding transcription factors.
In looking for a link between pH and activation, the authors postulated that the histidine residues might be important because the histidine sidechain has an intrinsic pKa of 6.9, and thus might change conformation when pH drops.
Detailed comparative analysis of QLCs from yeast and other organisms led the authors to conclude that, in yeast, the histidines are salient features of QLCs that have been evolutionarily conserved. Given this, they noted that the N terminus of Snf5p has one of the largest QLCs in the whole yeast proteome and is in the top three for number of histidines.
Naturally, given the tools of the yeast model, the next step was to mutate the protein, for which they compared a full deletion against an N-terminal deletion of the QLC and a targeted allele with four histidines within the QLC mutated to alanine.
They found that total loss of the gene was phenotypically distinct from either of the QLC-targeted mutants. Total absence of the protein caused disruption of the SWI/SNF architecture, while QLC-mutants maintained an intact complex but showed disruptions in transcriptional reprogramming in response to starvation, as specifically measured by derepression of the ADH2 gene.
By a subsequent series of elegant biochemical experiments—conducted both in vivo and in vitro—the authors show with great precision how the Snf5p QLC specifically senses pH to trigger widespread reprogramming of genes that will help yeast metabolize non-preferred carbon sources. Even more specifically, they show how acidification leads to protonation of the histidines in the QLC, causing that region of the protein to expand and change conformation, thereby affecting the binding properties of the whole SWI/SNF complex.
The ability to do these experiments and develop a model of how the cell accomplishes delicate regulation once more astounds us with the awesome power of yeast genetics.
Categories: Research Spotlight
July 31, 2018
If there was a World Cup soccer championship for cellular proteins, it’s a pretty sure bet that calcineurin wouldn’t make the team. That’s because this protein is one of those players that just can’t help but use their hands! And as pretty much everyone knows, that’s a big no-no for soccer players (except goalies, of course).
Conserved across virtually all eukaryotic organisms — from plants and protozoa to fungi and humans — calcineurin is a very abundant calcium-binding protein. In fact, it’s so abundant that it makes up 1% of the total protein content in a cow’s brain!
But what does this ubiquitous protein do? Well, it’s “merely” responsible for regulating many diverse, fundamental life processes… things such as fertilization, development, behavior, life span, responses to environmental cues, immune responses, cell death, and so on.
For eukaryotes, certain environmental and developmental cues, such as hormones or nutrient availability, can initially signal their presence by causing a change in the cell’s internal calcium levels. Calcineurin helps detect these calcium level changes and then passes the signal on in a chain of events.
Calcineurin is a calcium-regulated protein phosphatase, meaning that when it is activated by calcium level changes, it removes a phosphate group(s) from other proteins, particularly transcription factors. When these transcription factors have their phosphate group(s) chopped off by calcineurin, they travel into the cell’s nucleus and turn on a specific set of genes needed to make the cell respond appropriately to the original environmental or developmental cue.
Calcineurin is actually made up of two different proteins that bind together. One is a catalytic protein subunit (called CNA) and the other is a regulatory subunit (CNB). In our yeast friend Saccharomyces cerevisiae, the regulatory CNB protein subunit of the calcineurin complex is encoded by the CNB1 gene.
The Cnb1 protein contains a set of four almost-identical short amino acid domains that are conserved in the CNB proteins of all other organisms. These motifs are called “EF hand” domains because each of them looks like a spread thumb and forefinger of a human hand. And crucially, each “EF hand” can grab and hold onto calcium ions (Ca2+). The four EF hands of the Cnb1 protein are called EF1, EF2, EF3 and EF4, respectively.
But besides holding onto calcium ions, what else do these hands do? Why are there 4 of them? Are each of the hands doing the same thing? Does the right hand know what the left (or the middle, or the other middle) hand is doing?
The authors made a series of 4 different mutant CNB1 genes, each one having a disabling mutation in one of the 4 EF hands so that the hand can’t grab calcium ions any more. They put these mutant-handed CNB1 genes into yeast cells that had their normal CNB1 gene completely removed. The yeast cell thus ends up depending on a Cnb1 protein with one mutant hand and three functional hands. In a way, they are making Cnb1p have one of its 4 hands tied behind its back, and then seeing how well it can do its job!
How did they test how well each of the mutant-handed proteins works? Remember that the Cnb1 protein is the regulatory subunit of calcineurin, and calcineurin activates a transcription factor by dephosphorylating it. In yeast, the transcription factor regulated by calcineurin is encoded by the CRZ1 gene. The Crz1 protein recognizes and binds a certain DNA sequence (called CDRE) located just upstream of each one of its target genes and turns these genes on, ultimately changing the yeast cell’s behavior during calcium signaling. The authors put a special reporter gene into their yeast strains; this reporter gene has the special CDRE DNA sequence fused to an often-used bacterial gene called lacZ. The amount of lacZ protein produced by the yeast cells (which positively correlates with calcineurin function) can be sensitively monitored by an easy test tube assay.
Using this test tube assay, Connolly and co-workers tested how well each of the EF hand mutants worked. First they tested how well each could turn on the CRZ1-regulated genes, and also how well the mutant proteins detected calcium. Then they also tested how well each of the mutant-handed Cnb1 proteins worked in high salt environments, during the mating response, under oxidative stress conditions, and even in the presence of immunosuppressive drugs! Why the latter? Calcineurin is a target of immunosuppressive drugs, which are used when people get organ transplants to stop their own bodies from attacking the “foreign” organ. Yeast calcineurin is so similar to human calcineurin that it too is affected by these drugs!
The results were clear (well, actually yellow in the assay)—in all cases, the Cnb1 protein was able to have its EF4 hand disabled and still function perfectly or almost as well as the intact Cnb1 protein! But whenever one of the other EF hands was disabled, the function of calcineurin suffered, and this was true for each of the many ways it was tested, from salt to mating to immunosuppressive drugs.
It appears that when any of the useful hands (EF1, 2 or 3) were mutated, it causes Cnb1p to improperly change its shape in response to calcium, and this misshapen protein can’t do its job of activating Crz1p and ultimately getting the cell to respond to calcium-mediated signals properly.
And (#APOYG alert!) these yeast genetic results for the 4 EF hands match very closely to what’s been seen for mammalian calcineurin EF hand mutants in test tube (“in vitro“) experiments, giving an even stronger confirmation to these mammalian results. Maybe yeast will help develop new strategies for calcineurin-related diseases!
So now back to soccer… As we’ve found out, calcineurin HAS to use its hands, so it’s not a good pick for a regular soccer position player. But maybe it could be a super-awesome goalie since it has 4 hands! It even seems that you can tie its EF4 hand behind its back and Cnb1p can still guard the goal just fine with its remaining 3 hands – the EF4 hand seems to be a totally useless appendage! But if you disable any of the other hands, then it causes the Cnb1 protein to bend awkwardly and not do its job anymore.
Thanks to the efforts of Connolly and coworkers, we now know that it’s not quite “all hands on deck” for Cnb1p, but rather “EF 1, 2, and 3 hands on deck” in order to carry out its “goal” of regulating cellular responses to calcium!
by Barbara Dunn, Ph.D. and Kevin MacPherson, M.S.
Categories: Research Spotlight
February 18, 2014
There are two very different kinds of sports in the Winter Olympics (and in all sporting competitions really). In one set, it is the athletes alone out on the ice or sliding down the slope, trying to get the best time they can. They can only use themselves as the motivator.
In another set of sports, like speed skating, athletes compete directly with one another. Here they can use each other to push themselves to go faster, farther, etc.
The key to each is obviously the proximity of other athletes. If there are a bunch of athletes around you, you will all do better by feeding off each other’s signals. If you are by yourself, then only you can produce the signals to motivate yourself to go faster.
Youk and Lim show in a new study that the same sort of thing happens in cells that can both secrete and sense the same signal. If there aren’t a lot of cells around they tend to signal themselves, but in a crowded place, they are all signaling each other.
This may seem a bit esoteric but it really isn’t. These sorts of “secrete-and-sense” systems are common in biology. Cell types from bacteria to our own T cells have them, and they allow for a surprisingly wide range of responses. Understanding how these systems work will explain a lot of biology and, perhaps, help scientists create new sensing systems for bioengineered beasts.
Youk and Lim used our favorite organism Saccharomyces cerevisiae to study this widespread signaling system. They created a bevy of strains that can either secrete and sense alpha factor or that can only sense the pheromone. They grew varieties of these two strains together under various conditions to determine when the “secrete-and-sense” strains could also signal to the “sense only” strains. Like our athletes, the cell concentration was important. But so too were the levels of alpha factor and receptor.
The authors first created a strain that senses the presence of alpha factor with the Ste2p receptor and in response turns on GFP through the FUS1 promoter. (The strain is deleted for FAR1 to prevent cell cycle arrest.) As expected, increasing amounts of alpha factor resulted in increased levels of GFP.
It is from this strain they created their “secrete-and-sense” and “sense only” strains. The “secrete-and-sense” strain included a doxycycline inducible promoter driving the alpha factor gene. The more doxycycline, the more alpha factor it makes, resulting in more GFP. To tell the two strains apart in experiments, they added a second reporter, mCherry, under a constitutive promoter to the “sense only” strain. Now in their experiments they can distinguish between the strains that glow only green and those that glow red and, sometimes, green.
The first experiment was simply to see what effect differing cell and alpha factor concentrations had on the two strains’ ability to glow green. At low cell and doxycycline concentrations, only the “secrete-and-sense” strain glowed green. This makes sense, as too little alpha factor was made to get to the relatively distant neighbors. At high cell and doxycycline concentrations, both glowed green almost indistinguishably. Here the system was flooded with enough alpha factor for everyone to respond.
The results were less binary at either low cell and high doxycycline concentrations or high cell and low doxycycline concentrations. Under either of these conditions, the “sense only” strain did glow green although at a much slower rate.
Youk and Kim didn’t stop there. They also tested whether the amount of receptor affected these results. When the two strains expressed high levels of receptor, the amount of alpha factor didn’t matter at low cell concentrations—only the “secrete-and-sense” strain glowed green. This makes sense as the strain can quickly suck up any amount of alpha factor it makes. Again at high cell concentrations the differences disappear.
In a final set of experiments the authors created positive feedback loops and signal degradation systems, which are both very common in nature. The positive feedback loop was created by putting the doxycycline activator, rtTA, under the control of doxycycline, and a signal degradation system was engineered using Bar1p, a protease that degrades alpha factor. Using these systems they were able to show that at low cell concentration, low Bar1p expression, and strong positive feedback, individual cells were either on or off. This sort of activity may be important in nature, where under certain conditions a response may be beneficial and in others a response may not. This bet hedging means that the population can survive under both sets of conditions.
It is amazing that such a simple set of conditions can lead to so many different responses, almost as varied as the performances of Olympic athletes. These findings not only help to explain how these deceptively simple systems work and why they are so common in nature, but might also be incredibly useful in setting up synthetic secrete-and-sense circuits for biotechnology applications.
by D. Barry Starr, Ph.D., Director of Outreach Activities, Stanford Genetics
Categories: Research Spotlight