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Although having the human genome sequenced still seems new, genomics research rushes ahead to the next step, so-called functional genomics. What this field covers depends largely on who is being asked, but many scientists agree that functional genomics ranges from expression and sequencing of genes to proteomics and protein-protein interactions. (For a useful resource, see “News Flash: Functional Genomics,” later in this feature.) The ultimate range of this field will surely depend on how it evolves. As Manoj Kenkare, a senior analyst at Frost & Sullivan, said, “Functional genomics is a very young market.” Nevertheless, functional genomics will not outgrow all previous technologies, especially gene expression. Kenkare sees growing demand for studying gene expression with microarrays, which increases the efficiency of toxicity testing in drug discovery. He added, “Controlling genetics expression and regulation may lead to treatments for diseases ranging from cancer to infection, and even to aging.” Genomics will also create continued benefits in agriculture, especially in terms of plant productivity and resistance to pests and harsh conditions. Overall, Kenkare said that the market for functional genomics is expected to increase at an annual compound growth rate of 28 percent for the next six years. Executives in the commercial sector also expect advances emerging from functional genomics. At Amersham Biosciences, Mike Evans, vice president of marketing and strategy, anticipates that functional genomics will drive big benefits in drug discovery. “People doing drug discovery are ever so keen to get to biological significance very quickly,” said Evans. Kenkare sees crucial advances lying just ahead for functional genomics. For one thing, the anticipated growth in this field makes this a market worthy of investment. “Application areas—such as clinical diagnostics, agrobiotech, and pharmacodynamics—are going to be of growing relevance to genomics in the future,” said Kenkare. He also sees microarrays becoming a research standard in genetics, which he said, “allows for very profitable partnerships between varied research areas.” For an applications oriented conference see “A Drug Discovery and Development Extravaganza,” later in this feature.
ORFs All Around On the other hand, companies including ATCC, Invitrogen, and OriGene make large numbers of clones that can be ordered. More than just providing a clone, however, Provost said, “We believe it is important to be able to take a clone from one expression system to another, be able to move it around seamlessly and make sure it did not get damaged genetically.” To do that, Invitrogen developed its Gateway Technology for cloning and expression, which allows rapid cloning of one or more genes into a wide range of protein expression systems—from bacteria to yeast to C. elegans to mammalian systems. Rob Bennett, director of research and development at Invitrogen, said, “We see Gateway as the biological operating system.” He added that Gateway provides ORFs, or open reading frames, so that investigators can study them in multiple expression systems, look at protein-protein interactions, or identify targets for RNA interference (described below). Recently, Invitrogen added another feature to Gateway—making the results less restrictive. “If you have Gateway clones,” Provost said, “we want you to share that. Researchers can take building blocks of Gateway and distribute those with no licensing fees or royalties.” Jon Chesnut, group leader in charge of cloning technologies at Invitrogen, said that many scientists already use Gateway to move clones between expression systems. For example, he said, “Stephan Wiemann’s group at the EMBL [European Molecular Biology Laboratory] in Heidelberg took a pool of genes—about 100 cDNAs—and used Gateway to move the clones into mammalian expression constructs which fused fluorescent tags with the genes. After transfection, the expressed proteins were followed by microscopy to examine their compartmentalization and to classify them by where they go in the cell.”
Express Your Self A key improvement in expression analysis comes from real-time quantitative PCR, which lets an investigator watch gene expression occur and measure its levels. Bio-Rad offers that capability in its iCycler iQ real-time PCR detection system. Moore said, “This system can multiplex up to four targets in a single tube, so you can compare one to three genes to a housekeeping, or control, gene.” Bio-Rad also offers the MyiQ real-time PCR detection system for scientists who work with the most common detection chemistries—SYBR Green I and FAM. USB also makes kits for real-time PCR in one-tube and two-tube versions, plus tools for PCR amplification, purification, and analysis.
Pulling Out the Proteins Next, a scientist recovers proteins from a spot on a gel and studies them further with MS, which can create peptide mass fingerprints. These systems are offered by companies like Agilent, Bruker Daltonics, and Waters. At Applied Biosystems, Hicks said, “The most significant move is the introduction of our 4700 Proteomics Discovery System.” He went on: “In proteomics, one key application is the need to measure and identify large numbers of proteins between and across samples and, if possible, measure the quantity or relative quantity between samples. The 4700 system provides that capability.” The 4700 analyzer also comes with a six-month subscription to the Celera Discovery System, which provides mouse and human genome data from public and proprietary databases, and a variety of other genomic tools. As Hicks said, “It is not good enough to simply give lists of proteins that have been identified in samples. With the Celera Discovery System, scientists get the list of identified proteins plus functional classification and information on the genes and the genetic analysis associated with the proteins.” The 4700 Proteomics Analyzer can also be used with software from other companies, such as Spotfire, which is described below. Nonetheless, really understanding the proteome demands more than knowledge of protein expression. Hicks said, “Posttranslational modifications [PTM] will play an important role.” Applied Biosystems’ 4000 Q TRAP LC/MS/MS System combines ion trapping, which is a form of liquid chromatography, and triple quadrupole technology. “The ion trap provides protein identification,” said Hicks, “and the triple quadrupole identifies and measures any modifications after translation, and potentially quantifies it. This enables whole new approaches to PTM analysis and other key applications in proteomics such as accurate protein quantitation.”
Advancing Arrays Toward the end of 2003, Clark Mason, product line manager at Applied Biosystems, said, “We have a number of worldwide sites where our whole genome chip is up and running.” At that time, he expected unrestricted release of that microarray by the start of 2004. Mason said, “The Applied Biosystems Expression Array System can detect gene expression at extremely low levels and with small amounts of sample, which is important to those researchers working with limited amounts of samples, as often required for cancer research. Also, the system unambiguously interprets those data into gene expression events.” Mason pointed out that a customer can use this system for target screening, target identification, and target validation. This whole genome microarray will include 30,000 genes and more than 60,000 transcripts. “It’s the best view of the genome that we have right now,” Mason said. In addition, some companies use microarrays to follow proteins. Ciphergen Biosystems, for example, developed a number of systems based on microarrays and mass spectrometry for both research and clinical applications.
A Choice of Hybrids This yeast technique is based on a transcription factor that binds to a gene and causes it to produce RNA and then protein. This transcription factor consists of two parts: the binding domain, which attaches to a gene, and the activation domain, which turns on RNA production. The two domains can be separated and each fused to a different protein of interest. The two hybrid proteins can then be tested to see if they interact with each other. If they are related, the two domains will bind to each other and cause RNA production. This system has been well developed in the yeast model and is now offered by several companies, including Clontech, Invitrogen, and Stratagene.
Stratagene also offers BacterioMatch, another two-hybrid system. With this technique, however, all screening is done in bacteria. Since bacteria grow so fast, a researcher can have colonies in one day. Buchanan said, “This system looks for protein-protein interactions through two screens: an initial one for histidine prototrophy, basically needing this as a nutrient, and a second for resistance to streptomycin, which reduces the likelihood of false positives.”
Advantageous Interference Dorris pointed out that RNAi can answer a wide variety of questions. What happens if a given gene is not there? What happens if six genes get knocked out at once? RNAi tackles such questions. Still, Dorris said, “RNAi is not a perfect technique. You need to make sure that an effect comes from knocking down a gene, not from the effect of the RNAi itself.” So, Ambion products use as little RNA as possible. With so many genes and so many model organisms, companies need to provide many forms of siRNA. Dorris said, “We have many predesigned siRNAs. If a researcher has a gene, then we more than likely already have the siRNA designed.” Ambion has more than eighteen thousand siRNAs for human, about eighteen thousand for mouse, and five thousand for rat. This company also carries siRNAs to knock down entire classes of genes, including kinases and other drugable target classes. If Ambion does not have the siRNA on the shelf, the company will make it. “Send us the sequence by 2 p.m.,” said Dorris, “and then we start synthesis this afternoon.” Many companies plunged into this rapidly growing field. At Invitrogen, for instance, Bennett said, “We recently launched a line of RNAi expression vectors, which are Gateway-adapted so that you can place short hairpin RNA [shRNA] in an expression cassette and test it to knock down mRNA and a protein.” Then, when a researcher finds an shRNA that knocks down the appropriate gene, it can be moved to various vectors through the Gateway technology. Much of today’s high throughput screening for therapeutics takes place in vitro. Evans of Amersham said, “Customers want to see how purified proteins interact with candidate drug compounds in vitro, and then take this primary screening and understand how the ‘hit’ compounds interact with target proteins in the cell.” To follow the action inside cells, Amersham developed its IN Cell Analyzer 3000. Evans said, “This instrument platform is an automated fluorescence analyzer. It lets you see events inside the cell and track proteins moving in the cell.” Several companies already use the IN Cell Analyzer 3000 for a variety of purposes. Norak Biosciences, for example, uses the IN Cell system for drug discovery. Scientists at Norak combine their Transfluor technology with the IN Cell system. Transfluor uses G-protein-coupled receptors, often called GPCRs, in a drug discovery assay. Specifically, this system looks for drugs against GPCR targets.
Firming Up the Software Side Those tasks create large volumes of data. Ladd said, “Now, we are looking at ten thousand or tweny thousand genes at a shot, and who knows how many proteins.” That all creates more information than anyone can juggle in a single brain. Consequently, a variety of companies—including Accelrys, DNAStar, and Spotfire—make bioinformatics packages. Spotfire’s DecisionSite for Functional Genomics, just out in a new version, enables research groups to quickly find and categorize important genes and gene expression patterns. Ladd said, “We have added the ability to connect to gene ontologies. That is, this program makes it easier to go from a cluster of genes that behave similarly in an experiment to understanding where this group of genes is found—in a statistically significant way—in pathways or cellular locations.” In addition, this program incorporates visualization capabilities that let users examine the expression and annotation dimensions of their data. DecisionSite also allows researchers to take advantage of an open-source statistical environment called R. Ladd said, “We have an R integration that lets customers incorporate any R algorithm they might want.” In some ways, the future of functional genomics unfolds day by day. Scientists now do things that researchers could not imagine a decade ago. As new information emerges, the advances could be exponential—more and more questions being resolved as more is known.
Note: Readers can find out more about the companies and organizations listed by accessing their sites on the World Wide Web (WWW). If the listed organization does not have a site on the WWW or if it is under construction, we have substituted its main telephone number. Every effort has been made to ensure the accuracy of this information. The companies and organizations in this article were selected at random. Their inclusion in this article does not indicate endorsement by either AAAS or Science nor is it meant to imply that their products or services are superior to those of other companies.
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Science. ISSN 0036-8075 (print), 1095-9203 (online)