|
|
||||||||
Yale Child Health Research Center, Section of Critical Care and Applied Physiology, Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut 06519
| |
ABSTRACT |
|---|
|
|
|---|
Now that near-complete DNA sequences of both the mouse and human genomes are available, the next major challenge will be to determine how each of these genes functions, both alone and in combination with other genes in the genome. The mouse has a long and rich history in biological research, and many consider it a model organism for the study of human development and disease. Over the past few years, exciting progress has been made in developing techniques for chromosome engineering, mutagenesis, mapping and maintenance of mutations, and identification of mutant genes in the mouse. In this mini-review, many of these powerful techniques will be presented along with their application to the study of development, physiology, and disease.
phenotype; genome
| |
THE MOUSE: A KEY MODEL ORGANISM FOR STUDYING HUMAN DEVELOPMENT AND DISEASE |
|---|
|
|
|---|
The mouse has a long and profitable history in biomedical research, and its origin as the leading model system for biomedical research can be traced back to the beginning of human civilization (23, 34). From early on in history, humans noticed spontaneously arising coat-color mutants and recorded their observations for thousands of years; by the 1700s, many varieties of mice had been domesticated as pets by mouse fanciers in Japan and China. This practice was adopted by the Europeans, who subsequently began breeding these strains with local mice, creating the progenitors of modern laboratory mice (5, 23, 45). Genetic mapping in mice began in 1915 when Haldane and colleagues (16) reported linkages between the pink-eye dilution and albino loci on a linkage group that was eventually assigned to mouse chromosome 7.
Although the publication of the human draft genome sequence has heralded a new era of research in genetics (26, 51), the obvious logistical obstacles of carrying out experimental studies in humans necessitate the use of a model organism. The mouse is quite similar to humans physiologically and is considered by many to be the ideal model organism. Some important features that make the mouse such an ideal organism in which to study biological processes relevant to humans include its relatively short generation time (~10 wk), its small size, the history of over a century of genetic studies, and the existence of many inbred strains and hundreds of spontaneous mutations. In addition, practical techniques are now available for random mutagenesis and directed engineering of the genome through knockout, knockin, and transgenic techniques. It is thought that mice and humans diverged from a common ancestor ~65-75 million years ago, yet most salient aspects of mammalian physiology have not diverged significantly in these lineages during this time. Both organisms have the same organ systems, similar reproductive cycles, similar skeletons, and quite similar biochemistries, physiologies, and pathologies. We now know that the similarity of humans and mice extends to their genomes as well.
Mus musculus, a species of mouse, is one of the five key model organisms sequenced as part of the Human Genome Project. In 1998-1999, the National Institutes of Health published an action plan for mouse genomics that, among other things, called for a working draft sequence of the mouse genome by 2003. The Mouse Genome Sequencing Consortium, an international consortium dedicated to producing such a working draft sequence, recently achieved that goal with its publication of the genomic sequence of the mouse strain C57BL/6J (52). Comparison of the mouse and human genome sequences reveals extensive similarities and some intriguing differences. Humans and mice have ~30,000 genes each, although the mouse genome is ~14% smaller than the human genome (2.5 vs. 2.9 gigabytes). There is a remarkable degree of synteny between the two genomes: over 90% of the mouse and human genomes can be partitioned into regions of conserved synteny in which the gene order on the chromosome is conserved. Of the ~30,000 protein-coding genes in the mouse genome, 99% of these have a sequence match in the human genome; when considering the entire mouse and human genomes at the nucleotide level, there is ~40% identity. The opportunities to use the information contained in the mouse and human genomes to study human disease and to devise new therapies to treat human disease with the use of the mouse as a model system are extraordinary. This new information will radically change the way that experimental genetics can be done.
| |
FUNCTIONAL GENOMIC APPROACHES TO STUDY GENE FUNCTION AND REGULATION |
|---|
|
|
|---|
Understanding the function of genes and other parts of the genome is known as functional genomics. The Human Genome Project is just the first step in understanding humans at the molecular level. Now that the sequencing phase of the human and mouse genomes is complete, many questions remain unanswered, including the function of most of the estimated 30,000-35,000 mouse and human genes. In the following sections, I will present a few of the techniques that are being applied to the daunting yet exciting task of functional genomic analysis in the mouse.
Targeted mutagenesis.
Presently, very few of the ~30,000 genes present in the mouse genome
have been mutated; those that have been mutated were mostly by
homologous recombination in embryonic stem cells (gene knockout).
Although this technique is both time and resource intensive, it remains
the best way to determine the function of a specific gene in vivo. Many
of the genes that have been mutated via targeted mutagenesis are
cataloged at the Jackson Laboratory (http://tbase.jax.org/). These
targeted mutations have provided a significant amount of information to
biomedical research so far. There have been, and continue to be, a
number of ongoing refinements to the technique of targeted mutagenesis
that serve to strengthen the power of this technique for studying gene
function. For instance, rather than just disrupting the function of an
entire gene by homologous recombination (knockout), it is also possible
to introduce subtle missense and/or gain of function mutations
(knockin) in a specific gene or gene regulatory element (41,
44). Thus the function of specific domains of a gene can be
elucidated in vivo, as can the role of gene regulatory elements such as
tissue-specific enhancers. In addition, one major advance in the field
of targeted mutagenesis is the development of techniques for
conditional control of gene expression in vivo. The most common
techniques used for conditional gene expression in the mouse make use
of binary transgenic systems in which the conditional expression of a
gene is controlled by the interaction of two integral components: an
"effector" transgene, whose product interacts, in turn, with a
target transgene (Fig. 1) (Ref.
10 and reviewed in Ref. 28). There are
generally two categories of binary systems used for conditional gene
expression. In one, the effector transgene transactivates the
transcription of the target transgene; this technique is commonly used
for targeting expression of a gene to certain tissues or developmental
time points. In the other, the effector is a site-specific DNA
recombinase that rearranges the target gene, thereby activating or
silencing it.
|
|
YACs, BACs, PACs and chromosome engineering. Over the past 5 yr, significant new advances in the use of phage-based E. coli homologous recombination systems have been made, enabling genomic DNA in yeast, phage, and bacterial artificial chromosomes to be modified and subcloned without depending on restriction endonucleases or DNA ligases. This relatively new technique for genome and chromosome engineering is referred to as recombinogenic engineering or recombineering (36). As noted previously, targeted genetic mutation is a crucial part of the functional genomics in the mouse. However, until recently, the process of generating the targeting and selection constructs for homologous recombination in embryonic stem (ES) cells involved extensive, and often time-consuming, DNA cloning techniques that relied heavily on the presence of appropriate and unique restriction endonuclease cleavage sites. At times, this can be a formidable obstacle to constructing appropriate targeting vectors. In addition, recapitulating human disease-causing genetic mutations by deleting or rearranging megabase-sized regions of a chromosome is difficult to achieve with standard recombinant DNA techniques. Thus the recent development of yeast- and phage-based homologous recombination systems has greatly accelerated the pace of developing transgenic and knockout constructs and has made it possible to engineer large segments of genomic DNA, such as those carried on yeast artificial chromosomes (YACs), bacterial artificial chromosomes (BACs), or P1 artificial chromosomes (PACs).
Since at least 1993, it has been known that it is possible to mutate the yeast genome by deleting a yeast gene and replacing it with a selectable marker with the use of homologous recombination (4). This is possible because in Saccharomyces cerevisae there exists a very efficient DNA double-strand break and repair recombination pathway that recombines transformed, linear, double-stranded DNA with homologous sites in the yeast genome (50). Bradshaw and colleagues (7, 8) utilized this technique to generate, via homologous recombination, targeting vectors for mouse knockouts. They developed a shuttle vector named pClasper that is a plasmid that can be moved from yeast to bacteria. This enabled them to subclone DNA by gap repair in yeast, referred to as in vivo cloning, and then to transform pClasper into bacteria for production of sufficient quantities for use in generating transgenic mice (7, 8). More recently, systems have been developed for performing in vivo cloning in bacteria to modify DNA that is cloned into BAC and PAC vectors (reviewed in Ref. 11). Mutagenesis of BACs and PACs in E. coli enables an investigator to rapidly alter the structure of genes in their native contexts without the limitation of using restriction endonucleases and DNA ligases (Fig. 3). This allows the use of large segments of cloned DNA (200-300 kb). The systems that have been developed recently are based on the E. coli recA system (53) and on bacteriophage systems (27, 36). In fact, the technology now exists that enables one to mutagenize BAC DNA without the necessity for selection (49) and without leaving exogenous DNA at the mutated site (35, 37). These recombination methods greatly simplify the generation of transgenic and knockout constructs for use in gene function and regulation studies (1, 27). In addition, the in vivo identification of gene regulatory elements will be much easier with these recombineering techniques. This is particularly true for regulatory elements that are far from the genes that they regulate and for genes that are regulated by multiple, different regulators or combinations of regulators.
|
|
Chemical mutagenesis. Another type of genetic screen used in mice is a whole genome chemical mutagenesis screen. Chemical mutagenesis is a potent approach to generate a large mutant mouse resource and is a screen that focuses on phenotypes rather than on a specific gene, like targeted mutagenesis, or a specific chromosome or region of a chromosome, like chromosome engineering. In fact, chemical mutagenesis has the potential to generate a large number of genetic mutations with a similar phenotype. Additionally, because chemical mutagenesis has the ability to induce single-base changes in DNA, subtle mutations can be introduced in a gene that may be more informative about the gene's function than a null mutation. The most commonly used mutagen is N-ethyl-N-nitrosourea (ENU), a compound that causes single-point mutations by ethylation. ENU predominately modifies A/T base pairs and results in missense mutations 64% of the time, nonsense mutations 10% of the time, and splicing errors 26% of the time (21, 24). Male mice treated with ENU undergo effective mutagenesis in the early spermatogonial cells. Thus, after an initial sterile period, the males will continue to generate mutated sperm for the remainder of their reproductive life. In contrast to other mutagenesis techniques, such as targeted mutations, ENU produces point mutations that are randomly distributed in the genome, thereby providing a greater opportunity for uncovering phenotypic diversity at a particular genetic locus. Despite these advantages, one significant challenge in performing ENU mutagenesis is detecting the underlying mutation. This requires extensive backcrossing to follow the phenotype in parallel with simple sequence length polymorphism markers.
There are two types of whole genome genetic screens that utilize ENU mutagenesis (reviewed in Ref. 21). One screens for viable and fertile mutants that represent allelic series, modifiers, or dominant mutations. This screen is the easiest because it involves treating males with ENU, mating them with wild-type females, and analyzing the phenotype of the offspring. The second type screens for recessive mutations, which requires a three-generation cross. There are a number of genome-wide mutagenesis screens underway, and because of the recent completion of the mouse genome, interest in performing these types of phenotype-based screens is increasing.Identification of mammalian regulatory sequences. One of the important findings of the human genome project is that there is a significant amount of noncoding DNA. Although this noncoding DNA serves a number of different functions, a small fraction of it is felt to contain gene regulatory sequences. Until recently, despite their importance, these gene regulatory sequences have been quite difficult to identify. Classical techniques for identifying cis-regulatory sequences have involved a trial-and-error approach, including generation of deletion constructs for determining the minimal sequences needed for transcription in cell culture, DNase I hypersensitivity assays, DNA footprinting and gel shift assays, and the use of transgenic mice harboring reported gene constructs linked to various-sized genomic DNA fragments. However, these techniques have consisted largely of unguided searches of genomic sequence. However, with the completion of the human and mouse genomes and the genomes of other organisms that are well under way to completion, the use of computational methods provides new ways to screen the genome and accurately predict which sequences serve as gene regulators (reviewed in Ref. 39).
A relatively new approach to identifying mammalian gene regulatory sequences uses interspecies sequence comparison to identify highly conserved noncoding sequences, which are likely to be gene regulators. With the availability of sequence data from a number of different organisms, it has become apparent that noncoding sequences conserved across species often function experimentally as gene regulatory elements. Most often, species comparisons are performed between the mouse and human genomes, and studies based on these comparisons have been quite fruitful in identifying conserved DNA sequences as true regulatory sequences (15, 31, 47). These comparisons are made possible by the development of global alignment algorithms that align large genomic intervals and identify areas of conservation (3, 12). Two software programs developed for visualizing sequence alignment outputs are VISTA (32) and PIPmaker (43). These two programs, which are available on the Web, allow an investigator to analyze sequence data from two or more species and to visually identify noncoding regions that are conserved and that lie in the vicinity of genes of interest. One important issue to consider in using interspecies genomic comparisons is what species should be used in the comparison. Clearly, one factor that plays an important role is the availability of sequence from different species distant from human. In addition, from sequence comparisons performed already, it is becoming clear that different regions of the genome evolve independently from each other, some faster than others. For instance, available evidence suggests that the
-globin locus control
region has evolved quickly (15, 31), whereas the T-cell
receptor loci have evolved much more slowly (19, 25). In
regions that have evolved quickly, comparisons of closely related
mammals, such as human and mouse or whale, should allow easy
identification of conserved noncoding sequence. However, for regions
that have evolved much more slowly, it may be necessary to perform
comparisons between more distantly related mammals or nonmammalian
vertebrates (such as birds, reptiles, or fish) (48).
| |
FUTURE CHALLENGES |
|---|
|
|
|---|
Although these are exciting times in mouse genetics, there remain challenges for the future. One of the major challenges, which has already been alluded to, is closing what has been referred to the "phenotype gap" (9). This term refers to the large disparity between the number of genes to be mutated and the number of known mutant phenotypes. Clearly, large-scale mutatagenesis screens are a step in the right direction but will require improved methods for analyzing phenotypes and detecting physiological abnormalities in mice. High-throughput phenotype screens that utilize quantitative analytic methods are needed, which is a challenge in the mouse. Despite its superiority as a genetic model, the small size of the mouse is a challenge to performing quantitative physiological analyses. One area where some progress has been made is in the development of methods to detect abnormalities of the cardiovascular system. Miniaturization of analytic techniques that have been used in humans and larger animals have led to important advances in assaying cardiovascular traits in small animals such as the mouse (17, 18). Some of the techniques that have been adapted to mice include echocardiography, electrocardiography, telemetry, metabolic and hemodynamic exercise studies, and electrophysiological studies. Development of additional imaging technologies, such as mini-magnetic resonance and mini-computed tomography are needed.
One ongoing project that is of particular interest to physiologists is the Rat Genome Project. Early on, the mouse became the mammalian model of choice for geneticists, whereas the rat became the model of choice for physiologists. Rat strains have been selected and bred to have traits of biomedical interest, and, since the late 1800s, investigators have created more than 240 inbred rat strains that have a number of phenotypes, such as hypertension, immunologic defects, and cancer (20). An international effort at sequencing the rat genome is now underway and will be an extremely valuable resource of comparative genomics. Recently, a systems biology approach was used to study cardiovascular and renal phenotypes in the rat. Stoll et al. (44) analyzed 239 phenotypes and mapped 81 of those traits onto the genome, and aggregates of traits ("quantitative trait loci) were identified on four chromosomes (chromosomes 1, 2, 7, and 18). Interestingly, these investigators used a new analytical approach, which they term physiological profiling, to assess changes in the system biology of the cardiovascular system in response to allelic substitutions. These types of approaches hold great promise for closing the phenotype gap.
| |
FOOTNOTES |
|---|
Address for reprint requests and other correspondence: C. W. Bogue, Yale Child Health Research Center, Section of Critical Care and Applied Physiology, Dept. of Pediatrics, Yale Univ. School of Medicine, 464 Congress Ave., New Haven, CT 06519 (E-mail: clifford.bogue{at}yale.edu).
10.1152/japplphysiol.00209.2003
| |
REFERENCES |
|---|
|
|
|---|
1.
Angrand, PO,
Daigle N,
van der Hoeven F,
Scholer HR,
and
Stewart AF.
Simplified generation of targeting constructs using ET recombination.
Nucleic Acids Res
27:
e16,
1999
2.
Baron, U,
and
Bujard H.
Tet repressor-based system for regulated gene expression in eukaryotic cells: principles and advances.
Methods Enzymol
327:
401-421,
2000[Web of Science][Medline].
3.
Batzoglou, S,
Pachter L,
Mesirov JP,
Berger B,
and
Lander ES.
Human and mouse gene structure: comparative analysis and application to exon prediction.
Genome Res
10:
950-958,
2000
4.
Baudin, A,
Ozier-Kalogeropoulos O,
Denouel A,
Lacroute F,
and
Cullin C.
A simple and efficient method for direct gene deletion in Saccharomyces cerevisae.
Nucleic Acids Res
21:
3329-3330,
1993
5.
Beck, J,
Lloyd S,
Hafenparast M,
Lennon-Pierce M,
Eppig J,
Festing M,
and
Fisher E.
Genealogies of mouse inbred strains.
Nat Genet
24:
23-25,
2000[Web of Science][Medline].
6.
Botta, A,
Lindsay EA,
Jurecic V,
and
Baldini A.
Comparative mapping of the DiGeorge syndrome region in mouse shows inconsistent gene order and differential degree of gene conservation.
Mamm Genome
8:
890-895,
1997[Web of Science][Medline].
7.
Bradshaw, MS,
Bollekens JA,
and
Ruddle FH.
A new vector for recombination-based cloning of large DNA fragments from yeast artificial chromosomes.
Nucleic Acids Res
23:
4850-4856,
1995
8.
Bradshaw, MS,
Shashikant CS,
Belting HG,
Bollekens JA,
and
Ruddle FH.
A long-range regulatory element of Hoxc8 identified by using the pClasper vector.
Proc Natl Acad Sci USA
93:
2426-2430,
1996
9.
Brown, SD,
and
Peters J.
Combining mutagenesis and genomics in the mouse
closing the phenotype gap.
Trends Genet
12:
433-435,
1996[Web of Science][Medline].
10.
Byrne, GW,
and
Ruddle FH.
Multiplex gene regulation: a two-tiered approach to transgene regulation in transgenic mice.
Proc Natl Acad Sci USA
86:
5473-5477,
1989
11.
Copeland, NG,
Jenkins NA,
and
Court DL.
Recombineering: a powerful new tool for mouse functional genomics.
Nat Rev Genet
2:
769-779,
2001[Web of Science][Medline].
12.
Delcher, AL,
Kasif S,
Fleischmann RD,
Peterson J,
White O,
and
Salzberg SL.
Alignment of whole genomes.
Nucleic Acids Res
27:
2369-2376,
1999
13.
Gossen, M,
and
Bujard H.
Tight control of gene expression in mammalian cells by tetracycline-responsive promoters.
Proc Natl Acad Sci USA
89:
5547-5551,
1992
14.
Gossen, M,
Freundlieb S,
Bender G,
Muller G,
Hillen W,
and
Bujard H.
Transcriptional activation by tetracyclines in mammalian cells.
Science
268:
1766-1769,
1995
15.
Gottgens, B,
Barton LM,
Gilbert JG,
Bench AJ,
Sanchez MJ,
Bahn S,
Mistry S,
Grafham D,
McMurray A,
Vaudin M,
Amaya E,
Bentley DR,
Green AR,
and
Sinclair AM.
Analysis of vertebrate SCL loci identifies conserved enhancers.
Nat Biotechnol
18:
181-186,
2000[Web of Science][Medline].
16.
Haldane, JBS,
Sprunt AD,
and
Haldan NM.
Reduplication in mice.
J Genet
5:
133-135,
1915[Web of Science].
17.
Hoit, BD,
Kiatchoosakun S,
Restivo J,
Kirkpatrick D,
Olszens K,
Shao H,
Pao YH,
and
Nadeau JH.
Naturally occurring variation in cardiovascular traits among inbred mouse strains.
Genomics
79:
679-685,
2002[Web of Science][Medline].
18.
Hoit, BD,
and
Nadeau JH.
Phenotype-driven genetic approaches in mice: high-throughput phenotyping for discovering new models of cardiovascular disease.
Trends Cardiovasc Med
11:
82-89,
2001[Web of Science][Medline].
19.
Hood, L,
Koop BF,
Rowen L,
and
Wang K.
Human and mouse T-cell-receptor loci: the importance of comparative large-scale DNA sequence analyses.
Cold Spring Harb Symp Quant Biol
58:
339-348,
1993
20.
Jacob, HJ,
and
Kwitek AE.
Rat genetics: attaching physiology and pharmacology to the genome.
Nat Rev Genet
3:
33-42,
2002[Web of Science][Medline].
21.
Justice, MJ,
Carpenter DA,
Favor J,
Neuhauser-Klaus A,
Hrabe de Angelis M,
Soewarto D,
Moser A,
Cordes S,
Miller D,
Chapman V,
Weber JS,
Rinchik EM,
Hunsicker PR,
Russell WL,
and
Bode VC.
Effects of ENU dosage on mouse strains.
Mamm Genome
11:
484-488,
2000[Web of Science][Medline].
22.
Justice, MJ,
Zheng B,
Woychik RP,
and
Bradley A.
Using targeted large deletions and high-efficiency N-ethyl-N-nitrosourea mutagenesis for functional analyses of the mammalian genome.
Methods
13:
423-436,
1997[Web of Science][Medline].
23.
Keeler, CE.
The Laboratory Mouse: Its Origin, Heredity and Culture. Cambridge, MA: Harvard Univ. Press, 1931.
24.
Klysik, J.
Mice and humans: chromosome engineering and its application to functional genomics.
Acta Biochim Pol
49:
553-569,
2002[Web of Science][Medline].
25.
Koop, BF,
and
Hood L.
Striking sequence similarity over almost 100 kilobases of human and mouse T-cell receptor DNA.
Nat Genet
7:
48-53,
1994[Web of Science][Medline].
26.
Lander, ES,
Linton LM,
Birren B,
Nusbaum C,
Zody MC,
Baldwin J,
Devon K,
Dewar K,
Doyle M,
FitzHugh W,
Funke R,
Gage D,
Harris K,
Heaford A,
Howland J,
Kann L,
Lehoczky J,
LeVine R,
McEwan P,
McKernan K,
Meldrim J,
Mesirov JP,
Miranda C,
Morris W,
Naylor J,
Raymond C,
Rosetti M,
Santos R,
Sheridan A,
Sougnez C,
Stange-Thomann N,
Stojanovic N,
Subramanian A,
Wyman D,
Rogers J,
Sulston J,
Ainscough R,
Beck S,
Bentley D,
Burton J,
Clee C,
Carter N,
Coulson A,
Deadman R,
Deloukas P,
Dunham A,
Dunham I,
Durbin R,
French L,
Grafham D,
Gregory S,
Hubbard T,
Humphray S,
Hunt A,
Jones M,
Lloyd C,
McMurray A,
Matthews L,
Mercer S,
Milne S,
Mullikin JC,
Mungall A,
Plumb R,
Ross M,
Shownkeen R,
Sims S,
Waterston RH,
Wilson RK,
Hillier LW,
McPherson JD,
Marra MA,
Mardis ER,
Fulton LA,
Chinwalla AT,
Pepin KH,
Gish WR,
Chissoe SL,
Wendl MC,
Delehaunty KD,
Miner TL,
Delehaunty A,
Kramer JB,
Cook LL,
Fulton RS,
Johnson DL,
Minx PJ,
Clifton SW,
Hawkins T,
Branscomb E,
Predki P,
Richardson P,
Wenning S,
Slezak T,
Doggett N,
Cheng JF,
Olsen A,
Lucas S,
Elkin C,
Uberbacher E,
Frazier M,
Initial sequencing and analysis of the human genome.
Nature
409:
860-921,
2001[Medline].
27.
Lee, EC,
Yu D,
Martinez de Velasco J,
Tessarollo L,
Swing DA,
Court DL,
Jenkins NA,
and
Copeland NG.
A highly efficient Escherichia coli-based chromosome engineering system adapted for recombinogenic targeting and subcloning of BAC DNA.
Genomics
73:
56-65,
2001[Web of Science][Medline].
28.
Lewandoski, M.
Conditional control of gene expression in the mouse.
Nat Rev Genet
2:
743-755,
2001[Web of Science][Medline].
29.
Lindsay, EA,
Botta A,
Jurecic V,
Carattini-Rivera S,
Cheah YC,
Rosenblatt HM,
Bradley A,
and
Baldini A.
Congenital heart disease in mice deficient for the DiGeorge syndrome region.
Nature
401:
379-383,
1999[Medline].
30.
Lindsay, EA,
Vitelli F,
Su H,
Morishima M,
Huynh T,
Pramparo T,
Jurecic V,
Ogunrinu G,
Sutherland HF,
Scambler PJ,
Bradley A,
and
Baldini A.
Tbx1 haploinsufficieny in the DiGeorge syndrome region causes aortic arch defects in mice.
Nature
410:
97-101,
2001[Medline].
31.
Loots, GG,
Locksley RM,
Blankespoor CM,
Wang ZE,
Miller W,
Rubin EM,
and
Frazer KA.
Identification of a coordinate regulator of interleukins 4, 13, and 5 by cross-species sequence comparisons.
Science
288:
136-140,
2000
32.
Mayor, C,
Brudno M,
Schwartz JR,
Poliakov A,
Rubin EM,
Frazer KA,
Pachter LS,
and
Dubchak I.
VISTA: visualizing global DNA sequence alignments of arbitrary length.
Bioinformatics
16:
1046-1047,
2000
33.
Mills, AA,
and
Bradley A.
From mouse to man: generating megabase chromosome rearrangements.
Trends Genet
17:
331-339,
2001[Web of Science][Medline].
34.
Morse, H.
The Mouse in Biomedical Research. New York: Academic, 1981.
35.
Muyrers, JP,
Zhang Y,
Benes V,
Testa G,
Ansorge W,
and
Stewart AF.
Point mutation of bacterial artificial chromosomes by ET recombination.
EMBO J
1:
239-243,
2000.
36.
Muyrers, JP,
Zhang Y,
and
Stewart AF.
Techniques: recombinogenic engineering
new options for cloning and manipulating DNA.
Trends Biochem Sci
26:
325-331,
2001[Web of Science][Medline].
37.
Nefedov, M,
Williamson R,
and
Ioannou PA.
Insertion of disease-causing mutations in BACs by homologous recombination in Escherichia coli.
Nucleic Acids Res
28:
E79,
2000
38.
O'Gorman, S,
Fox DT,
and
Wahl GM.
Recombinase-mediated gene activation and site-specific integration in mammalian cells.
Science
251:
1351-1355,
1991
39.
Pennacchio, LA,
and
Rubin EM.
Genomic strategies to identify mammalian regulatory sequences.
Nat Rev Genet
2:
100-109,
2001[Web of Science][Medline].
40.
Ramirez-Solis, R,
Liu P,
and
Bradley A.
Chromosome engineering in mice.
Nature
378:
720-724,
1995[Medline].
41.
Roebroek, AJ,
Wu X,
and
Bram RJ.
Knockin approaches.
Methods Mol Biol
209:
187-200,
2003[Medline].
42.
Sauer, B,
and
Henderson N.
Cre-stimulated recombination at loxP-containing DNA sequences placed into the mammalian genome.
Nucleic Acids Res
17:
147-161,
1989
43.
Schwartz, S,
Zhang Z,
Frazer KA,
Smit A,
Riemer C,
Bouck J,
Gibbs R,
Hardison R,
and
Miller W.
PipMaker
a web server for aligning two genomic DNA sequences.
Genome Res
10:
577-586,
2000
44.
Shastry, BS.
Gene disruption in mice: models of development and disease.
Mol Cell Biochem
181:
163-179,
1998[Web of Science][Medline].
45.
Silver, L.
Mouse Genetics. New York: Oxford Univ. Press, 1995.
46.
Smith, AJ,
De Sousa MA,
Kwabi-Addo B,
Heppell-Parton A,
Impey H,
and
Rabbitts P.
A site-directed chromosomal translocation induced in embryonic stem cells by Cre-loxP recombination.
Nat Genet
9:
376-385,
1995[Web of Science][Medline].
46a.
Stoll, M,
Cowley AW, Jr,
Tonellato PJ,
Greene AS,
Kaldunski ML,
Roman RJ,
Dumas P,
Schork NJ,
Wang Z,
and
Jacob HJ.
A genomic-systems biology map for cardiovascular function.
Science
294:
1723-1726,
2001
47.
Sumiyama, K,
Irvine SQ,
Stock DW,
Weiss KM,
Kawasaki K,
Shimizu N,
Shashikant CS,
Miller W,
and
Ruddle FH.
Genomic structure and functional control of the Dlx3-7 bigene cluster.
Proc Natl Acad Sci USA
99:
780-785,
2002
48.
Sumiyama, K,
Kim CB,
and
Ruddle FH.
An efficient cis-element discovery method using multiple sequence comparisons based on evolutionary relationships.
Genomics
71:
260-262,
2001[Web of Science][Medline].
49.
Swaminathan, S,
Ellis HM,
Waters LS,
Yu D,
Lee EC,
Court DL,
and
Sharan SK.
Rapid engineering of bacterial artificial chromosomes using oligonucleotides.
Genesis
29:
14-21,
2001[Web of Science][Medline].
50.
Szostak, JW,
Orr-Weaver TL,
Rothstein RJ,
and
Stahl FW.
The double-strand-break repair model for recombination.
Cell
33:
25-35,
1983[Web of Science][Medline].
51.
Venter, JC,
Adams MD,
Myers EW,
Li PW,
Mural RJ,
Sutton GG,
Smith HO,
Yandell M,
Evans CA,
Holt RA,
Gocayne JD,
Amanatides P,
Ballew RM,
Huson DH,
Wortman JR,
Zhang Q,
Kodira CD,
Zheng XH,
Chen L,
Skupski M,
Subramanian G,
Thomas PD,
Zhang J,
Gabor Miklos GL,
Nelson C,
Broder S,
Clark AG,
Nadeau J,
McKusick VA,
Zinder N,
Levine AJ,
Roberts RJ,
Simon M,
Slayman C,
Hunkapiller M,
Bolanos R,
Delcher A,
Dew I,
Fasulo D,
Flanigan M,
Florea L,
Halpern A,
Hannenhalli S,
Kravitz S,
Levy S,
Mobarry C,
Reinert K,
Remington K,
Abu-Threideh J,
Beasley E,
Biddick K,
Bonazzi V,
Brandon R,
Cargill M,
Chandramouliswaran I,
Charlab R,
Chaturvedi K,
Deng Z,
Di Francesco V,
Dunn P,
Eilbeck K,
Evangelista C,
Gabrielian AE,
Gan W,
Ge W,
Gong F,
Gu Z,
Guan P,
Heiman TJ,
Higgins ME,
Ji RR,
Ke Z,
Ketchum KA,
Lai Z,
Lei Y,
Li Z,
Li J,
Liang Y,
Lin X,
Lu F,
Merkulov GV,
Milshina N,
Moore HM,
Naik AK,
Narayan VA,
Neelam B,
Nusskern D,
Rusch DB,
Salzberg S,
Shao W,
Shue B,
Sun J,
Wang Z,
Wang A,
Wang X,
Wang J,
Wei M,
Wides R,
Xiao C,
Yan C,
The sequence of the human genome.
Science
291:
1304-1351,
2001
52.
Waterston, RH,
Lindblad-Toh K,
Birney E,
Rogers J,
Abril JF,
Agarwal P,
Agarwala R,
Ainscough R,
Alexandersson M,
An P,
Antonarakis SE,
Attwood J,
Baertsch R,
Bailey J,
Barlow K,
Beck S,
Berry E,
Birren B,
Bloom T,
Bork P,
Botcherby M,
Bray N,
Brent MR,
Brown DG,
Brown SD,
Bult C,
Burton J,
Butler J,
Campbell RD,
Carninci P,
Cawley S,
Chiaromonte F,
Chinwalla AT,
Church DM,
Clamp M,
Clee C,
Collins FS,
Cook LL,
Copley RR,
Coulson A,
Couronne O,
Cuff J,
Curwen V,
Cutts T,
Daly M,
David R,
Davies J,
Delehaunty KD,
Deri J,
Dermitzakis ET,
Dewey C,
Dickens NJ,
Diekhans M,
Dodge S,
Dubchak I,
Dunn DM,
Eddy SR,
Elnitski L,
Emes RD,
Eswara P,
Eyras E,
Felsenfeld A,
Fewell GA,
Flicek P,
Foley K,
Frankel WN,
Fulton LA,
Fulton RS,
Furey TS,
Gage D,
Gibbs RA,
Glusman G,
Gnerre S,
Goldman N,
Goodstadt L,
Grafham D,
Graves TA,
Green ED,
Gregory S,
Guigo R,
Guyer M,
Hardison RC,
Haussler D,
Hayashizaki Y,
Hillier LW,
Hinrichs A,
Hlavina W,
Holzer T,
Hsu F,
Hua A,
Hubbard T,
Hunt A,
Jackson I,
Jaffe DB,
Johnson LS,
Jones M,
Jones TA,
Joy A,
Kamal M,
Karlsson EK,
Initial sequencing and comparative analysis of the mouse genome.
Nature
420:
520-562,
2002[Medline].
53.
Yang, XW,
Model P,
and
Heintz N.
Homologous recombination based modification in Escherichia coli and germline transmission in transgenic mice of a bacterial artificial chromosome.
Nat Biotechnol
15:
859-865,
1997[Web of Science][Medline].
54.
Zheng, B,
Mills AA,
and
Bradley A.
A system for rapid generation of coat color-tagged knockouts and defined chromosomal rearrangements in mice.
Nucleic Acids Res
27:
2354-2360,
1999
This article has been cited by other articles:
![]() |
R Thon, H Vondeling, J Lassen, A K Hansen, and M Ritskes-Hoitinga An interview study of phenotypic characterization of genetically-modified mice Lab Anim, July 1, 2009; 43(3): 278 - 283. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Lydic Sleep disruption is related to allelic variation in the ob gene Am J Physiol Regulatory Integrative Comp Physiol, April 1, 2006; 290(4): R892 - R893. [Full Text] [PDF] |
||||
![]() |
C. L. Douglas, G. N. Bowman, H. A. Baghdoyan, and R. Lydic C57BL/6J and B6.V-LEPOB mice differ in the cholinergic modulation of sleep and breathing J Appl Physiol, March 1, 2005; 98(3): 918 - 929. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Visit Other APS Journals Online |