Loss-of-function mutations in growth differentiation factor-1 (GDF1) are associated with congenital heart defects in humans.

Congenital heart defects (CHDs) are among the most common birth defects in humans (incidence 8-10 per 1,000 live births). Although their etiology is often poorly understood, most are considered to arise from multifactorial influences, including environmental and genetic components, as well as from less common syndromic forms. We hypothesized that disturbances in left-right patterning could contribute to the pathogenesis of selected cardiac defects by interfering with the extrinsic cues leading to the proper looping and vessel remodeling of the normally asymmetrically developed heart and vessels. Here, we show that heterozygous loss-of-function mutations in the human GDF1 gene contribute to cardiac defects ranging from tetralogy of Fallot to transposition of the great arteries and that decreased TGF- beta signaling provides a framework for understanding their pathogenesis. These findings implicate perturbations of the TGF- beta signaling pathway in the causation of a major subclass of human CHDs.

Essential structural and functional determinants within the forkhead domain of FOXC1.

The forkhead domain (FHD)-containing developmental transcription factor FOXC1 is mutated in patients presenting with Axenfeld-Rieger malformations. In this paper, we report the introduction of positive, negative or neutral charged amino acids into critical positions within the forkhead domain of FOXC1 in an effort to better understand the essential structural and functional determinants within the FHD. We found that FOXC1 is intolerant of mutations at I87. Additionally, alterations of amino acids within alpha-helix 1 of the FOXC1 FHD affected both nuclear localization and transactivation. Amino acids within alpha-helix 3 were also found to be necessary for transactivation and can have roles in correct localization. Interestingly, changing amino acids within alpha-helix 3, particularly R127, resulted in altered DNA-binding specificity and granted FOXC1 the ability to bind to a novel DNA sequence. Given the limited topological variation of FHDs, due to the high conservation of residues, we anticipate that models of forkhead domain function derived from these data will be relevant to other members of the FOX family of transcription factors.

GeneMachine: gene prediction and sequence annotation.

MOTIVATION: A number of free-standing programs have been developed in order to help researchers find potential coding regions and deduce gene structure for long stretches of what is essentially 'anonymous DNA'. As these programs apply inherently different criteria to the question of what is and is not a coding region, multiple algorithms should be used in the course of positional cloning and positional candidate projects to assure that all potential coding regions within a previously-identified critical region are identified. RESULTS: We have developed a gene identification tool called GeneMachine which allows users to query multiple exon and gene prediction programs in an automated fashion. BLAST searches are also performed in order to see whether a previously-characterized coding region corresponds to a region in the query sequence. A suite of Perl programs and modules are used to run MZEF, GENSCAN, GRAIL 2, FGENES, RepeatMasker, Sputnik, and BLAST. The results of these runs are then parsed and written into ASN.1 format. Output files can be opened using NCBI Sequin, in essence using Sequin as both a workbench and as a graphical viewer. The main feature of GeneMachine is that the process is fully automated; the user is only required to launch GeneMachine and then open the resulting file with Sequin. Annotations can then be made to these results prior to submission to GenBank, thereby increasing the intrinsic value of these data. AVAILABILITY: GeneMachine is freely-available for download at http://genome.nhgri.nih.gov/genemachine. A public Web interface to the GeneMachine server for academic and not-for-profit users is available at http://genemachine.nhgri.nih.gov. The Web supplement to this paper may be found at http://genome.nhgri.nih.gov/genemachine/supplement/.

Molecular evolution of the homeodomain family of transcription factors.

The homeodomain family of transcription factors plays a fundamental role in a diverse set of functions that include body plan specification, pattern formation and cell fate determination during metazoan development. Members of this family are characterized by a helix-turn-helix DNA-binding motif known as the homeodomain. Homeodomain proteins regulate various cellular processes by specifically binding to the transcriptional control region of a target gene. These proteins have been conserved across a diverse range of species, from yeast to human. A number of inherited human disorders are caused by mutations in homeodomain-containing proteins. In this study, we present an evolutionary classification of 129 human homeodomain proteins. Phylogenetic analysis of these proteins, whose sequences were aligned based on the three-dimensional structure of the homeodomain, was performed using a distance matrix approach. The homeodomain proteins segregate into six distinct classes, and this classification is consistent with the known functional and structural characteristics of these proteins. An ancestral sequence signature that accurately describes the unique sequence characteristics of each of these classes has been derived. The phylogenetic analysis, coupled with the chromosomal localization of these genes, provides powerful clues as to how each of these classes arose from the ancestral homeodomain.

Cloning and characterization of 13 novel transcripts and the human RGS8 gene from the 1q25 region encompassing the hereditary prostate cancer (HPC1) locus.

The aim of this study was to develop a saturated transcript map of the region encompassing the HPC1 locus to identify the susceptibility genes involved in hereditary prostate cancer (OMIM 176807) and hyperparathyroidism-jaw tumor syndrome (OMIM 145001). We previously reported the generation of a 6-Mb BAC/PAC contig of the candidate region and employed various strategies, such as database searching, exon-trapping, direct cDNA hybridization, and sample sequencing of BACs, to identify all potential transcripts. These efforts led to the identification and precise localization on the BAC contig of 59 transcripts representing 22 known genes and 37 potential transcripts represented by ESTs and exon traps. Here we report the detailed characterization of these ESTs into full-length transcript sequences, their expression pattern in various tissues, their genomic organization, and their homology to known genes. We have also identified an Alu insertion polymorphism in the intron of one of the transcripts. Overall, data on 13 novel transcripts and the human RGS8 gene (homologue of the rat RGS8 gene) are presented in this paper. Ten of the 13 novel transcripts are expressed in prostate tissue and represent positional candidates for HPC1.

Analyses of the effects that disease-causing missense mutations have on the structure and function of the winged-helix protein FOXC1.

Five missense mutations of the winged-helix FOXC1 transcription factor, found in patients with Axenfeld-Rieger (AR) malformations, were investigated for their effects on FOXC1 structure and function. Molecular modeling of the FOXC1 forkhead domain predicted that the missense mutations did not alter FOXC1 structure. Biochemical analyses indicated that, whereas all mutant proteins correctly localize to the cell nucleus, the I87M mutation reduced FOXC1-protein levels. DNA-binding experiments revealed that, although the S82T and S131L mutations decreased DNA binding, the F112S and I126M mutations did not. However, the F112S and I126M mutations decrease the transactivation ability of FOXC1. All the FOXC1 mutations had the net effect of reducing FOXC1 transactivation ability. These results indicate that the FOXC1 forkhead domain contains separable DNA-binding and transactivation functions. In addition, these findings demonstrate that reduced stability, DNA binding, or transactivation, all causing a decrease in the ability of FOXC1 to transactivate genes, can underlie AR malformations.

The Molecular Biology Database Collection: an updated compilation of biological database resources.

The Molecular Biology Database Collection is an online resource listing key databases of value to the biological community. This Collection is intended to bring fellow scientists' attention to high-quality databases that are available throughout the world, rather than just be a lengthy listing of all available databases. As such, this up-to-date listing is intended to serve as the initial point from which to find specialized databases that may be of use in biological research. The databases included in this Collection provide new value to the underlying data by virtue of curation, new data connections or other innovative approaches. Short, searchable summaries of each of the databases included in the Collection are available through the Nucleic Acids Research Web site, at http://www. nar.oupjournals.org.

The Homeodomain Resource: sequences, structures, DNA binding sites and genomic information.

The Homeodomain Resource is an annotated collection of non-redundant protein sequences, three-dimensional structures and genomic information for the homeodomain protein family. Release 3.0 contains 795 full-length homeodomain-containing sequences, 32 experimentally-derived structures and 143 homeo-box loci implicated in human genetic disorders. Entries are fully hyperlinked to facilitate easy retrieval of the original records from source databases. A simple search engine with a graphical user interface is provided to query the component databases and assemble customized data sets. A new feature for this release is the addition of DNA recognition sites for all human homeodomain proteins described in the literature. The Homeodomain Resource is freely available through the World Wide Web at http://genome.nhgri.nih.gov/homeodomain.

Internet basics for biologists.

With the explosion of sequence and structural information available to researchers, the field of bioinformatics is playing an increasingly large role in the study of fundamental biomedical problems. The challenge facing computational biologists will be to aid in gene discovery and in the design of molecular modeling, site-directed mutagenesis, and experiments of other types that can potentially reveal previously unknown relationships with respect to the structure and function of genes and proteins. This appendix begins with a review of the Internet and its terminology, also discussing major classes of Internet protocols, without becoming overly engaged in the engineering minutiae underlying these protocols. This appendix also discusses matters of connectivity, ranging from simple modem connections to digital subscriber lines (DSL). Finally, one of the most common problems that has arisen with the proliferation of Web pages throughout the worldWith the explosion of sequence and structural information available to researchers, the field of bioinformatics is playing.

Gene identification: methods and considerations.

This unit introduces readers to some of the more commonly used techniques for gene identification. The author discusses the general problem behind accurately predicting genes in both prefinished and finished sequence data, provides a handson description of programs available in the public domain, and suggests strategies for how to best tackle the prediction problem at various stages of data generation and assembly. This unit introduces readers to some of the more commonly used techniques for gene identification.

Internet basics.

With the explosion of sequence and structural information available to researchers, the field of bioinformatics is playing an increasingly large role in the study of fundamental biomedical problems. The challenge facing computational biologists will be to aid in gene discovery and in the design of molecular modeling, site-directed mutagenesis, and experiments of other types that can potentially reveal previously unknown relationships with respect to the structure and function of genes and proteins. This challenge becomes particularly daunting in light of the vast amount of data that has been produced by the Human Genome Project and other systematic sequencing efforts to date. This unit begins with a review of the Internet and its terminology, also discussing major classes of Internet protocols, without becoming overly engaged in the engineering minutiae underlying these protocols. Matters of connectivity, ranging from simple modem connections to digital subscriber lines (DSL) are also discussed. Finally, one of the most common problems that has arisen with the proliferation of Web pages throughout the world is addressed--i.e., finding useful information on the World Wide Web.

Internet basics for biologists.

With the explosion of sequence and structural information available to researchers, the field of bioinformatics is playing an increasingly large role in the study of fundamental biomedical problems. This information is generally available through the Internet and access to the World Wide Web. This unit provides an introduction to the internet-how it is organized, how you connect to it, using email and file transfer protocols, and finding your way around the Web.

Internet basics for biologists.

Before embarking on any practical discussion of computational methods in solving biological problems, it is necessary to lay the common groundwork that will enable users to both access and implement the algorithms and tools discussed in this book. This unit begins with a review of the Internet and its terminology, and also discusses major classes of Internet protocols, without becoming overly engaged in the engineering minutiae underlying these protocols. This unit also discusses matters of connectivity, ranging from simple modem connections to digital subscriber lines (DSL). Finally, one of the most common problems that has arisen with the proliferation of Web pages throughout the world is addressed, i.e., finding useful information on the World Wide Web.

Mutation of a gene encoding a putative chaperonin causes McKusick-Kaufman syndrome.

McKusick-Kaufman syndrome (MKKS, MIM 236700) is a human developmental anomaly syndrome comprising hydrometrocolpos (HMC), postaxial polydactyly (PAP) and congenital heart disease (CHD). MKKS has been mapped in the Old Order Amish population to 20p12, between D20S162 and D20S894 (ref. 3). Here we describe the identification of a gene mutated in MKKS. We analysed the approximately 450-kb candidate region by sample sequencing, which revealed the presence of several known genes and EST clusters. We evaluated candidate transcripts by northern-blot analysis of adult and fetal tissues. We selected one transcript with widespread expression, MKKS, for analysis in a patient from the Amish pedigree and a sporadic, non-Amish case. The Old Order Amish patient was found to be homozygous for an allele that had two missense substitutions and the non-Amish patient was a compound heterozygote for a frameshift mutation predicting premature protein truncation and a distinct missense mutation. The MKKS predicted protein shows amino acid similarity to the chaperonin family of proteins, suggesting a role for protein processing in limb, cardiac and reproductive system development. We believe that this is the first description of a human disorder caused by mutations affecting a putative chaperonin molecule.

The human RGL (RalGDS-like) gene: cloning, expression analysis and genomic organization.

Ral GDP dissociation stimulator (RalGDS) and its family members RGL, RLF and RGL2 are involved in Ras and Ral signaling pathways as downstream effector proteins. Here we report the precise localization and cloning of two forms of human RGL gene differing at the amino terminus. Transcript A, cloned from liver cDNA libraries has the same amino terminus as the mouse RGL, whereas transcript B cloned from brain has a substitution of 45 amino acids for the first nine amino acids. At the genomic level, exon 1 of transcript A is replaced by two alternative exons (1B1 and 1B2) in transcript B. Both forms share exons 2 through 18. The human RGL protein shares 94% amino acid identity with the mouse protein. Northern blot analysis shows that human RGL is expressed in a wide variety of tissues with strong expression being seen in the heart, brain, kidney, spleen and testis.