Biomedical subjects

Ian J Donaldson

Publications and source records attributed to Ian J Donaldson.

15 recordsLinked to original sources

PubMed2007

The SCL transcriptional network and BMP signaling pathway interact to regulate RUNX1 activity.

Hematopoietic stem cell (HSC) development is regulated by several signaling pathways and a number of key transcription factors, which include Scl/Tal1, Runx1, and members of the Smad family. However, it remains unclear how these various determinants interact. Using a genome-wide computational screen based on the well characterized Scl +19 HSC enhancer, we have identified a related Smad6 enhancer that also targets expression to blood and endothelial cells in transgenic mice. Smad6, Bmp4, and Runx1 transcripts are concentrated along the ventral aspect of the E10.5 dorsal aorta in the aorta-gonad-mesonephros region from which HSCs originate. Moreover, Smad6, an inhibitor of Bmp4 signaling, binds and inhibits Runx1 activity, whereas Smad1, a positive mediator of Bmp4 signaling, transactivates the Runx1 promoter. Taken together, our results integrate three key determinants of HSC development; the Scl transcriptional network, Runx1 activity, and the Bmp4/Smad signaling pathway.

Animals↗

PubMed2006

CoMoDis: composite motif discovery in mammalian genomes.

Specificity of mammalian gene regulatory regions is achieved to a large extent through the combinatorial binding of sets of transcription factors to distinct binding sites, discrete combinations of which are often referred to as regulatory modules. Identification and subsequent characterization of gene regulatory modules will be a key step in assembling transcriptional regulatory networks from gene expression profiling data, with the ultimate goal of unravelling the regulatory codes that govern gene expression in various cell types. Here we describe the new bioinformatics tool, Composite Motif Discovery (CoMoDis), which streamlines computational identification of novel regulatory modules starting from a single seed motif. Seed motifs represent binding sites conserved across mammalian species. CoMoDis facilitates novel motif discovery by automating the extraction of DNA sequences flanking seed motifs and streamlining downstream motif discovery using a variety of tools, including several that utilize phylogenetic conservation criteria. CoMoDis is available at http://hscl.cimr.cam.ac.uk/CoMoDis_portal.html.

Animals↗

PubMed2006

The paralogous hematopoietic regulators Lyl1 and Scl are coregulated by Ets and GATA factors, but Lyl1 cannot rescue the early Scl-/- phenotype.

Transcription factors are key regulators of hematopoietic stem cells (HSCs), yet the molecular mechanisms that control their expression are largely unknown. Previously, we demonstrated that expression of Scl/Tal1, a transcription factor required for the specification of HSCs, is controlled by Ets and GATA factors. Here we characterize the molecular mechanisms controlling expression of Lyl1, a paralog of Scl also required for HSC function. Two closely spaced promoters directed expression to hematopoietic progenitor, megakaryocytic, and endothelial cells in transgenic mice. Conserved binding sites required for promoter activity were bound in vivo by GATA-2 and the Ets factors Fli1, Elf1, Erg, and PU.1. However, despite coregulation of Scl and Lyl1 by the same Ets and GATA factors, Scl expression was initiated prior to Lyl1 in embryonic stem (ES) cell differentiation assays. Moreover, ectopic expression of Scl but not Lyl1 rescued hematopoietic differentiation in Scl-/- ES cells, thus providing a molecular explanation for the vastly different phenotypes of Scl-/- and Lyl1-/- mouse embryos. Furthermore, coregulation of Scl and Lyl1 later during development may explain the mild phenotype of Scl-/- adult HSCs.

Amino Acid Sequence↗

PubMed2006

Identifying gene regulatory elements by genomic microarray mapping of DNaseI hypersensitive sites.

The identification of cis-regulatory elements is central to understanding gene transcription. Hypersensitivity of cis-regulatory elements to digestion with DNaseI remains the gold-standard approach to locating such elements. Traditional methods used to identify DNaseI hypersensitive sites are cumbersome and can only be applied to short stretches of DNA at defined locations. Here we report the development of a novel genomic array-based approach to DNaseI hypersensitive site mapping (ADHM) that permits precise, large-scale identification of such sites from as few as 5 million cells. Using ADHM we identified all previously recognized hematopoietic regulatory elements across 200 kb of the mouse T-cell acute lymphocytic leukemia-1 (Tal1) locus, and, in addition, identified two novel elements within the locus, which show transcriptional regulatory activity. We further validated the ADHM protocol by mapping the DNaseI hypersensitive sites across 250 kb of the human TAL1 locus in CD34+ primary stem/progenitor cells and K562 cells and by mapping the previously known DNaseI hypersensitive sites across 240 kb of the human alpha-globin locus in K562 cells. ADHM provides a powerful approach to identifying DNaseI hypersensitive sites across large genomic regions.

Algorithms↗

PubMed2006

Identification of the REST regulon reveals extensive transposable element-mediated binding site duplication.

The genome-wide mapping of gene-regulatory motifs remains a major goal that will facilitate the modelling of gene-regulatory networks and their evolution. The repressor element 1 is a long, conserved transcription factor-binding site which recruits the transcriptional repressor REST to numerous neuron-specific target genes. REST plays important roles in multiple biological processes and disease states. To map RE1 sites and target genes, we created a position specific scoring matrix representing the RE1 and used it to search the human and mouse genomes. We identified 1301 and 997 RE1s inhuman and mouse genomes, respectively, of which >40% are novel. By employing an ontological analysis we show that REST target genes are significantly enriched in a number of functional classes. Taking the novel REST target gene CACNA1A as an experimental model, we show that it can be regulated by multiple RE1s of different binding affinities, which are only partially conserved between human and mouse. A novel BLAST methodology indicated that many RE1s belong to closely related families. Most of these sequences are associated with transposable elements, leading us to propose that transposon-mediated duplication and insertion of RE1s has led to the acquisition of novel target genes by REST during evolution.

Animals↗

PubMed2006

TFBScluster web server for the identification of mammalian composite regulatory elements.

Identification of transcriptional regulatory elements represents a critical step in our ability to reconstruct transcriptional regulatory networks from gene expression profiling datasets. To facilitate computational identification of candidate gene regulatory elements from whole genome sequences, we have developed the TFBScluster web server that integrates several tools for the genome-wide identification and subsequent characterization of transcription factor binding site clusters that are conserved in multiple mammalian species. Either the human or mouse genomes can be used as the reference sequence with direct links from the search results to the ENSEMBL and UCSC genome browsers. Moreover, TFBScluster provides seamless integration of transcription factor binding site searches with genome annotation and gene expression profiling data, to allow prioritising computational predictions for subsequent experimental validation. TFBScluster is publicly available at http://hscl.cimr.cam.ac.uk/TFBScluster_genome_portal.html.

Animals↗

PubMed2006

Endoglin expression in the endothelium is regulated by Fli-1, Erg, and Elf-1 acting on the promoter and a -8-kb enhancer.

Angiogenesis is critical to the growth and regeneration of tissue but is also a key component of tumor growth and chronic inflammatory disorders. Endoglin plays a key role in angiogenesis by modulating cellular responses to transforming growth factor-beta (TGF-beta) signaling and is upregulated in proliferating endothelial cells. To gain insights into the transcriptional hierarchies that govern endoglin expression, we used a combination of comparative genomic, biochemical, and transgenic approaches. Both the promoter and a region 8 kb upstream of exon 1 were active in transfection assays in endothelial cells. In transgenic mice, the promoter directed low-level expression to a subset of endothelial cells. By contrast, inclusion of the -8 enhancer resulted in robust endothelial activity with additional staining in developing ear mesenchyme. Subsequent molecular analysis demonstrated that both the -8 enhancer and the promoter depend on conserved Ets sites, which were bound in endothelial cells in vivo by Fli-1, Erg, and Elf-1. This study therefore establishes the transcriptional framework within which endoglin functions during angiogenesis.

Animals↗

PubMed2006

Proneural bHLH and Brn proteins coregulate a neurogenic program through cooperative binding to a conserved DNA motif.

Proneural proteins play a central role in vertebrate neurogenesis, but little is known of the genes that they regulate and of the factors that interact with proneural proteins to activate a neurogenic program. Here, we demonstrate that the proneural protein Mash1 and the POU proteins Brn1 and Brn2 interact on the promoter of the Notch ligand Delta1 and synergistically activate Delta1 transcription, a key step in neurogenesis. Overexpression experiments in vivo indicate that Brn2, like Mash1, regulates additional aspects of neurogenesis, including the division of progenitors and the differentiation and migration of neurons. We identify by in silico screening a number of additional candidate target genes, which are recognized by Mash1 and Brn proteins through a DNA-binding motif similar to that found in the Delta1 gene and present a broad range of activities. We thus propose that Mash1 synergizes with Brn factors to regulate multiple steps of neurogenesis.

Amino Acid Sequence↗

PubMed2006

Evolution of candidate transcriptional regulatory motifs since the human-chimpanzee divergence.

BACKGROUND: Despite the recent completion of the chimpanzee genome project, few functionally significant sequence differences between humans and chimpanzees have thus far been identified. Alteration in transcriptional regulatory mechanisms represents an important platform for evolutionary change, suggesting that a significant proportion of functional human-chimpanzee sequence differences may affect regulatory elements. RESULTS: To explore this hypothesis, we performed genome-wide identification of conserved candidate transcription-factor binding sites that have evolved since the divergence of humans and chimpanzees. Analysis of candidate transcription-factor binding sites conserved between mouse and chimpanzee yet absent in human indicated that loss of candidate transcription-factor binding sites in the human lineage was not random but instead correlated with the biologic functions of associated genes. CONCLUSION: Our data support the notion that changes in transcriptional regulation have contributed to the recent evolution of humans. Moreover, genes associated with mutated candidate transcription-factor binding sites highlight potential pathways underlying human-chimpanzee divergence.

Animals↗

PubMed2005

Fli1, Elf1, and Ets1 regulate the proximal promoter of the LMO2 gene in endothelial cells.

Transcriptional control has been identified as a key mechanism regulating the formation and subsequent behavior of hematopoietic stem cells. We have used a comparative genomics approach to identify transcriptional regulatory elements of the LMO2 gene, a transcriptional cofactor originally identified through its involvement in T-cell leukemia and subsequently shown to be critical for normal hematopoietic and endothelial development. Of the 2 previously characterized LMO2 promoters, the second (proximal) promoter was highly conserved in vertebrates ranging from mammals to fish. Real-time reverse transcriptase-polymerase chain reaction (RT-PCR) expression analysis identified this promoter as the predominant source of transcription in hematopoietic tissue. Transient and stable transfections indicated that the proximal promoter was active in hematopoietic progenitor and endothelial cell lines and this activity was shown to depend on 3 conserved Ets sites that were bound in vivo by E74-like factor 1 (Elf1), Friend leukemia integration 1 (Fli1), and erythroblastosis virus oncogene homolog E twenty-six-1 (Ets1). Finally, transgenic analysis demonstrated that the LMO2 proximal promoter is sufficient for expression in endothelial cells in vivo. No hematopoietic expression was observed, indicating that additional enhancers are required to mediate transcription from the proximal promoter in hematopoietic cells. Together, these results suggest that the conserved proximal promoter is central to LMO2 transcription in hematopoietic and endothelial cells, where it is regulated by Ets factors.

Adaptor Proteins, Signal Transducing↗

PubMed2005

Genome-wide identification of cis-regulatory sequences controlling blood and endothelial development.

The development of blood has long served as a model for mammalian cell type specification and differentiation, and yet the underlying transcriptional networks remain ill defined. Characterization of such networks will require genome-wide identification of cis-regulatory sequences and an understanding of how regulatory information is encoded in the primary DNA sequence. Despite progress in lower organisms, genome-wide computational identification of mammalian cis-regulatory sequences has been hindered by increased genomic complexity and cumbersome transgenic assays. Starting with a well-characterized blood stem cell enhancer from the SCL gene, we have developed computational tools for the identification of functionally related gene regulatory sequences. Two candidate enhancers discovered in this way were located in intron 1 of the Fli-1 and PRH/Hex genes, both transcription factors previously implicated in controlling blood and endothelial development. Subsequent transgenic and biochemical analysis demonstrated that the two computationally identified enhancers are functionally related to the SCL stem cell enhancer. The approach developed here may therefore be useful for identifying additional enhancers involved in the control of early blood and endothelial development, and may be adapted to decipher transcriptional regulatory codes controlling a broad range of mammalian developmental programmes.

Antigens, CD34↗

PubMed2004

Genome-wide analysis of repressor element 1 silencing transcription factor/neuron-restrictive silencing factor (REST/NRSF) target genes.

The completion of whole genome sequencing projects has provided the genetic instructions of life. However, whereas the identification of gene coding regions has progressed, the mapping of transcriptional regulatory motifs has moved more slowly. To understand how distinct expression profiles can be established and maintained, a greater understanding of these sequences and their trans-acting factors is required. Herein we have used a combined in silico and biochemical approach to identify binding sites [repressor element 1/neuron-restrictive silencer element (RE1/NRSE)] and potential target genes of RE1 silencing transcription factor/neuron-restrictive silencing factor (REST/NRSF) within the human, mouse, and Fugu rubripes genomes. We have used this genome-wide analysis to identify 1,892 human, 1,894 mouse, and 554 Fugu RE1/NRSEs and present their location and gene linkages in a searchable database. Furthermore, we identified an in vivo hierarchy in which distinct subsets of RE1/NRSEs interact with endogenous levels of REST/NRSF, whereas others function as bona fide transcriptional control elements only in the presence of elevated levels of REST/NRSF. These data show that individual RE1/NRSE sites interact differentially with REST/NRSF within a particular cell type. This combined bioinformatic and biochemical approach serves to illustrate the selective manner in which a transcription factor interacts with its potential binding sites and regulates target genes. In addition, this approach provides a unique whole-genome map for a given transcription factor-binding site implicated in establishing specific patterns of neuronal gene expression.

Animals↗

PubMed2004

Analysis of multiple genomic sequence alignments: a web resource, online tools, and lessons learned from analysis of mammalian SCL loci.

Comparative analysis of genomic sequences is becoming a standard technique for studying gene regulation. However, only a limited number of tools are currently available for the analysis of multiple genomic sequences. An extensive data set for the testing and training of such tools is provided by the SCL gene locus. Here we have expanded the data set to eight vertebrate species by sequencing the dog SCL locus and by annotating the dog and rat SCL loci. To provide a resource for the bioinformatics community, all SCL sequences and functional annotations, comprising a collation of the extensive experimental evidence pertaining to SCL regulation, have been made available via a Web server. A Web interface to new tools specifically designed for the display and analysis of multiple sequence alignments was also implemented. The unique SCL data set and new sequence comparison tools allowed us to perform a rigorous examination of the true benefits of multiple sequence comparisons. We demonstrate that multiple sequence alignments are, overall, superior to pairwise alignments for identification of mammalian regulatory regions. In the search for individual transcription factor binding sites, multiple alignments markedly increase the signal-to-noise ratio compared to pairwise alignments.

Animals↗

PubMed2002

Unique TCR beta-subunit variable gene haplotypes in Africans.

This study investigated polymorphisms of genes in two regions of the T-cell antigen receptor beta-subunit (TCRB) locus, including BV9S2P, and BV6S7 in a 5' linkage group, and BV8S3, BV24S1, BV25S1, BV18S1, BV2S1, BV15S1 and BV3S1 in a 3' linkage group. These loci have been genotyped in individuals from five regions in Africa, including The Gambia, Nigeria, Cameroon, Tanzania, and Zambia, and in individuals from northern Britain, northern India, and Papua New Guinea (PNG). In the 3' linkage group, 11 unique haplotypes were identified in the combined African populations; two equally frequent haplotypes represent the majority of African chromosomes. One haplotype was found in all four regions studied. This is the most frequent haplotype in the northern British, northern Indian and PNG populations. Although present, it is infrequent in the African populations. A North-South gradient in the frequency of a common African haplotype was observed. The distribution did not represent that of a known disease. Evidence suggests that malaria is not responsible for selection of these haplotypes. Overall, this study highlights large differences in the genetic constitution of the TCRB locus between Africans and other populations.

Africa↗

PubMed2002

Malaria is not responsible for the selection of TCR beta-subunit variable gene haplotypes in The Gambia.

Previous work has shown that a single haplotype of the T-cell antigen receptor beta-subunit (TCRB) locus is predominant in African populations. This is likely to be due to selection pressure for gene(s) that protect children against disease. This study has tested the hypothesis that malaria is the responsible selection pressure, due to its impact on child mortality. The haplotypes of BV8S3, BV2S1, BV15S1, and BV3S1 were determined in children suffering from severe malaria and unaffected adult controls. No significant difference between cases and controls was shown for any of the haplotypes studied. In addition, an insertion/deletion (INDEL) haplotype in the 5' region of the TCRB locus was investigated. Again no differences between the two groups were detected. Therefore, the evidence suggests that malaria is not responsible for haplotype selection in The Gambia.

Adult↗