Eukaryotic transcription factors: identification, characterization and functions

An in Silico Approach to Identifying TF Binding Sites: Analysis of the Regulatory Regions of BUSCO Genes from Fungal Species in the Ceratocystidaceae Family

Transcriptional regulation controls gene expression through regulatory promoter regions that contain conserved sequence motifs. These motifs, also known as regulatory elements, are critically important to expression, which is driving research efforts to identify and characterize them. Yeasts have been the focus of such studies in fungi, including in several in silico approaches. This study aimed to determine whether in silico approaches could be used to identify motifs in the Ceratocystidaceae family, and if present, to evaluate whether these correspond to known transcription factors. This study targeted the 1000 base-pair region upstream of the start codon of 20 single-copy genes from the BUSCO dataset for motif discovery. Using the MEME and Tomtom analysis tools, conserved motifs at the family level were identified. The results show that such in silico approaches could identify known regulatory motifs in the Ceratocystidaceae and other unrelated species. This study provides support to ongoing efforts to use in silico analyses for motif discovery.

Characterization of the transactivation and nuclear localization functions of Pichia pastoris zinc finger transcription factor Mxr1p

The zinc finger transcription factor Mxr1p regulates the transcription of genes involved in methanol, acetate, and amino acid metabolism of the industrial yeast Pichia pastoris (a.k.a. Komagataella phaffii) by binding to Mxr1p response elements in their promoters. Here, we demonstrate that Mxr1p is a key regulator of ethanol metabolism as well. Using transcriptomic analysis, we identified target genes of Mxr1p that mediate ethanol metabolism, including ALD6-1 encoding an aldehyde dehydrogenase. ALD6-1 is essential for ethanol metabolism, and the ALD6-1 promoter harbors three Mxr1p response elements to which Mxr1p binds in vitro and activates transcription in vivo. We show that a nine-amino acid transactivation domain located between amino acids 365 and 373 of Mxr1p is essential for the transactivation of ALD6-1 to facilitate ethanol metabolism. Mxr1N250, containing the N-terminal 250 amino acids of Mxr1p, localized to the nucleus of cells metabolizing ethanol dependent on basic amino acid residues present between amino acids 75 and 85. While the N-terminal 400 amino acids of Mxr1p are sufficient for the activation of target genes essential for ethanol metabolism, the region between amino acids 401 and 1155 was also required for the regulation of genes essential for methanol metabolism. Finally, we identified several novel genes whose expression is differentially regulated by Mxr1p during methanol metabolism by DNA microarray. This study demonstrates that Mxr1p is a key regulator of ethanol metabolism and provides new insights into the mechanism by which Mxr1p functions as a global regulator of multiple metabolic pathways of P. pastoris.

Modeling Modulation of the Tick Regulome in Response to Anaplasma phagocytophilum for the Identification of New Control Targets

Ticks act as vectors of pathogens affecting human and animal health worldwide, and recent research has focused on the characterization of tick-pathogen interactions using omics technologies to identify new targets for developing novel control interventions. The regulome (transcription factors-target genes interactions) plays a critical role in cell response to pathogen infection. Therefore, the application of regulomics to tick-pathogen interactions would advance our understanding of these molecular interactions and contribute to the identification of novel control targets for the prevention and control of tick infestations and tick-borne diseases. However, limited information is available on the role of tick regulome in response to pathogen infection. In this study, we applied complementary in silico approaches to modeling how Anaplasma phagocytophilum infection modulates tick vector regulome. This proof-of-concept research provided support for the use of network analysis in the study of regulome response to infection, resulting in new information on tick-pathogen interactions and potential targets for developing interventions for the control of tick infestations and pathogen transmission. Deciphering the precise nature of circuits that shape the tick regulome in response to pathogen infection is an area of research that in the future will advance our knowledge of tick-pathogen interactions, and the identification of new antigens for the control of tick infestations and pathogen infection/transmission.

Systematic target function annotation of human transcription factors

Background

Transcription factors (TFs), the key players in transcriptional regulation, have attracted great experimental attention, yet the functions of most human TFs remain poorly understood. Recent capabilities in genome-wide protein binding profiling have stimulated systematic studies of the hierarchical organization of human gene regulatory network and DNA-binding specificity of TFs, shedding light on combinatorial gene regulation. We show here that these data also enable a systematic annotation of the biological functions and functional diversity of TFs.

Result

We compiled a human gene regulatory network for 384 TFs covering the 146,096 TF–target gene (TF–TG) relationships, extracted from over 850 ChIP-seq experiments as well as the literature. By integrating this network of TF–TF and TF–TG relationships with 3715 functional concepts from six sources of gene function annotations, we obtained over 9000 confident functional annotations for 279 TFs. We observe extensive connectivity between TFs and Mendelian diseases, GWAS phenotypes, and pharmacogenetic pathways. Further, we show that TFs link apparently unrelated functions, even when the two functions do not share common genes. Finally, we analyze the pleiotropic functions of TFs and suggest that the increased number of upstream regulators contributes to the functional pleiotropy of TFs.

Conclusion

Our computational approach is complementary to focused experimental studies on TF functions, and the resulting knowledge can guide experimental design for the discovery of unknown roles of TFs in human disease and drug response.

Electronic supplementary material

The online version of this article (doi:10.1186/s12915-017-0469-0) contains supplementary material, which is available to authorized users.

A genome scale overexpression screen to reveal drug activity in human cells

Target identification is a critical step in the lengthy and expensive process of drug development. Here, we describe a genome-wide screening platform that uses systematic overexpression of pooled human ORFs to understand drug mode-of-action and resistance mechanisms. We first calibrated our screen with the well-characterized drug methotrexate. We then identified new genes involved in the bioactivity of diverse drugs including antineoplastic agents and biologically active molecules. Finally, we focused on the transcription factor RHOXF2 whose overexpression conferred resistance to DNA damaging agents. This approach represents an orthogonal method for functional screening and, to our knowledge, has never been reported before.

Purification and characterization of transcription factors

Transcription factors (TFs) are essential for the expression of all proteins, including those involved in human health and disease. However, TFs are resistant to proteomic characterization because they are frequently masked by more abundant proteins due to the limited dynamic range of capillary liquid chromatography-tandem mass spectrometry and protein database searching. Purification methods, particularly strategies that exploit the high affinity of TFs for DNA response elements (REs) on gene promoters, can enrich TFs prior to proteomic analysis to improve dynamic range and penetrance of the TF proteome. For example, trapping of TF complexes specific for particular REs has been achieved by recovering the element DNA-protein complex on solid supports. Additional methods for improving dynamic range include two- and three-dimensional gel electrophoresis incorporating electrophoretic mobility shift assays and Southwestern blotting for detection. Here we review methods for TF purification and characterization. We fully expect that future investigations will apply these and other methods to illuminate this important but challenging proteome.

Liverbase: a comprehensive view of human liver biology

The Liverbase ( http://liverbase.hupo.org.cn ) integrates information on the human liver proteome, including the function, abundance, and subcellular localization of proteins as well as associated disease information. The overall objective of the Liverbase is to provide a unique public resource for the liver community by providing comprehensive functional annotation of proteins implicated in liver development and disease. The central database features are manually annotated proteins localized in or functionally associated with human liver. In this first version of Liverbase, the associated data includes the human liver proteome (6788 proteins) and transcriptome (11205 significantly expressed genes: 10224 from CHIP and 5422 from MPSS, respecively) from the Chinese human liver proteome project (CNHLPP). As a database made publicly available through the Web site, Liverbase provides browsing and searching capabilities and a compilation of external links to other databases and homepages. Liverbase enables (i) the establishment of liver GO slim with 51 nonredundant items; (ii) systematic searches for proteins within specific functional or metabolic pathways; (iii) systematic searches that aim to find the proteins that underlie common and rare liver diseases; and (iv) the integration of detailed protein annotations derived from the literature. Liverbase also contains an external links page with links to other biological databases and homepages, including GO, KEGG, pfam, SWISS-PROT, and GNF databases. Liverbase users can utilize all these information to conduct systems biology research on liver.

Methods for proteomic analysis of transcription factors

Investigation of the transcription factor (TF) proteome presents challenges including the large number of low abundance and post-translationally modified proteins involved. Specialized purification and analysis methods have been developed over the last decades which facilitate the study of the TF proteome and these are reviewed here. Generally applicable proteomics methods that have been successfully applied are also discussed. TFs are selectively purified by affinity techniques using the DNA response element (RE) as the basis for highly specific binding, and several agents have been discovered that either enhance binding or diminish non-specific binding. One such affinity method called "trapping" enables purification of TFs bound to nM concentrations and recovery of TF complexes in a highly purified state. The electrophoretic mobility shift assay (EMSA) is the most important assay of TFs because it provides both measures of the affinity and amount of the TF present. Southwestern (SW) blotting and DNA-protein crosslinking (DPC) allow in vitro estimates of DNA-binding-protein mass, while chromatin immunoprecipitation (ChIP) allows confirmation of promoter binding in vivo. Two-dimensional gel electrophoresis methods (2-DE), and 3-DE methods which combines EMSA with 2-DE, allow further resolution of TFs. The synergy of highly selective purification and analytical strategies has led to an explosion of knowledge about the TF proteome and the proteomes of other DNA- and RNA-binding proteins.

ZNF536, a novel zinc finger protein specifically expressed in the brain, negatively regulates neuron differentiation by repressing retinoic acid-induced gene transcription

Neuronal differentiation is tightly regulated by a variety of factors. In a search for neuron-specific genes, we identified a highly conserved novel zinc finger protein, ZNF536. We observed that ZNF536 is most abundant in the brain and, in particular, is expressed in the developing central nervous system and dorsal root ganglia and localized in the cerebral cortex, hippocampus, and hypothalamic area. During neuronal differentiation of P19 cells induced by retinoic acid (RA), ZNF536 expression is increased at an early stage, and it is maintained at a constant level in later stages. Overexpression of ZNF536 results in an inhibition of RA-induced neuronal differentiation, while depletion or mutation of the ZNF536 gene results in an enhancement of differentiation. We further demonstrated that ZNF536 inhibits expression of neuron-specific marker genes, possibly through the inhibition of RA response element-mediated transcriptional activity, as overexpression of RA receptor alpha can rescue the inhibitory role of ZNF536 in neuronal differentiation and neuron-specific gene expression. Our studies have identified a novel zinc finger protein that negatively regulates neuron differentiation.

Enhancement of lipid production using biochemical, genetic and transcription factor engineering approaches

This paper compares three possible strategies for enhanced lipid overproduction in microalgae: the biochemical engineering (BE) approaches, the genetic engineering (GE) approaches, and the transcription factor engineering (TFE) approaches. The BE strategy relies on creating a physiological stress such as nutrient-starvation or high salinity to channel metabolic fluxes to lipid accumulation. The GE strategy exploits our understanding to the lipid metabolic pathway, especially the rate-limiting enzymes, to create a channelling of metabolites to lipid biosynthesis by overexpressing one or more key enzymes in recombinant microalgal strains. The TFE strategy is an emerging technology aiming at enhancing the production of a particular metabolite by means of overexpressing TFs regulating the metabolic pathways involved in the accumulation of target metabolites. Currently, BE approaches are the most established in microalgal lipid production. The TFE is a very promising strategy because it may avoid the inhibitive effects of the BE approaches and the limitation of "secondary bottlenecks" as commonly observed in the GE approaches. However, it is still a novel concept to be investigated systematically.

Roles of Krüpel-like factor 4 in normal homeostasis, cancer and stem cells

Krüpel-like factor 4 (KLF4) is a zinc finger-type transcription factor expressed in a variety of tissues, including the epithelium of the intestine and the skin, and it plays an important role in differentiation and cell cycle arrest. Depending on the gene targeted, KLF4 can both activate and repress transcription. Moreover, in certain cellular contexts, KLF4 can function as a tumor suppressor or an oncogene. Finally, KLF4 is important in reprogramming differentiated fibroblasts into inducible pluripotent stem cells, which highly resemble embryonic stem cells. This review summarizes what is known about the diverse functions of KLF4 as well as their molecular mechanisms.

Safety assessment considerations for food and feed derived from plants with genetic modifications that modulate endogenous gene expression and pathways

The current globally recognized comparative food and feed safety assessment paradigm for biotechnology-derived crops is a robust and comprehensive approach for evaluating the safety of both the inserted gene product and the resulting crop. Incorporating many basic concepts from food safety, toxicology, nutrition, molecular biology, and plant breeding, this approach has been used effectively by scientists and regulatory agencies for 10-15 years. Current and future challenges in agriculture include the need for improved yields, tolerance to biotic and abiotic stresses, and improved nutrition. The next generation of biotechnology-derived crops may utilize regulatory proteins, such as transcription factors that modulate gene expression and/or endogenous plant pathways. In this review, we discuss the applicability of the current safety assessment paradigm to biotechnology-derived crops developed using modifications involving regulatory proteins. The growing literature describing the molecular biology underlying plant domestication and conventional breeding demonstrates the naturally occurring genetic variation found in plants, including significant variation in the classes, expression, and activity of regulatory proteins. Specific examples of plant modifications involving insertion or altered expression of regulatory proteins are discussed as illustrative case studies supporting the conclusion that the current comparative safety assessment process is appropriate for these types of biotechnology-developed crops.

Systematic identification of cell cycle regulated transcription factors from microarray time series data

Background

The cell cycle has long been an important model to study the genome-wide transcriptional regulation. Although several methods have been introduced to identify cell cycle regulated genes from microarray data, they can not be directly used to investigate cell cycle regulated transcription factors (CCRTFs), because for many transcription factors (TFs) it is their activities instead of expressions that are periodically regulated across the cell cycle. To overcome this problem, it is useful to infer TF activities across the cell cycle by integrating microarray expression data with ChIP-chip data, and then examine the periodicity of the inferred activities. For most species, however, large-scale ChIP-chip data are still not available.

Results

We propose a two-step method to identify the CCRTFs by integrating microarray cell cycle data with ChIP-chip data or motif discovery data. In S. cerevisiae, we identify 42 CCRTFs, among which 23 have been verified experimentally. The cell cycle related behaviors (e.g. at which cell cycle phase a TF achieves the highest activity) predicted by our method are consistent with the well established knowledge about them. We also find that the periodical activity fluctuation of some TFs can be perturbed by the cell synchronization treatment. Moreover, by integrating expression data with in-silico motif discovery data, we identify 8 cell cycle associated regulatory motifs, among which 7 are binding sites for well-known cell cycle related TFs.

Conclusion

Our method is effective to identify CCRTFs by integrating microarray cell cycle data with TF-gene binding information. In S. cerevisiae, the TF-gene binding information is provided by the systematic ChIP-chip experiments. In other species where systematic ChIP-chip data is not available, in-silico motif discovery and analysis provide us with an alternative method. Therefore, our method is ready to be implemented to the microarray cell cycle data sets from different species. The C++ program for AC score calculation is available for download from URL .

Assembly of the oncogenic DNA-binding complex LMO2-Ldb1-TAL1-E12

The nuclear proteins TAL1 (T-cell acute leukaemia protein 1) and LMO2 (LIM-only protein 2) have critical roles in haematopoietic development, but are also often aberrantly activated in T-cell acute lymphoblastic leukaemia. TAL1 and LMO2 operate within multifactorial protein-DNA complexes that regulate gene expression in the developing blood cell. TAL1 is a tissue-specific basic helix-loop-helix (bHLH) protein that binds bHLH domains of ubiquitous E-proteins, (E12 and E47), to bind E-box (CANNTG) DNA motifs. TAL1(bHLH) also interacts specifically with the LIM domains of LMO2, which in turn bind Ldb1 (LIM-domain binding protein 1). Here we used biophysical methods to characterize the assembly of a five-component complex containing TAL1, LMO2, Ldb1, E12, and DNA. The bHLH domains of TAL1 and E12 alone primarily formed helical homodimers, but together preferentially formed heterodimers, to which LMO2 bound with high affinity (K(A) approximately 10(8) M(-1)). The resulting TAL1/E12/LMO2 complex formed in the presence or absence of DNA, but the different complexes preferentially bound different Ebox-sequences. Our data provide biophysical evidence for a mechanism, by which LMO2 and TAL1 both regulate transcription in normal blood cell development, and synergistically disrupt E2A function in T-cells to promote the onset of leukaemia.

Identification and characterization of the human SCAN domain zinc-finger gene ZNF449

Zinc-finger proteins play important roles in various cellular functions, including cell proliferation, differentiation, and apoptosis. In this study, we identified a gene encoding a zinc finger protein named ZNF449, which was isolated from human testis cDNA library and mapped to Xq26.3 by searching the UCSC genomic database. The ZNF449 cDNA consists of 4035 nucleotides and has a 518-amino acids open reading frame. The predicted protein contains a leucine-rich region (LER or SCAN domain) at the N-terminus. At the C-terminus of the protein, there are 7 C(2)H(2) (Cys2-His2) zinc-finger motifs. The expression pattern of ZNF449 showed that it was ubiquitously expressed in 18 human adult tissues. ZNF449 protein was located in the nucleus when overexpressed in cultured cells. These results indicate that ZNF449 is a member of the zinc-finger family and it may function as a transcription factor.

Cloning and Characterization of a Novel KRAB-domain-containing Zinc Finger Gene (ZNF284L)†

The zinc finger gene (ZNF) family plays an important role in the regulation of transcription. This study reports the cloning and characterization of a novel human zinc finger protein cDNA (ZNF284L) from fetal brain cDNA library. The ZNF284L cDNA is 2223 bp in length encoding a 593-aa polypeptide. The protein contains a KRAB A+b box and eleven C2H2 type zinc finger motifs. ZNF284L gene is mapped to 19q13.2-19q13.3 with 5 exons, and the expression pattern of ZNF284L gene was also examined by reverse transcription polymerase chain reaction (RT-PCR). The transcripts were detected in the human lung, liver, pancreas, thymus, heart, placenta, spleen, prostate, ovary, small intestine and colon, but in human brain, skeletal muscle, kidney, testis and peripheral blood leukocyte, no expression was detected.

Cloning and characterization of a novel zinc finger protein (rZFP96) in the rat corpus luteum

The corpus luteum (CL) is a temporary organ involved in the maintenance of pregnancy. In the course of its life-cycle, the CL undergoes two distinct and consecutive processes for its inevitable removal through apoptosis: functional and structural luteolysis. We isolated a gene encoding for a novel rat zinc finger protein (ZFP), named rat ZFP96 (rZFP96) from an ovarian lambda cDNA library. Sequence analysis revealed close sequence and structural similarity to mouse ZFP96 and human zinc finger protein 305 (ZNF305). Quantitative reverse transcription-polymerase chain reaction analysis revealed a positive correlation with the end of pregnancy, that is, the onset of structural luteolysis of the CL. Messenger RNA levels increased 3-fold (P < 0.01) between days 13 and 22 of pregnancy and 8-fold (P < 0.01) between day 13 of pregnancy and day 1 post-partum. In addition, we detected rZFP96 expression in mammary, placenta, heart, kidney and skeletal muscle. Sequence analysis predicted that rZFP96 has a high probability of localizing to the nuclear compartment. The presence of both a perfect consensus TGEKP linker sequence between zinc fingers 2 and 3 as well as several similar sequences between the other zinc fingers suggests physical interaction with DNA. Speculatively, rZFP96 may therefore function as a transcription factor, switching-off pro-survival genes and/or upregulating pro-apoptotic genes and thereby contributing to the demise of the CL.

Activation of transcriptional activities of AP1 and SRE by a novel zinc finger protein ZNF445

Zinc finger proteins play important roles in various cellular functions, including cell proliferation, differentiation, and apoptosis. Mitogen-activated protein kinase (MAPK) signal transduction pathways are one of the most common mechanisms in eukaryotic cell regulation. Many transcription factors are important targets of MAPKs. In this study, we identified a novel gene encoding a zinc finger protein named ZNF445. The ZNF445 mRNA consists of 9105 nucleotides and has a 1031-amino acid open reading frame. The predicted 119-kDa protein contains a leucine-rich region (LER or SCAN domain) at the N-terminus, followed by a well-conserved Krüppel-associated box (KRAB) domain. At the C-terminus of the protein, there are 14 C2H2 (Cys2-His2) zinc finger motifs. ZNF445 gene is mapped to chromosome 3p21.32. Northern blot analysis indicates that a 9.1 kb transcript specific for ZNF445 is expressed in uterus, thymus, small intestine, colon, pancreas, peripheral blood leukocyte, and especially at a higher level in the testis and skeletal muscle in human adult tissues. ZNF445 protein was located in the nucleus when overexpressed in cultured cells. Reporter gene assays showed that ZNF445 is a transcriptional repressor, and overexpression of ZNF445 in the HEK 293T cells activates the transcriptional activities of AP1 and SRE. Deletion studies showed that the SCAN domain of ZNF445 may be involved in this activation. Furthermore, we found that expression of ZNF445 can increase p42/44 MAPK, MEK and Raf-1 phosphorylation. These results clearly indicate that ZNF445 is a member of the zinc finger transcription factor family and may function in MAPK pathway through Raf-1/MEK/p42/44 MAPK signals.

A scan for positively selected genes in the genomes of humans and chimpanzees

Since the divergence of humans and chimpanzees about 5 million years ago, these species have undergone a remarkable evolution with drastic divergence in anatomy and cognitive abilities. At the molecular level, despite the small overall magnitude of DNA sequence divergence, we might expect such evolutionary changes to leave a noticeable signature throughout the genome. We here compare 13,731 annotated genes from humans to their chimpanzee orthologs to identify genes that show evidence of positive selection. Many of the genes that present a signature of positive selection tend to be involved in sensory perception or immune defenses. However, the group of genes that show the strongest evidence for positive selection also includes a surprising number of genes involved in tumor suppression and apoptosis, and of genes involved in spermatogenesis. We hypothesize that positive selection in some of these genes may be driven by genomic conflict due to apoptosis during spermatogenesis. Genes with maximal expression in the brain show little or no evidence for positive selection, while genes with maximal expression in the testis tend to be enriched with positively selected genes. Genes on the X chromosome also tend to show an elevated tendency for positive selection. We also present polymorphism data from 20 Caucasian Americans and 19 African Americans for the 50 annotated genes showing the strongest evidence for positive selection. The polymorphism analysis further supports the presence of positive selection in these genes by showing an excess of high-frequency derived nonsynonymous mutations.

Krüppel-like factors 4 and 5: the yin and yang regulators of cellular proliferation

Krüppel-like factors (KLFs) are evolutionarily conserved zinc finger-containing transcription factors with diverse regulatory functions in cell growth, proliferation, differentiation, and embryogenesis. KLF4 and KLF5 are two closely related members of the KLF family that have a similar tissue distribution in embryos and adults. However, the two KLFs often exhibit opposite effects on regulation of gene transcription, despite binding to similar, if not identical, cis-acting DNA sequences. In addition, KLF4 and 5 exert contrasting effects on cell proliferation in many instances; while KLF4 is an inhibitor of cell growth, KLF5 stimulates proliferation. Here we review the biological properties and biochemical mechanisms of action of the two KLFs in the context of growth regulation.

Charting gene regulatory networks: strategies, challenges and perspectives

One of the foremost challenges in the post-genomic era will be to chart the gene regulatory networks of cells, including aspects such as genome annotation, identification of cis-regulatory elements and transcription factors, information on protein-DNA and protein-protein interactions, and data mining and integration. Some of these broad sets of data have already been assembled for building networks of gene regulation. Even though these datasets are still far from comprehensive, and the approach faces many important and difficult challenges, some strategies have begun to make connections between disparate regulatory events and to foster new hypotheses. In this article we review several different genomics and proteomics technologies, and present bioinformatics methods for exploring these data in order to make novel discoveries.

Nonradiochemical DNase I footprinting by capillary electrophoresis

A new application for DNase I footprinting using capillary electrophoresis (CE) has been developed in order to decrease analysis time and to eliminate the use of radiochemicals. An additional advantage of the new method over the traditional radioactive methods is that the DNA probe can be labeled on both ends with different fluorescein dyes. This provides an internal check of the identification of protein-binding sites on DNA, because the binding region can be observed from both DNA strands. The initial parameters for the CE method were developed using the Promega Core Footprinting Kit for analysis of AP-2 binding sites in the SV40 enhancer sequence. After optimization of the method, the protocol was found to be effective for footprint analysis of the immediate upstream region (bases -1 to -370) of the rat glutathione peroxidase (GPX) and it permitted identification of a previously unknown binding site in the upstream sequence of the GPX gene.

Transactivation and growth suppression by the gut-enriched Krüppel-like factor (Krüppel-like factor 4) are dependent on acidic amino acid residues and protein-protein interaction

Gut-enriched Krüppel-like factor (GKLF or KLF4) is a pleiotropic (activating and repressive) transcription factor. This study characterizes the mechanisms of transactivation by GKLF. Using a GAL4 fusion assay, the activating domain of murine GKLF was localized to the 109 amino acid residues in the N-terminus. Site-directed mutagenesis showed that two adjacent clusters of acidic residues within this region are responsible for the activating effect. Transactivation by GKLF involves intermolecular interactions as demonstrated by the ability of wild-type, but not mutated, GKLF to compete with the N-terminal activation domain. In addition, wild-type adenovirus E1A, but not a mutated E1A that failed to bind p300/CBP, inhibited transactivation by the N-terminal 109 amino acids of GKLF, suggesting that p300/CBP are GKLF's interacting partners. A physical interaction between GKLF and CBP was demonstrated by glutathione- S -transferase pull-down and by in vivo co-immuno-precipitation experiments. We also showed that the two acidic amino acid clusters are essential for this interaction, since GKLF with mutations in these residues failed to co-immunoprecipitate with CBP. Importantly, the same mutations abrogated the ability of GKLF to suppress cell growth as determined by a colony suppression assay. These studies therefore provide plausible evidence for a structural and functional correlation between the transactivating and growth-suppressing effects of GKLF.

The biology of the mammalian Krüppel-like family of transcription factors

Recent advances in molecular cloning have led to the identification of a large number of mammalian zinc finger-containing transcription factors that exhibit homology to the Drosophila melanogaster protein, Krüppel. Although the amino acid sequences in the zinc finger domains of these Krüppel-like factors (KLFs) are closely related to one another, the regions outside the zinc fingers of the proteins are usually unique. KLFs display seemingly different and broad biological properties with each functioning as an activator of transcription, a repressor or both. This review article provides a current phylogenetic classification of the identified KLFs to date. More importantly, the currently known biological activities of the KLFs in regulating transcription, cell proliferation, differentiation and development are summarized and compared. Further characterization of this interesting protein family should provide additional insights into the their respective regulatory role in various important biological processes.