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PubMed2006

Arabidopsis thaliana proteomics: from proteome to genome.

Proteomics has become an important approach for investigating cellular processes and network functions. Significant improvements have been made during the last few years in technologies for high-throughput proteomics, both at the level of data analysis software and mass spectrometry hardware. As proteomics technologies advance and become more widely accessible, efforts of cataloguing and quantifying full proteomes are underway to complement other genomics approaches, such as RNA and metabolite profiling. Of particular interest is the application of proteome data to improve genome annotation and to include information on post-translational protein modifications with the annotation of the corresponding gene. This type of analysis requires a paradigm shift because amino acid sequences must be assigned to peptides without relying on existing protein databases. In this review, advances and current limitations of full proteome analysis are briefly highlighted using the model plant Arabidopsis thaliana as an example. Strategies to identify peptides are also discussed on the basis of MS/MS data in a protein database-independent approach.

Arabidopsis↗
PubMed2003

Microenvironment analysis and identification of magnesium binding sites in RNA.

Interactions with magnesium (Mg2+) ions are essential for RNA folding and function. The locations and function of bound Mg2+ ions are difficult to characterize both experimentally and computationally. In particular, the P456 domain of the Tetrahymena thermophila group I intron, and a 58 nt 23s rRNA from Escherichia coli have been important systems for studying the role of Mg2+ binding in RNA, but characteristics of all the binding sites remain unclear. We therefore investigated the Mg2+ binding capabilities of these RNA systems using a computational approach to identify and further characterize their Mg2+ binding sites. The approach is based on the FEATURE algorithm, reported previously for microenvironment analysis of protein functional sites. We have determined novel physicochemical descriptions of site-bound and diffusely bound Mg2+ ions in RNA that are useful for prediction. Electrostatic calculations using the Non-Linear Poisson Boltzmann (NLPB) equation provided further evidence for the locations of site-bound ions. We confirmed the locations of experimentally determined sites and further differentiated between classes of ion binding. We also identified potentially important, high scoring sites in the group I intron that are not currently annotated as Mg2+ binding sites. We note their potential function and believe they deserve experimental follow-up.

Algorithms↗
PubMed2003

Decay rates of human mRNAs: correlation with functional characteristics and sequence attributes.

Although mRNA decay rates are a key determinant of the steady-state concentration for any given mRNA species, relatively little is known, on a population level, about what factors influence turnover rates and how these rates are integrated into cellular decisions. We decided to measure mRNA decay rates in two human cell lines with high-density oligonucleotide arrays that enable the measurement of decay rates simultaneously for thousands of mRNA species. Using existing annotation and the Gene Ontology hierarchy of biological processes, we assign mRNAs to functional classes at various levels of resolution and compare the decay rate statistics between these classes. The results show statistically significant organizational principles in the variation of decay rates among functional classes. In particular, transcription factor mRNAs have increased average decay rates compared with other transcripts and are enriched in "fast-decaying" mRNAs with half-lives <2 h. In contrast, we find that mRNAs for biosynthetic proteins have decreased average decay rates and are deficient in fast-decaying mRNAs. Our analysis of data from a previously published study of Saccharomyces cerevisiae mRNA decay shows the same functional organization of decay rates, implying that it is a general organizational scheme for eukaryotes. Additionally, we investigated the dependence of decay rates on sequence composition, that is, the presence or absence of short mRNA motifs in various regions of the mRNA transcript. Our analysis recovers the positive correlation of mRNA decay with known AU-rich mRNA motifs, but we also uncover further short mRNA motifs that show statistically significant correlation with decay. However, we also note that none of these motifs are strong predictors of mRNA decay rate, indicating that the regulation of mRNA decay is more complex and may involve the cooperative binding of several RNA-binding proteins at different sites.

Base Composition↗
PubMed2007

IDconverter and IDClight: conversion and annotation of gene and protein IDs.

BACKGROUND: Researchers involved in the annotation of large numbers of gene, clone or protein identifiers are usually required to perform a one-by-one conversion for each identifier. When the field of research is one such as microarray experiments, this number may be around 30,000. RESULTS: To help researchers map accession numbers and identifiers among clones, genes, proteins and chromosomal positions, we have designed and developed IDconverter and IDClight. They are two user-friendly, freely available web server applications that also provide additional functional information by mapping the identifiers on to pathways, Gene Ontology terms, and literature references. Both tools are high-throughput oriented and include identifiers for the most common genomic databases. These tools have been compared to other similar tools, showing that they are among the fastest and the most up-to-date. CONCLUSION: These tools provide a fast and intuitive way of enriching the information coming out of high-throughput experiments like microarrays. They can be valuable both to wet-lab researchers and to bioinformaticians.

Algorithms↗
PubMed2001

Tricross : using dot-plots in sequence-id space to detect uncataloged intergenic features.

MOTIVATION: The process of determining the functional sequence content of an organism is confounded by several factors. Large protein coding sequences are relatively easy to find by statistical methods. Smaller proteins however may escape detection due to their size falling below some arbitrary researcher-defined minimum cutoff, or the inability to precisely define a promoter, or translational start (Delcher et al., Nucleic Acids Res., 27, 4636-4641, 1999). Promoter and regulatory sequences themselves are difficult to define due to a significant amount of allowable sequence variation, as well as a probable lack of any completely accurate whole-organismal gene catalogs to date. Finally, certain genes coding functional RNAs may have insufficient structural or sequence constraints to be detectable by normal sequence structure/pattern searching methods (Eddy and Rivas, Bioinformatics, 16, 583-605, 2000). In those cases where there are multiple closely related organisms that have been sequenced, there is additional information that may be used in the investigation of sequence content-that being the possible conserved nature of functional sequences between the organisms. We present a method for the utilization of this conserved information to detect genes and other potentially functional sequences that may be missed by standard ORF-calling, RNA finding, and pattern matching software. The tricross programs produce a multi-way cross comparison of three sets of sequences, determine which are conserved in all three sets, and produce a graphical (Virtual Reality Modelling Language-VRML; (ISO/IEC 14772-1: 1997, VDC), 1997) representation as well as alignments of all sequence triples found. The software can also be applied to a pair of sequence sets, though the noise in the results increases. RESULTS: Tricross has been used to examine the intergenic-sequence content of the three archaeal Pyrococcus genomes to determine the most highly related sequences remaining between the annotated protein and RNA coding sequences. Set to relatively stringent similarity requirements for the search, tricross found 101 intergenic sequences conserved among the three organisms. Interestingly, 29 of these appear to contain members of a family of small RNA molecules (Kiss-Laszlo et al., EMBO J., 17, 797-807, 1998) only recently discovered in the Archaea (Armbruster, OSU, Diss., 1988; Omer et al., Science, 288, 517-522, 2000; Gaspin et al., J. Mol. Biol., 297, 895-906, 2000). While some of the remaining 72 appear to be individual highly conserved promoter sequences, others have no currently known biological significance. Although originally developed to facilitate the examination of intergenic sequences, none of the tricross logic is inherently specific to intergenic sequences. The software can also be applied to gene sequences, and has been used to produce inter-genomic gene order dot-plots for Haemophilus influenzae (Fleischmann et al., Science, 269, 496-512, 1995) versus H.ducreyi (unpublished data), and Neisseria meningiditis Z2491 (serogroup A) (Parkhill et al., Nature, 404, 502-506, 2000) versus Neisseria meningiditis Z58 (serogroup B) (Tettelin et al., Science, 287, 1809-1815, 2000) versus Neisseria gonorrhoeae (Lewis et al., http://micro-gen.ouhsc.edu/, 2000). AVAILABILITY: The tricross software package is available from http://www.biosci.ohio-state.edu/~ray/bioinformatics/tricross.html. CONTACT: ray@biosci.ohio-state.edu; daniels.7@osu.edu; munsonr@pediatrics.ohio-state.edu SUPPLEMENTARY INFORMATION: Additional data from the cross-genomic comparisons examined in the discussion section are linked from http://www.biosci.ohio-state.edu/~ray/bioinformatics/tricross.html.

Base Sequence↗
PubMed2002

Expression profiling in transformed human B cells: influence of Btk mutations and comparison to B cell lymphomas using filter and oligonucleotide arrays.

We have used both Clontech Atlas Human Hematology/Immunology cDNA microarrays, containing 588 genes, and Affymetrix oligonucleotide U95Av2 human array complementary to more than 12,500 genes to get a global view of genes expressed in Epstein-Barr virus (EBV)-transformed B cells and genes regulated by Bruton's tyrosine kinase (Btk). We compared EBV-transformed wild-type (WT) B cells from a healthy individual, WT1 and an X-linked agammaglobulinemia (XLA) patient cell line, XLA1, using the Clontech filters arrays. Eleven genes were > or =1.9-fold induced in absence of functional Btk. Furthermore, we analyzed a second patient cell line, XLA2, and compared this to two WT cell lines using oligonucleotide arrays. A total of 391 genes were found to be differentially expressed, including kinases and transcriptions factors. Furthermore, one expressed sequence tag and eight complementary DNA clones with unknown function were down-regulated in XLA2, indicating their biological role. Higher-fold inductions, Fyn (39.5), Hck (15.5) and Cyp1B1 (5.8), were observed using oligonucleotide array and were confirmed using real-time PCR for Fyn (20.8), Hck (6.7) and Cyp1B1 (10). Two genes, B cell translocation gene1 (BTG1) and B cell-specific OCT binding factor-1 (OBF-1) were induced > or =1.9-fold in both XLA1 and XLA2 analyzed by Atlas filter arrays andAffymetrix chips, respectively. Data from both filter and oligonucleotide arrays were compared to the gene clusters of a previously published lymphoma expression profile by linking to the UniGene transcript database. Our findings demonstrate for the first time the use of microarray to study the influence of Btk mutations and the use of functional annotation and validation of expression data by comparison of microarray analyses.

Agammaglobulinaemia Tyrosine Kinase↗
PubMed2006

A novel function for alternative polyadenylation as a rescue pathway from NMD surveillance.

Premature termination codon (PTC) containing transcripts are subjected to a rapid degradation via nonsense-mediated decay (NMD) surveillance mechanism. By and large degradation is desired in order to prevent the translation of truncated, most likely deleterious, protein. Nevertheless, several dissimilar NMD-rescue events, capable of turning NMD-candidates into NMD-immune, are described. Yet, the extent and nature of this phenomenon is unknown. We screened the human genome for NMD-candidates transcripts. Among which we sub-grouped "pseudo-NMD" genes, which all their annotated transcripts contain PTCs, and therefore allegedly are transcribed but never translated. Here we show that alternative polyadenylation can rescue prematurely terminated transcripts, by truncating the pre-mRNA so that the PTC is now "legally" positioned. ESTs-based analysis shows that NMD-rescued genes are indeed expressed in human tissues. Furthermore, predicted NMD-rescue variants' existence is computationally verified. Hence, we suggest a novel role for the exon-truncated class of alternative polyadenylation as an NMD-rescue regulatory mechanism.

Chromosome Mapping↗
PubMed2004

Microscale protein expression profiling during disease evolvement.

Advances in technology, such as laser capture microdissection (LCM), have allowed for the specific sampling of cells within their natural functional micro-environment. In model systems using LCM, we have studied the global protein expression profiles of airway epithelial cells during a response to allergen provocation. Bronchial epithelial cells were first identified and phenotyped histologically in snap frozen lung samples of experimentally sensitised mice. Consecutive thin sections of whole lung were then sampled using preparative LCM procedures. Lysates of the captured epithelium (7500 shots) or whole lung were prepared for two-dimensional gel electrophoretic separation and 1400 protein spots were annotated by image analysis. Protein identities were established by matching peptide masses detected using matrix-assisted laser desorption ionization time-of-flight MS as well as electrospray ionization MS-MS sequencing. Using the Mascot database of protein/peptide identities high significance scores in terms of sequence coverage (range 22-70%) and number of peptides (range 7-22 peptides/protein) were obtained for approximately 500 proteins, with examples listed in Table 1. In quantitative terms, the LCM procedure allows the statistical sampling of singular populations of cells distributed throughout tissues and organs. The absolute number of cells required for "entry level" measurements of protein profiles will vary over an order of magnitude depending on the physical size and frequency of the cells being studied within each biological compartment as well as the dynamic range of the proteins being measured, and the absolute limits of detection within the technologies being employed.

Animals↗
PubMed2007

SMAUG is a major regulator of maternal mRNA destabilization in Drosophila and its translation is activated by the PAN GU kinase.

In animals, egg activation triggers a cascade of posttranscriptional events that act on maternally synthesized RNAs. We show that, in Drosophila, the PAN GU (PNG) kinase sits near the top of this cascade, triggering translation of SMAUG (SMG), a multifunctional posttranscriptional regulator conserved from yeast to humans. Although PNG is required for cytoplasmic polyadenylation of smg mRNA, it regulates translation via mechanisms that are independent of its effects on the poly(A) tail. Analyses of mutants suggest that PNG relieves translational repression by PUMILIO (PUM) and one or more additional factors, which act in parallel through the smg mRNA's 3' untranslated region (UTR). Microarray-based gene expression profiling shows that SMG is a major regulator of maternal transcript destabilization. SMG-dependent mRNAs are enriched for gene ontology annotations for function in the cell cycle, suggesting a possible causal relationship between failure to eliminate these transcripts and the cell cycle defects in smg mutants.

3' Untranslated Regions↗
PubMed2004

Development and evaluation of an Arabidopsis whole genome Affymetrix probe array.

We describe the development of a high-density Arabidopsis'whole genome' oligonucleotide probe array for expression analysis (the Affymetrix ATH1 GeneChip probe array) that contains approximately 22 750 probe sets. Precedence on the array was given to genes for which either expression evidence or a credible database match existed. The remaining space was filled with 'hypothetical' genes. The new ATH1 array represents approximately 23 750 genes of which 60% were detected in RNA from cultured seedlings. Sensitivity of the array, determined using spiking controls, was approximately one transcript per cell. The array demonstrated high technical reproducibility and concordance with real-time PCR results. Indole-3 acetic acid (IAA)-induced changes in gene expression were used for biological validation of the array. A total of 222 genes were significantly upregulated and 103 significantly downregulated by exposure to IAA. Of the genes whose products could be functionally classified, the largest specific classes of upregulated genes were transcriptional regulators and protein kinases, many fewer of which were represented among the downregulated genes. Over one-third of the auxin-regulated genes have no known function, although many belong to gene families with members that have previously been shown to be auxin regulated. For the 6714 genes represented both on this and the earlier Arabidopsis Genome (AG) array, both signal intensities and gene expression ratios were very similar. Mapping of the oligonucleotides on the ATH1 array to the latest (version 4.0) annotation showed that over 95% of the probe sets (based on version 2.0 annotation) still fully represented their original target genes.

Arabidopsis↗
PubMed2006

Study of the five Rickettsia prowazekii proteins annotated as ATP/ADP translocases (Tlc): Only Tlc1 transports ATP/ADP, while Tlc4 and Tlc5 transport other ribonucleotides.

The obligate intracytoplasmic pathogen Rickettsia prowazekii relies on the transport of many essential compounds from the cytoplasm of the eukaryotic host cell in lieu of de novo synthesis, an evolutionary outcome undoubtedly linked to obligatory growth in this metabolite-replete niche. The paradigm for the study of rickettsial transport systems is the ATP/ADP translocase Tlc1, which exchanges bacterial ADP for host cell ATP as a source of energy, rather than as a source of adenylate. Interestingly, the R. prowazekii genome encodes four open reading frames that are highly homologous to the well-characterized ATP/ADP translocase Tlc1. Therefore, by annotation, the R. prowazekii genome encodes a total of five ATP/ADP translocases: Tlc1, Tlc2, Tlc3, Tlc4, and Tlc5. We have confirmed by quantitative reverse transcriptase PCR that mRNAs corresponding to all five tlc homologues are expressed in R. prowazekii growing in L-929 cells and have shown their heterologous protein expression in Escherichia coli, suggesting that none of the tlc genes are pseudogenes in the process of evolutionary meltdown. However, we demonstrate by heterologous expression in E. coli that only Tlc1 functions as an ATP/ADP transporter. A survey of nucleotides and nucleosides has determined that Tlc4 transports CTP, UTP, and GDP. Intriguingly, although GTP was not transported by Tlc4, it was an inhibitor of CTP and UTP uptake and demonstrated a K(i) similar to that of GDP. In addition, we demonstrate that Tlc5 transports GTP and GDP. We postulate that Tlc4 and Tlc5 serve the primary function of maintaining intracellular pools of nucleotides for rickettsial nucleic acid biosynthesis and do not provide the cell with nucleoside triphosphates as an energy source, as is the case for Tlc1. Although heterologous expression of Tlc2 and Tlc3 was observed in E. coli, we were unable to identify substrates for these proteins.

Adenosine Diphosphate↗
PubMed2004

GOToolBox: functional analysis of gene datasets based on Gene Ontology.

We have developed methods and tools based on the Gene Ontology (GO) resource allowing the identification of statistically over- or under-represented terms in a gene dataset; the clustering of functionally related genes within a set; and the retrieval of genes sharing annotations with a query gene. GO annotations can also be constrained to a slim hierarchy or a given level of the ontology. The source codes are available upon request, and distributed under the GPL license.

Animals↗
PubMed2006

Automatic annotation of eukaryotic genes, pseudogenes and promoters.

BACKGROUND: The ENCODE gene prediction workshop (EGASP) has been organized to evaluate how well state-of-the-art automatic gene finding methods are able to reproduce the manual and experimental gene annotation of the human genome. We have used Softberry gene finding software to predict genes, pseudogenes and promoters in 44 selected ENCODE sequences representing approximately 1% (30 Mb) of the human genome. Predictions of gene finding programs were evaluated in terms of their ability to reproduce the ENCODE-HAVANA annotation. RESULTS: The Fgenesh++ gene prediction pipeline can identify 91% of coding nucleotides with a specificity of 90%. Our automatic pseudogene finder (PSF program) found 90% of the manually annotated pseudogenes and some new ones. The Fprom promoter prediction program identifies 80% of TATA promoters sequences with one false positive prediction per 2,000 base-pairs (bp) and 50% of TATA-less promoters with one false positive prediction per 650 bp. It can be used to identify transcription start sites upstream of annotated coding parts of genes found by gene prediction software. CONCLUSION: We review our software and underlying methods for identifying these three important structural and functional genome components and discuss the accuracy of predictions, recent advances and open problems in annotating genomic sequences. We have demonstrated that our methods can be effectively used for initial automatic annotation of the eukaryotic genome.

Animals↗
PubMed2003

In silico analysis of the EPS8 gene family: genomic organization, expression profile, and protein structure.

EPS8 codes for a protein essential in Ras to Rac signaling leading to actin remodeling. Three genes highly homologous to EPS8 were discovered, thereby defining a novel gene family. Here, we report the genomic structure of EPS8 and the EPS8-related genes in human and mouse. We performed BLASTN searches against the Celera Human Genome and Mouse Fragments Database. The mouse fragments were manually assembled, and the organization of both human and mouse genes was reconstructed. The gene structures in Celera annotations of the human and mouse genomes were compared to outline correspondences and divergences. We also compared the EPS8 family gene structures predicted by Celera with those predicted by NCBI. Moreover, we performed a virtual analysis of the expression of the EPS8 gene family members by using the SAGEmap Database in NCBI. Finally, we analyzed the domain organization of the gene products and their evolutionary conservation to define novel putative domains, thereby helping to predict novel modality of action for the members of this gene family. The data obtained will be instrumental in directing further experimental functional characterization of these genes.

Adaptor Proteins, Signal Transducing↗
PubMed1999

Prediction of potential GPI-modification sites in proprotein sequences.

Glycosylphosphatidylinositol (GPI) lipid anchoring is a common posttranslational modification known mainly from extracellular eukaryotic proteins. Attachment of the GPI moiety to the carboxyl terminus (omega-site) of the polypeptide follows after proteolytic cleavage of a C-terminal propeptide. For the first time, a new prediction technique locating potential GPI-modification sites in precursor sequences has been applied for large-scale protein sequence database searches. The composite prediction function (with separate parametrisation for metazoan and protozoan proteins) consists of terms evaluating both amino acid type preferences at sequence positions near a supposed omega-site as well as the concordance with general physical properties encoded in multi-residue correlation within the motif sequence. The latter terms are especially successful in rejecting non-appropriate sequences from consideration. The algorithm has been validated with a self-consistency and two jack-knife tests for the learning set of fully annotated sequences from the SWISS-PROT database as well as with a newly created database "big-Pi" (more than 300 GPI-motif mutations extracted from original literature sources). The accuracy of predicting the effect of mutations in the GPI sequence motif was above 83 %. Lists of potential precursor proteins which are non-annotated in SWISS-PROT and SPTrEMBL are presented on the WWW-page http://www.embl-heidelberg.de/beisenha/gpi/gpi_p rediction. html The algorithm has been implemented in the prototype software "big-Pi predictor" which may find application as a genome annotation and target selection tool.

Algorithms↗
PubMed2006

Identification of novel genes regulated in the developing human ventral mesencephalon.

In the human embryo, from approximately 6 weeks gestational age (GA), dopaminergic (DA) neurons can be found in the ventral mesencephalon (VM). More specifically, the post-mitotic neurons are located in the ventral part of the tegmentum (VT), whereas no mature DA neurons are found in the neighboring dorsal part. We used Affymetrix HG-U133 GeneChip technology to compare genome-wide expression profiles of ventral and dorsal tegmentum from 8 weeks GA human embryos, in order to identify genes involved in specification, differentiation, and survival of mesencephalic DA (mDA) neurons. Known mDA marker genes including ALDH1A1, DAT1, VMAT2, TH, CALB1, NURR1, FOXA1, GIRK2, PITX3, RET, and DRD2 topped the list of 96 genes from HG-U133A with higher expression in VT, validating the experimental set-up. In addition, 28 probes from HG-U133B were identified whereof most are annotated to UniGene clusters with no gene associated or to genes of unknown function. Of these, the fifteen most regulated transcripts, representing changes down to 56% could be verified by quantitative real-time PCR (Q-PCR) on a developmental series of subdissected human embryonic and fetal brain material, resulting in not only a regional but also a temporal expression profile. This revealed a distinct DA-associated profile for in particular a putative transcription factor (FLJ45455) and the uncharacterized transmembrane proteins KIAA1145 and SLC10A4. The data presented here may help to device cell replacement and regenerative therapies for Parkinson's disease (PD).

Cluster Analysis↗
PubMed2025

De novo discovery of conserved gene clusters in microbial genomes with Spacedust.

Metagenomics has revolutionized environmental and human-associated microbiome studies. However, the limited fraction of proteins with known biological processes and molecular functions presents a major bottleneck. In prokaryotes and viruses, evolution favors keeping genes participating in the same biological processes colocalized as conserved gene clusters. Conversely, conservation of gene neighborhood indicates functional association. Here we present Spacedust, a tool for systematic, de novo discovery of conserved gene clusters. To find homologous protein matches, Spacedust uses fast and sensitive structure comparison with Foldseek. Partially conserved clusters are detected using novel clustering and order conservation P values. We demonstrate Spacedust's sensitivity with an all-versus-all analysis of 1,308 bacterial genomes, identifying 72,843 conserved gene clusters containing 58% of the 4.2 million genes. It recovered 95% of antiviral defense system clusters annotated by the specialized tool PADLOC. Spacedust's high sensitivity and speed will facilitate the annotation of large numbers of sequenced bacterial, archaeal and viral genomes.

Metagenomics↗
PubMed2005

Bioinformatic analyses implicate the collaborating meiotic crossover/chiasma proteins Zip2, Zip3, and Spo22/Zip4 in ubiquitin labeling.

Zip2 and Zip3 are meiosis-specific proteins that, in collaboration with several partners, act at the sites of crossover-designated, axis-associated recombinational interactions to mediate crossover/chiasma formation. Here, Spo22 (also called Zip4) is identified as a probable functional collaborator of Zip2/3. The molecular roles of Zip2, Zip3, and Spo22/Zip4 are unknown. All three proteins are part of a small evolutionary cohort comprising similar homologs in four related yeasts. Zip3 is shown to contain a RING finger whose structural features most closely match those of known ubiquitin E3s. Further, Zip3 exhibits major domainal homologies to Rad18, a known DNA-binding ubiquitin E3. Also described is an approach to the identification and mapping of repeated protein sequence motifs, Alignment Based Repeat Annotation (ABRA), that we have developed. When ABRA is applied to Zip2 and Spo22/Zip4, they emerge as a 14-blade WD40-like repeat protein and a 22-unit tetratricopeptide repeat protein, respectively. WD40 repeats of Cdc20, Cdh1, and Cdc16 and tetratricopeptide repeats of Cdc16, Cdc23, and Cdc27, all components of the anaphase-promoting complex, are also analyzed. These and other findings suggest that Zip2, Zip3, and Zip4 act together to mediate a process that involves Zip3-mediated ubiquitin labeling, potentially as a unique type of ubiquitin-conjugating complex.

Amino Acid Sequence↗