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Discovery of virulence genes of Legionella pneumophila by using signature tagged mutagenesis in a guinea pig pneumonia model.

Legionella pneumophila is the cause of Legionnaires' disease, which is a form of potentially fatal pneumonia. To identify genes required for virulence of the bacterium, a library of 1,386 L. pneumophila signature tagged transposon mutants was studied for guinea pig virulence. The mutants were screened in pools of 96 each in a guinea pig model of L. pneumophila pneumonia. Sixteen unique mutant clones were determined to have attenuated virulence after being screened twice in the animal model. All 16 mutants failed to multiply in both lungs and spleens. Four of the sixteen had no apparent defect for intracellular multiplication in macrophages. Partial DNA sequences of the interrupted genes adjacent to the transposon insertions showed that six of them had mutations in five known L. pneumophila virulence genes: dotB, dotF/icmG, dotO/icmB, icmX, and proA. Three of the sequenced clones contained mutations in genes without known homology to other published bacterial genes, and seven clones appeared to be homologous to five different known bacterial genes but are still being characterized. With this methodology, we demonstrate the existence of L. pneumophila genes responsible for non-macrophage-related virulence. The discovery of L. pneumophila virulence genes indicates the utility of the signature tagged mutagenesis technique for pulmonary pathogens.

Animals↗

Mapping the kidney potassium channel ROMK1. Glycosylation of the pore signature sequence and the COOH terminus.

ROMK1, also known as Kir 1.1, is an inwardly rectifying K+ channel and is the prototypical member of the large Kir gene family. The accepted model of Kir topology predicts intracellular NH2 and COOH termini, and two membrane-spanning segments, M1 and M2, connected by an intramembranous pore-forming segment, H5. The sequence of H5 is similar in voltage-dependent K+ channels and features a strictly conserved GY/FG in its mid-region, which has been proposed as the selectivity filter of the pore. We have been using N-glycosylation substitution mutants to map the extracellular topology of ROMK1 biochemically and have described several loci in H5 that were glycosylated. We now report glycosylation at loci Tyr144 and Phe146, which indicates that the signature GYG sequence (143-145) rather than being intramembranous is extracellular. The COOH terminus was predicted to begin at position 178, but contrary to the model, we observed that position 257 was glycosylated and surrounding positions at 199, 222, and 298 were unglycosylated. N-Glycosylation sequon substitution at the latter three positions abolished K+/Na+ selectivity. Our results suggest a major revision of the topology of ROMK1 with H5 and the pore signature sequence now completely extracellular. The COOH terminus appears to form two additional membrane-spanning segments and to contribute to the ion conduction pathway.

Amino Acid Sequence↗

Functional significance of the "signature cysteine" in helix 8 of the Escherichia coli 4-aminobutyrate transporter from the amine-polyamine-choline superfamily. Restoration of Cys-300 to the Cys-less Gabp.

gab permease (GabP) is the exclusive mediator of 4-aminobutyrate (GABA) transport across the Escherichia coli plasma membrane. Helix 8 and a portion of the adjoining cytoplasmic region (loop 8-9) constitute the GabP "consensus amphipathic region" (CAR), a potential channel-forming domain that is found to be evolutionarily conserved within the APC (amine-polyamine-choline) transporter superfamily. Upon the polar surface of the CAR, all known gab permeases display a "signature cysteine" not found in other members of the APC superfamily, suggesting that discrete features within the CAR might play a role in imparting specificity (kcat/Km) to the translocation reaction. Here we show that among the five cysteine residues in the E. coli GabP, only Cys-300, the signature cysteine, can restore wild type properties to the Cys-less GabP mutant. We conclude (i) from partial reaction studies (equilibrium exchange, counterflow) that rapid translocation of the GABA binding site from one side of the membrane to the other is greatly facilitated by Cys-300 and (ii) from pharmacological studies that loss of Cys-300 has little effect on the affinity that GabP exhibits for a structurally diverse array (kojic amine, 5-aminovaleric acid, GABA, nipecotic acid, and cis-4-aminocrotonic acid) of competitive ligands. These results raise the possibility that other GABA transporters might rely analogously upon conserved cysteine residues positioned within the amphipathic helix 8 and loop 8-9 regions.

Amino Acid Sequence↗

Functional role of fatty acyl-coenzyme A synthetase in the transmembrane movement and activation of exogenous long-chain fatty acids. Amino acid residues within the ATP/AMP signature motif of Escherichia coli FadD are required for enzyme activity and fatty acid transport.

Fatty acyl-CoA synthetase (FACS, fatty acid:CoA ligase, AMP forming; EC ) plays a central role in intermediary metabolism by catalyzing the formation of fatty acyl-CoA. In Escherichia coli this enzyme, encoded by the fadD gene, is required for the coupled import and activation of exogenous long-chain fatty acids. The E. coli FACS (FadD) contains two sequence elements, which comprise the ATP/AMP signature motif ((213)YTGGTTGVAKGA(224) and (356)GYGLTE(361)) placing it in the superfamily of adenylate-forming enzymes. A series of site-directed mutations were generated in the fadD gene within the ATP/AMP signature motif site to evaluate the role of this conserved region to enzyme function and to fatty acid transport. This approach revealed two major classes of fadD mutants with depressed enzyme activity: 1) those with 25-45% wild type activity (fadD(G216A), fadD(T217A), fadD(G219A), and fadD(K222A)) and 2) those with 10% or less wild-type activity (fadD(Y213A), fadD(T214A), and fadD(E361A)). Using anti-FadD sera, Western blots demonstrated the different mutant forms of FadD that were present and had localization patterns equivalent to the wild type. The defect in the first class was attributed to a reduced catalytic efficiency although several mutant forms also had a reduced affinity for ATP. The mutations resulting in these biochemical phenotypes reduced or essentially eliminated the transport of exogenous long-chain fatty acids. These data support the hypothesis that the FACS FadD functions in the vectorial movement of exogenous fatty acids across the plasma membrane by acting as a metabolic trap, which results in the formation of acyl-CoA esters.

Adenosine Monophosphate↗

Potassium functionally replaces the second lysine of the KMSKS signature sequence in human tyrosyl-tRNA synthetase.

Unlike their bacterial homologues, a number of eukaryotic tyrosyl-tRNA synthetases require potassium to catalyze the aminoacylation reaction. In addition, the second lysine in the class I-specific KMSKS signature motif is absent from all known eukaryotic tyrosyl-tRNA synthetase sequences, except those of higher plants. This lysine, which is the most highly conserved residue in the class I aminoacyl-tRNA synthetase family, has been shown to interact with the pyrophosphate moiety of the ATP substrate in the Bacillus stearothermophilus tyrosyl-tRNA synthetase. Equilibrium dialysis and pre-steady-state kinetic analyses were used to determine the role that potassium plays in the tyrosine activation reaction in the human tyrosyl-tRNA synthetase and whether it can be replaced by any of the other alkali metals. Kinetic analyses indicate that potassium interacts with the pyrophosphate moiety of ATP, stabilizing the E.Tyr.ATP and E.[Tyr-ATP] complexes by 2.3 and 4.3 kcal/mol, respectively. Potassium also appears to stabilize the asymmetric conformation of the human tyrosyl-tRNA synthetase dimer by 0.7 kcal/mol. Rubidium is the only other alkali metal that can replace potassium in catalyzing tyrosine activation, although the forward rate constant is half of that observed when potassium is present. The above results are consistent with the hypothesis that potassium functionally replaces the second lysine in the KMSKS signature sequence. Possible implications of these results with respect to the design of antibiotics that target bacterial aminoacyl-tRNA synthetases are discussed.

Amino Acid Motifs↗

Synergy between conserved ABC signature Ser residues in P-glycoprotein catalysis.

Functional roles of the two ABC signature sequences ("LSGGQ") in the N- and C-terminal nucleotide binding domains of P-glycoprotein were studied by mutating the conserved Ser residues to Ala. The two single mutants (S528A; S1173A) each impaired ATPase activity mildly, and showed generally symmetrical effects on function, consistent with equivalent mechanistic roles of the two nucleotide sites. Synergy between the two mutations when combined was remarkable and resulted in strong catalytic impairment. The Ser residues are not involved significantly in MgATP- or MgADP-binding or in interdomain communication between catalytic sites and drug binding sites. Retention of product MgADP is not the cause of reduced turnover. Mutation of Ser to Ala reduced the strength of interaction with the chemical transition state specifically, as shown by vanadate-ADP and beryllium fluoride-ADP trapping experiments. Therefore, the two conserved ABC signature motif Ser residues of P-glycoprotein cooperatively accelerate ATP hydrolysis via chemical transition state interaction. Because the transition state complex is currently believed to form in the dimerized state of the nucleotide binding domains, one may also conclude that both Ser-OH are necessary for correct formation of the dimer state.

ATP Binding Cassette Transporter, Subfamily B, Mem↗

Functional non-equivalence of ATP-binding cassette signature motifs in the transporter associated with antigen processing (TAP).

The transporter associated with antigen processing (TAP) is a key component of the cellular immune system. As a member of the ATP-binding cassette (ABC) superfamily, TAP hydrolyzes ATP to energize the transport of peptides from the cytosol into the lumen of the endoplasmic reticulum. TAP is composed of TAP1 and TAP2, each containing a transmembrane domain and a nucleotide-binding domain (NBD). Here we investigated the role of the ABC signature motif (C-loop) on the functional non-equivalence of the NBDs, which contain a canonical C-loop (LSGGQ) for TAP1 and a degenerate C-loop (LAAGQ) for TAP2. Mutation of the leucine or glycine (LSGGQ) in TAP1 fully abolished peptide transport. However, TAP complexes with equivalent mutations in TAP2 still showed residual peptide transport activity. To elucidate the origin of the asymmetry of the NBDs of TAP, we further examined TAP complexes with exchanged C-loops. Strikingly, the chimera with two canonical C-loops showed the highest transport rate whereas the chimera with two degenerate C-loops had the lowest transport rate, demonstrating that the ABC signature motifs control peptide transport efficiency. All single site mutants and chimeras showed similar activities in peptide or ATP binding, implying that these mutations affect the ATPase activity of TAP. In addition, these results prove that the serine of the C-loop is not essential for TAP function but rather coordinates, together with other residues of the C-loop, the ATP hydrolysis in both nucleotide-binding sites.

ATP Binding Cassette Transporter, Subfamily B, Mem↗

A Methanocaldococcus jannaschii archaeal signature gene encodes for a 5-formaminoimidazole-4-carboxamide-1-beta-D-ribofuranosyl 5'-monophosphate synthetase. A new enzyme in purine biosynthesis.

We have identified and characterized a new member of the ATP-grasp enzyme family that catalyzes the ATP- and formate-dependent formylation of 5-aminoimidazole-4-carboxamide-1-beta-D-ribofuranosyl 5'-monophosphate (AICAR) to 5-formaminoimidazole-4-carboxamide-1-beta-D-ribofuranosyl 5'-monophosphate (FAICAR) in the absence of folates. The enzyme, which we designate as PurP, is the product of the Methanocaldococcus jannaschii purP gene (MJ0136), which is a signature gene for Archaea. As is characteristic of reactions catalyzed by this family of enzymes, the other products of the reaction, ADP and P(i), were produced stoichiometrically with the amount of ATP, formate, and AICAR used. Formyl phosphate was found to substitute for ATP and formate in the reaction, yet the methylene analog, phosphonoacetaldehyde, was not an inhibitor or substrate for the reaction. The enzyme, along with PurO, which catalyzes the cyclization of FAICAR to inosine 5'-monophosphate, catalyzes the same overall transformation in purine biosynthesis as is accomplished by PurH in bacteria and eukaryotes. No homology exists between PurH and either PurO or PurP. 1H NMR and gas chromatography-mass spectrometry analysis of an M. jannaschii cell extract showed the presence of free formate that can be used by the enzyme for purine biosynthesis. This formate arises by the reduction of CO2 with hydrogen; this was demonstrated by incorporating 13C into the formate when M. jannaschii cell extracts were incubated with H13CO3- and hydrogen gas. The presence of this signature gene in all of the Archaea indicates the presence of a purine biosynthetic pathway proceeding in the absence of folate coenzymes.

Adenosine Triphosphate↗

Prognostic and immunological implications of sialylation-associated gene signatures in hepatocellular carcinoma.

OBJECTIVE: The absence of effective biomarkers continues to limit early diagnostic accuracy and prognostic evaluation in patients with hepatocellular carcinoma (HCC). Aberrant sialylation (SI) has been demonstrated to contribute to therapeutic resistance and tumor progression. The aim of this investigation was to identify a sialylation-related gene (SRG) signature, evaluate its prognostic significance, and investigate associated immunological characteristics in HCC. METHODS: Transcriptomic profiles and corresponding clinical data for patients with HCC were obtained from UCSC Xena, the International Cancer Genome Consortium (ICGC), and the Molecular Signatures Database (MsigDB). Differential expression analysis, Cox regression analysis modeling, and least absolute shrinkage and selection operator (LASSO) regression analysis were applied to identify independent prognostic markers and develop predictive models. The tumor immune microenvironment and its relationship with the identified SRGs were assessed by evaluating immune infiltration patterns. A gene co-expression network for the prognostic SRGs was constructed using GeneMANIA to identify potentially targetable signaling pathways. RESULTS: Four SRGs (ST6GALNAC4, B4GALT5, B4GALNT1, and NEU1) were significantly associated with the prognosis of patients with HCC. Prognostic models constructed using these genes demonstrated strong predictive performance. Notable differences were observed in immune cell populations and immune checkpoint expression between the high-risk and low-risk groups. Additionally, the half-maximal inhibitory concentration values for 101 therapeutic compounds varied between these groups. Lipopolysaccharide and sphingolipid metabolism were identified as key biological processes linked to tumor progression and modulation of the immune microenvironment. CONCLUSION: The four identified SRGs were significantly associated with clinical outcomes and immunological features in HCC. These findings provide a foundation for advancing early diagnostic strategies, refining prognostic assessments, and guiding personalized therapeutic approaches for patients with HCC.

Humans↗

A review of US EPA and FDA requirements for electronic records, electronic signatures, and electronic submissions.

Both the United States Environmental Protection Agency (EPA) and the U.S. Food and Drug Administration (FDA) have issued regulatory documents that address the issues and requirements concerning electronic reporting to the Agencies. EPA has published two comprehensive and useful electronic data interchange (EDI) guidelines: 1) the EPA Electronic Data Interchange (EDI) Implementation Guideline, Draft of September 23, 1994 and October 18, 1994 that is available at the following EPA web site address: www.epa.gov/oppeedi1/guidelines/general.pdf and 2) the Interim Final Notice, Filing of Electronic Reports via Electronic Data Interchange, September 4, 1996, Federal Register Notice [FRL-5601-4, Volume 61, Number 172, page 46684], also available at: www.epa.gov/oppeedi1/edipoli.htm. The FDA has published a guidance document titled, "Guidance for Industry, Computerized Systems Used in Clinical Trials, April 1999" that is available at FDA's web site: www.fda.gov/ora/compliance_ref/bimo/ffinalcct.++ +htm. FDA's guidance document addresses a number of issues for electronic records that are applicable to all areas of GLP compliance. Another FDA document presently under development is titled, "Electronic Standards for the Transmission of Regulatory Information (ESTRI) Gateway." The ESTRI document defines strategic plans for electronic submissions to FDA. FDA has published a guidance document in this area titled, "Guidance for Industry: Providing Regulatory Submissions in Electronic Format--General Considerations, January 1999." This guidance document is available at: www.fda.gov/cder/guidance/index.htm. FDA has also published an important final rule applicable to all electronic records and signatures that is part of the U.S. Title 21 Code of Federal Regulations (CFR), Part 11, titled, "FDA's Final Rule, Electronic Records; Electronic Signatures, effective August 20, 1997." This FDA ruling is discussed below and is available at: www.fda.gov/cder/esig/index.htm.

Authorship↗

Interferon and granulopoiesis signatures in systemic lupus erythematosus blood.

Systemic lupus erythematosus (SLE) is a prototype systemic autoimmune disease characterized by flares of high morbidity. Using oligonucleotide microarrays, we now show that active SLE can be distinguished by a remarkably homogeneous gene expression pattern with overexpression of granulopoiesis-related and interferon (IFN)-induced genes. Using the most stringent statistical analysis (Bonferroni correction), 15 genes were found highly up-regulated in SLE patients, 14 of which are targets of IFN and one, defensin DEFA-3, a major product of immature granulocytes. A more liberal correction (Benjamini and Hochberg correction) yielded 18 additional genes, 12 of which are IFN-regulated and 4 granulocyte-specific. Indeed immature neutrophils were identified in a large fraction of SLE patients white blood cells. High dose glucocorticoids, a standard treatment of disease flares, shuts down the interferon signature, further supporting the role of this cytokine in SLE. The expression of 10 genes correlated with disease activity according to the SLEDAI. The most striking correlation (P < 0.001, r = 0.55) was found with the formyl peptide receptor-like 1 protein that mediates chemotactic activities of defensins. Therefore, while the IFN signature confirms the central role of this cytokine in SLE, microarray analysis of blood cells reveals that immature granulocytes may be involved in SLE pathogenesis.

Child↗

Complex signatures of natural selection at the Duffy blood group locus.

The Duffy blood group locus (FY) has long been considered a likely target of natural selection, because of the extreme pattern of geographic differentiation of its three major alleles (FY*B, FY*A, and FY*O). In the present study, we resequenced the FY region in samples of Hausa from Cameroon (fixed for FY*O), Han Chinese (fixed for FY*A), Italians, and Pakistanis. Our goals were to characterize the signature of directional selection on FY*O in sub-Saharan Africa and to understand the extent to which natural selection has also played a role in the extreme geographic differentiation of the other derived allele at this locus, FY*A. The data from the FY region are compared with the patterns of variation observed at 10 unlinked, putatively neutral loci from the same populations, as well as with theoretical expectations from the neutral-equilibrium model. The FY region in the Hausa shows evidence of directional selection in two independent properties of the data (i.e., level of sequence variation and frequency spectrum), observations that are consistent with the FY*O mutation being the target. The Italian and Chinese FY data show patterns of variation that are very unusual, particularly with regard to frequency spectrum and linkage disequilibrium, but do not fit the predictions of any simple model of selection. These patterns may represent a more complex and previously unrecognized signature of positive selection.

Alleles↗

A serum protein signature with high diagnostic value in bacterial endocarditis: results from a study based on surface-enhanced laser desorption/ionization time-of-flight mass spectrometry.

BACKGROUND: Bacterial endocarditis is a serious disease. Surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry (MS) based on serum protein profiling is a powerful approach that can generate biomarkers with diagnostic value. METHODS: To identify a protein signature associated with bacterial endocarditis, we retrospectively performed SELDI-TOF MS profiling of serum samples from 88 patients hospitalized because of clinical suspicion of endocarditis. The diagnosis was confirmed by conventional criteria for 34 patients (endocarditis positive) and was excluded for 54 patients (endocarditis negative). Serum samples were incubated with cation-exchange ProteinChip arrays. The protein profiles generated were subjected to biostatistical processing. RESULTS: Fifty-nine samples (23 endocarditis positive and 36 endocarditis negative) were randomly selected for a learning set, with the 29 remaining samples (11 endocarditis positive and 18 endocarditis negative) serving as an independent testing (validation) set. Sixty-six protein peaks were differentially expressed between the endocarditis-positive and the endocarditis-negative patients. By combining partial least squares and logistic regression methods, we built a serum protein model that perfectly discriminated between endocarditis-positive and endocarditis-negative patients. Importantly, when this model was tested on the independent testing set, a correct prediction rate of nearly 90% was demonstrated. Overall, sensitivity, specificity, positive predictive value, and negative predictive value were 94%, 98%, 96%, and 96%, respectively. CONCLUSIONS: SELDI-TOF MS profiling revealed a serum signature with high diagnostic potential for endocarditis.

Adolescent↗

Time-frequency based newborn EEG seizure detection using low and high frequency signatures.

The nonstationary and multicomponent nature of newborn EEG seizures tend to increase the complexity of the seizure detection problem. In dealing with this type of problem, time-frequency based techniques were shown to outperform classical techniques. Neonatal EEG seizures have signatures in both low frequency (lower than 10 Hz) and high frequency (higher than 70 Hz) areas. Seizure detection techniques have been proposed that concentrate on either low frequency or high frequency signatures of seizures. They, however, tend to miss seizures that reveal themselves only in one of the frequency areas. To overcome this problem, we propose a detection method that uses time-frequency seizure features extracted from both low and high frequency areas. Results of applying the proposed method on five newborn EEGs are very encouraging.

Diagnosis, Differential↗

InterProScan--an integration platform for the signature-recognition methods in InterPro.

UNLABELLED: InterProScan is a tool that scans given protein sequences against the protein signatures of the InterPro member databases, currently--PROSITE, PRINTS, Pfam, ProDom and SMART. The number of signature databases and their associated scanning tools as well as the further refinement procedures make the problem complex. InterProScan is designed to be a scalable and extensible system with a robust internal architecture. AVAILABILITY: The Perl-based InterProScan implementation is available from the EBI ftp server (ftp://ftp.ebi.ac.uk/pub/software/unix/iprscan/) and the SRS-basedInterProScan is available upon request. We provide the public web interface (http://www.ebi.ac.uk/interpro/scan.html) as well as email submission server (interproscan@ebi.ac.uk).

Database Management Systems↗

A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer.

MOTIVATION: A number of algorithms and analytical models have been employed to reduce the multidimensional complexity of DNA array data and attempt to extract some meaningful interpretation of the results. These include clustering, principal components analysis, self-organizing maps, and support vector machine analysis. Each method assumes an implicit model for the data, many of which separate genes into distinct clusters defined by similar expression profiles in the samples tested. A point of concern is that many genes may be involved in a number of distinct behaviours, and should therefore be modelled to fit into as many separate clusters as detected in the multidimensional gene expression space. The analysis of gene expression data using a decomposition model that is independent of the observer involved would be highly beneficial to improve standard and reproducible classification of clinical and research samples. RESULTS: We present a variational independent component analysis (ICA) method for reducing high dimensional DNA array data to a smaller set of latent variables, each associated with a gene signature. We present the results of applying the method to data from an ovarian cancer study, revealing a number of tissue type-specific and tissue type-independent gene signatures present in varying amounts among the samples surveyed. The observer independent results of such molecular analysis of biological samples could help identify patients who would benefit from different treatment strategies. We further explore the application of the model to similar high-throughput studies.

Algorithms↗

Detection of hydrogen-bond signature patterns in protein families.

SUMMARY: We have developed a WWW server, HBPRINT, for the identification of hydrogen-bond signature patterns in protein families from their structures. The server calculates (a) common hydrogen bonds between two structures (b) a hydrogen-bond fingerprint in a set of structural neighbours and (c) details of conserved hydrogen bonds. The server also enables the visualization of the hydrogen bond network comprising the signature pattern. AVAILABILITY: HBPRINT and a tutorial are available from http://144.16.93.115/hb_page/index.html.

Algorithms↗

HUMESS: integrating quantitative transcriptomic analysis and metabolic modeling to unveil condition-specific gene signatures.

SUMMARY: Transcriptomic analysis is a key tool for exploring gene expression, but the complexity of biological systems often limits its insights. In particular, the lack of intermodal or multi-layered analysis hinders the ability to fully capture key cellular functions such as metabolism from transcriptomic data alone. Here, we introduce a novel approach that informs transcriptomic data analysis with metabolic network modeling to address this. Unlike traditional methods, HUman MEtabolism Specific Signature (HUMESS) uses genome-scale metabolic modeling and flux analysis to highlight reactions and involved genes based on their metabolic significance, offering a deeper understanding of transcriptomic data. Our computational pipeline, supported by a user-friendly Rshiny application, enhances gene expression analysis by uncovering metabolic phenotypic signatures. AVAILABILITY AND IMPLEMENTATION: HUMESS is open source and available under GitLab https://gitlab.univ-nantes.fr/bird_pipeline_registry/humess with the complete documentation available at https://gitlab.univ-nantes.fr/bird_pipeline_registry/humess/-/wikis/Home. A zenodo archive is also available at the following DOI: https://doi.org/10.5281/zenodo.15487717. An RShiny application has been developed to facilitate the exploration and analysis of HUMESS's results. The app is available online at the following address: https://shiny-bird.univ-nantes.fr/app/shinymess but can also be installed locally, available under GitLab https://gitlab.univ-nantes.fr/pare-l/shinymess.

Humans↗