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The ABC-transporter signature motif is required for peptide translocation but not peptide binding by TAP.

The transporter associated with antigen processing (TAP) translocates peptides from their site of generation in the cytosol to the lumen of the endoplasmic reticulum for binding to MHC class I molecules. TAP is a member of the ATP-binding cassette (ABC) transporter family whose members utilize energy from ATP hydrolysis to translocate substrates across membranes. The highly conserved nucleotide-binding domains of ABC transporters couple ATP hydrolysis to substrate translocation by the membrane domains. The conserved 'signature motif' can be identified in the nucleotide-binding domains of all ABC transporters, and may play a role in ATP hydrolysis. Here we show that introduction of mutations into the signature motifs of either TAP1 or TAP2 inhibits the translocation of peptide without affecting binding of either peptide or ATP by TAP. We therefore conclude that the signature motifs in both TAP1 and TAP2 are required after peptide binding to facilitate peptide translocation by TAP.

ATP Binding Cassette Transporter, Subfamily B, Mem↗

Metagenome-Based Characterization of the Gut Virome Signatures in Patients With Gout.

The gut microbiome has been implicated in the development of autoimmune diseases, including gout. However, the role of the gut virome in gout pathogenesis remains underexplored. We employed a reference-dependent virome approach to analyze fecal metagenomic data from 102 gout patients (77 in the discovery cohort and 25 in the validation cohort) and 86 healthy controls (HCs) (63 and 23 in each cohort). A subset of gout patients in the discovery cohort provided longitudinal samples at Weeks 2, 4, and 24. Our analysis revealed significant alterations in the gut virome of gout patients, including reduced viral richness and shifts in viral family composition. Notably, Siphoviridae, Myoviridae, and Podoviridae were depleted, while Quimbyviridae, Retroviridae, and Schitoviridae were enriched in gout patients. We identified 359 viral operational taxonomic units (vOTUs) associated with gout. Enriched vOTUs in gout patients predominantly consisted of Fusobacteriaceae, Bacteroidaceae, and Selenomonadaceae phages, while control-enriched vOTUs included Ruminococcaceae, Oscillospiraceae, and Enterobacteriaceae phages. Longitudinal analysis revealed that a substantial proportion of these virome signatures remained stable over 6 months. Functional profiling highlighted the enrichment of viral auxiliary metabolic genes, suggesting potential metabolic interactions between viruses and host bacteria. Notably, gut virome signatures effectively discriminated gout patients from HCs, with high classification performance in the validation cohort. This study provides the first comprehensive characterization of the gut virome in gout, revealing its potential role in disease pathogenesis and highlighting virome-based signatures as promising biomarkers for gout diagnosis and future therapeutic strategies.

Humans↗

Identification of a plasma proteomic signature to distinguish pediatric osteosarcoma from benign osteochondroma.

Osteosarcoma (OS) is the most common malignant bone tumor in children. To identify a plasma proteomic signature that can detect OS, we used SELDI MS to perform proteomic profiling on plasma specimens from 29 OS and 20 age-matched osteochondroma (OC) patients. Nineteen statistically significant ion peaks that were differentially expressed in OS when compared with OC patients were identified (p < 0.001 and false discovery rate < 10%). Using the proteomic profiles, we constructed a multivariate 3-nearest neighbors classifier to distinguish OS from OC patients with a sensitivity of 97% and a specificity of 80% based on external leave-one-out crossvalidation. Permutation test showed that the classification result was statistically significant (p < 0.00005). One of the proteins (m/z 11 704) in the proteomic signature was identified as serum amyloid protein A (SAA) by PMF. The higher plasma level of SAA in OS patients was further validated by Western blotting when compared to that of osteochrondroma patients and normal subjects as reference. The classifier based on this plasma proteomic signature may be useful to differentiate malignant bone cancer from benign bone tumors and for early detection of OS in high-risk individuals.

Adolescent↗

Proteomic signatures: amino acid and oligopeptide compositions differentiate among phyla.

Availability of complete genome sequences allows in-depth comparison of single-residue and oligopeptide compositions of the corresponding proteomes. We have used principal component analysis (PCA) to study the landscape of compositional motifs across more than 70 genera from all three superkingdoms. Unexpectedly, the first two principal components clearly differentiate archaea, eubacteria, and eukaryota from each other. In particular, we contrast compositional patterns typical of the three superkingdoms and characterize differences between species and phyla, as well as among patterns shared by all compositional proteomic signatures. These species-specific patterns may even extend to subsets of the entire proteome, such as proteins pertaining to individual yeast chromosomes. We identify factors that affect compositional signatures, such as living habitat, and detect strong eukaryotic preference for homopeptides and palindromic tripeptides. We further detect oligopeptides that are either universally over- or underabundant across the whole proteomic landscape, as well as oligopeptides whose over- or underabundance is phylum- or species-specific. Finally, we report that species composition signatures preserve evolutionary memory, providing a new method to compare phylogenetic relationships among species that avoids problems of sequence alignment and ortholog detection.

Amino Acid Motifs↗

Quantitation of human glutathione S-transferases in complex matrices by liquid chromatography/tandem mass spectrometry with signature peptides.

Direct quantitation of glutathione S-transferase (GST) isoforms [alpha (GST-A) and micro (GST-M)] in human liver cytosol was achieved by liquid chromatography/tandem mass spectrometry (LC/ESI-MS/MS) analysis of signature peptides of GST-A and GST-M and their corresponding stable isotopic peptide internal standards via multiple reaction monitoring (MRM). The selection of signature peptides was performed via trypsin digestion of commercially available cDNA-expressed GST-A1 and GST-M1, followed by LC/ESI-MS/MS with an ion trap mass spectrometer and sequencing with the TurboSEQUEST application. Quantitative analysis of the selected signature peptides in the multi-reaction monitoring (MRM) mode was performed using a triple-quadruple mass spectrometer. A series of human cytosol samples was quantitatively analyzed for levels of GST-A and GST-M. The total level of GST-A and GST-M obtained from this LC/ESI-MS/MS method was well correlated with the total level of GST determined by the 1-chloro-2,4-dinitrobenzene (CDNB) method.

Amino Acid Sequence↗

Molecular signatures in the transport properties of molecular wire junctions: what makes a junction "molecular"?

The simplest component of molecular electronics consists of a single-molecule transport junction: a molecule sandwiched between source and drain electrodes, with or without a third gate electrode. In this Concept article, we focus on how molecules control transport in metal-electrode molecular junctions, and where the molecular signatures are to be found. In the situation where the molecule is relatively short and the gap between injection energy and molecular eigenstates is large, transport occurs largely by elastic tunneling, stochastic switching is common, and the vibronic signature can be found using inelastic electron tunneling spectroscopy (IETS). As the energy gaps for injection become smaller, one begins to see stronger molecular signatures - these include Franck-Condon-like structures in the current/voltage characteristic and strong vibronic interactions, which can lead to hopping behavior at the polaron limit. Conformational changes induced by the strong electric field lead to another strong manifestation of the molecular nature of the junction. We overview some of this mechanistic landscape, focusing on significant effects of switching (both stochastic and controlled by the electric field) and of molecular vibronic coupling.

Crystallization↗

Characterisation of group A streptococcal isolates from tropical Australia with high prevalence of rheumatic fever: probing for signature sequences to identify members of the family of serotype 5.

The prevalence of rheumatic heart disease (RHD) in Northern Territory Aboriginal communities is high, but there is a low isolation rate of historically rheumatic fever associated M types (such as M5) of group A streptococci (GAS). Many isolates are M non-typable (MNT). Serology suggests that the population is exposed to M5-like isolates; some RHD patients having high IgM or IgG titres to two M5 B-repeat region peptide epitopes, B1 (KQQESK) and B4 (EQKSKQ). To identify relatives of M5 in our collection of GAS, oligonucleotide probes to the B1 and B4-repeat regions shared by M5 and a local M5-like isolate, were used to screen 101 isolates for the presence of signature sequences. In all, 28% of the tropical Australian isolates contained the signature sequences, identifying members of the M5 family. The 5' region of the genes for M proteins from three members of the M5 family fell into two sequence types. Hybridisation to probes based on these sequences suggested that among tropical Australian isolates there are at least three distinct sequence types that contained the M5 signature sequences. These results suggest that a considerable number of M5 family GAS are circulating in tropical Australia.

Amino Acid Sequence↗

Large-scale production of class I bound peptides: assigning a signature to HLA-B*1501.

A peptide-based vaccine must be bound and presented by major histocompatibility complex class I molecules to elicit a CD8(+) T-cell response. Because class I HLA molecules are highly polymorphic, it has yet to be established how well a vaccine peptide that stimulates one individual's CD8(+) cytotoxic T lymphocytes will be presented by a second individual's different class I molecules. Therefore, to facilitate precise comparisons of class I peptide binding overlaps, we uniquely combined hollow-fiber bioreactors and mass spectrometry to assign precise peptide binding signatures to individual class I HLA molecules. In applying this strategy to HLA-B*1501, we isolated milligram quantities of B*1501-bound peptides and mapped them using mass spectrometry. Repeated analyses consistently assign the same peptide binding signature to B*1501; the degree of peptide binding overlap between any two class I molecules can thus be determined through comparison of their peptide signatures.

Cytotoxicity, Immunologic↗

High-fat and low-fat fermented milk and cheese intake, proteomic signatures, and risk of all-cause and cause-specific mortality.

PURPOSE: This study aimed to examine the associations between the intake of high- and low-fat fermented dairy (cheese and fermented milk), their proteomic profiles, and mortality risk. METHODS: This cohort study included 25,187 participants (mean age 57.7 years, 60.9% females). Fermented dairy intake was assessed by a modified diet history method. In a random subset of this cohort (n&#x2009;=&#x2009;4359), we constructed proteomic signatures for fermented dairy intake using 136 candidate plasma proteins. RESULTS: During 23.5 years of follow-up, 9742 participants died. High-fat cheese (>&#x2009;20% fat) intake was inversely associated with risk of all-cause mortality (HR for an increment of 20&#xa0;g/day, 0.97; 95% CI, 0.96-0.99, P&#x2009;<&#x2009;0.001) and cardiovascular disease mortality (HR, 0.96; 95% CI, 0.93-0.99, P&#x2009;=&#x2009;0.006). Low-fat cheese intake showed an inverse association with all-cause mortality (HR, 0.98; 95% CI, 0.96-1.00, P&#x2009;=&#x2009;0.047). Low-fat fermented milk intake was inversely associated with all-cause mortality (HR for an increment of 250&#xa0;g/day, 0.91; 95% CI, 0.85-0.97, P&#x2009;=&#x2009;0.006), while high-fat fermented milk (>&#x2009;2.5% fat) showed null association. A total of 42, 26, 0, and 39 proteins were identified for the signature of high-fat cheese, low-fat cheese, high-fat fermented milk, and low-fat fermented milk, respectively. Inverse associations with all-cause mortality were observed for all three signatures with identified proteins. The identified proteins were involved in biological pathways related to immune response and inflammation. CONCLUSION: Our study indicated that consuming high-fat cheese, low-fat cheese, and low-fat fermented milk was linked to survival benefits. Plasma proteins improve our understanding of the health effects of fermented dairy.

Humans↗

The signature motif in human glucose-6-phosphate transporter is essential for microsomal transport of glucose-6-phosphate.

Glycogen storage disease type Ib (GSD-Ib) is caused by a deficiency in the glucose-6-phosphate transporter (G6PT). Sequence alignments identify a signature motif shared by G6PT and a family of transporters of phosphorylated metabolites. Two null signature motif mutations have been identified in the G6PT gene of GSD-Ib patients. In this study, we characterize the activity of seven additional mutants within the motif. Five mutants lack microsomal G6P uptake activity and one retains residual activity, suggesting that in G6PT the signature motif is a functional element required for microsomal glucose-6-phosphate transport.

Amino Acid Sequence↗

Metastasis predictive signature profiles pre-exist in normal tissues.

Previous studies from our laboratory have demonstrated that metastatic propensity is significantly influenced by the genetic background upon which tumors arise. We have also established that human gene expression profiles predictive of metastasis are not only present in mouse tumors with both high and low metastatic capacity, but also correlate with genetic background. These results suggest that human metastasis-predictive gene expression signatures may be significantly driven by genetic background, rather than acquired somatic mutations. To test this hypothesis, gene expression profiling was performed on inbred mouse strains with significantly different metastatic efficiencies. Analysis of previously described human metastasis signature gene expression patterns in normal tissues permitted accurate categorization of high or low metastatic mouse genotypes. Furthermore, prospective identification of animals at high risk of metastasis was achieved by using mass spectrometry to characterize salivary peptide polymorphisms in a genetically heterogeneous population. These results strongly support the role of constitutional genetic variation in modulation of metastatic efficiency and suggest that predictive signature profiles could be developed from normal tissues in humans. The ability to identify those individuals at high risk of disseminated disease at the time of clinical manifestation of a primary cancer could have a significant impact on cancer management.

Animals↗

Integrated bulk and single-cell RNA sequencing reveals a prognostic neuro-mimicry signature in papillary thyroid carcinoma.

BACKGROUND: Cancer cells can acquire neuron-like characteristics ("neural mimicry") to promote progression. However, the role of specific ion channel genes in Papillary Thyroid Carcinoma (PTC) and their clinical significance remains unclear. METHODS: We included transcriptomic data from 521 PTC patients in the TCGA cohort. A neuron-specific gene set was used to screen for potential targets. We constructed a prognostic model using LASSO logistic regression. To verify the cellular origin of the signature, we performed single-cell RNA sequencing (scRNA-seq) analysis on the GSE184362 dataset. RESULTS: We established an 8-gene signature involving KCNN4, KCNN1, KCNT2, SNAP25, KCNK16, GABRG1, GABRG2, and GABRB2. The model demonstrated good predictive performance for lymph node metastasis, with an AUC of 0.721 (95% CI 0.677-0.765). Single-cell analysis of seven integrated tumor samples (N&#x2009;=&#x2009;65,744 cells) confirmed that GABRB2 was specifically enriched in malignant thyrocytes (EPCAM+/KRT18+) at 200-fold higher detection rates than immune cells (20.0% vs. 0.1%, P&#x2009;&#x2248;&#x2009;0), supporting tumor-intrinsic neural mimicry. High-risk patients showed immunosuppressive features with altered immune cell infiltration patterns. CONCLUSION: This study identifies a malignant cell-intrinsic signature for predicting PTC prognosis. Validated by single-cell data, our findings suggest that targeting ion channels may represent a potential therapeutic strategy for modulating neuro-immune interactions in thyroid cancer, pending experimental validation.

GABRB2↗

A unique signature identifies a family of zinc-dependent metallopeptidases.

The primary sequence motif HExxH has been found in many zinc-dependent endopeptidases. We show that a larger signature comprising this sequence is common to most of the known zinc-dependent endopeptidases, and that the presence of the signature can be indicative of membership in the family. A search of the protein sequence databases for entries containing the signature retrieved several unexpected potential zinc endopeptidases.

Amino Acid Sequence↗

Geographic classification of dengue-2 virus strains by antigen signature analysis.

Dengue-2 virus strains from different locations were compared by T1-RNAse-resistant oligonucleotide fingerprinting and antigen signature analysis. The latter technique involved construction of radioimmunoassays using monoclonal antibodies that recognize nine distinct dengue-2 type-specific and flavivirus cross-reactive epitopes over a range of antigen concentrations. A statistical method was used to align unknown dengue antigen concentrations in different strain preparations, allowing comparison of binding profiles. Twenty-six dengue-2 virus strains were separated into five distinct groups (topotypes) on the basis of unique RNA fingerprints. Two of these were represented by New Guinea C, the prototype virus isolated in 1944, and a Philippine strain; others were segregated on the basis of greater than or equal to 80% shared oligonucleotides into similarity groups representing Burma/Thailand (8 strains), Puerto Rico (12 strains), and Jamaica (4 strains). Signature analysis of the prototype and four geographic topotype strains revealed striking antigenic differences. In contrast, a high degree of antigenic similarity was found among strains from the same geographic region. Variation between antigenically distinct strains occurred at both type-specific and group-reactive epitopes, but the widest differences appeared at group-reactive determinants. Signature analysis provides a more rapid and simpler means than RNA fingerprinting of monitoring changes or new introductions of dengue virus populations in a geographic region.

Antibodies, Monoclonal↗

Characterization of angiotensin AT1A receptor isoform by its ligand binding signature.

The objective of this study was to determine whether the binding signature of the cloned rat AT1A receptor transfected into Chinese hamster ovary cells could be distinguished from that of the endogenous AT1B receptor expressed in rat adrenal cortex. An extensive series of peptide and nonpeptide Ang II analogs was used for the characterization. The binding of [125I]Ang II to the recombinant AT1A receptors was quite sensitive to inhibition by GTP gamma S. Scatchard analysis of the competition of Ang II revealed two populations of binding sites (site 1: KD = 3.05 +/- 0.27 nM and a maximum binding (Bmax) of 134 +/- 26 fmol/mg protein; site 2: KD = 253 +/- 77 nM and Bmax = 1.05 +/- 0.19 pmol/mg protein). The ligand binding signature of the AT1A receptor is defined by the affinity (Ki = nM) and order of potency of the following ligands: saralasin (2.07) > Ang II (3.35) > losartan (14) > Ang III (20) > GR 117289C (28) > EXP6803 (160) > Ang I (281) > PD123177 (> 10,000). This binding signature of the cloned AT1A receptors appears to be similar to that displayed by rat adrenal cortical cells where AT1B is predominantly expressed. These findings suggest that AT1A and AT1B receptors may not be easily distinguishable by the currently available ligand agonists or antagonists. Consequently, AT1A or AT1B may be considered as isoforms rather than subtypes of the AT1 receptors.

Adrenal Cortex↗

Prediction of venous metastases, recurrence, and prognosis in hepatocellular carcinoma based on a unique immune response signature of the liver microenvironment.

Hepatocellular carcinoma (HCC) is an aggressive malignancy mainly due to metastases or postsurgical recurrence. We postulate that metastases are influenced by the liver microenvironment. Here, we show that a unique inflammation/immune response-related signature is associated with noncancerous hepatic tissues from metastatic HCC patients. This signature is principally different from that of the tumor. A global Th1/Th2-like cytokine shift in the venous metastasis-associated liver microenvironment coincides with elevated expression of macrophage colony-stimulating factor (CSF1). Moreover, a refined 17 gene signature was validated as a superior predictor of HCC venous metastases in an independent cohort, when compared to other clinical prognostic parameters. We suggest that a predominant humoral cytokine profile occurs in the metastatic liver milieu and that a shift toward anti-inflammatory/immune-suppressive responses may promote HCC metastases.

Carcinoma, Hepatocellular↗

Shape Signatures: speeding up computer aided drug discovery.

Identifying potential lead molecules is becoming a more automated process. We review Shape Signatures, a tool that is effective and easy to use compared with most computer aided drug design techniques. Laboratory researchers can apply this in silico technique cost-effectively without the need for specialized computer backgrounds. Identifying a potential lead molecule requires database screening, and this becomes rate-limiting once the database becomes too large. The use of Shape Signatures eliminates this concern and offers molecule screening rates that are in advance of any currently available method. Shape Signatures provides a conduit for researchers to conduct rapid identification of potential active molecules, and studies with this tool can be initiated with only one bioactive lead or receptor site.

Computer-Aided Design↗

Electronic signatures for long-lasting storage purposes in electronic archives.

Communication and co-operation in healthcare and welfare require a certain set of trusted third party (TTP) services describing both status and relation of communicating principals as well as their corresponding keys and attributes. Additional TTP services are needed to provide trustworthy information about dynamic issues of communication and co-operation such as time and location of processes, workflow relations, and system behaviour. Legal and ethical requirements demand securely stored patient information and well-defined access rights. Among others, electronic signatures based on asymmetric cryptography are important means for securing the integrity of a message or file as well as for accountability purposes including non-repudiation of both origin and receipt. Electronic signatures along with certified time stamps or time signatures are especially important for electronic archives in general, electronic health records (EHR) in particular, and especially for typical purposes of long-lasting storage. Apart from technical storage problems (e.g. lifetime of the storage devices, interoperability of retrieval and presentation software), this paper identifies mechanisms of e.g. re-signing and re-stamping of data items, files, messages, sets of archived items or documents, archive structures, and even whole archives.

Computer Security↗