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Necessary, but not sufficient: Raman identification of disordered carbon as a signature of ancient life.

To identify microscopic particles as actual fossil material, it would be useful to have a means of unambiguously recognizing which carbonaceous deposits found in rocks are residues from once-living organisms (i.e., biogenic material). Those residues consist of many different, mostly aromatic (i.e., benzene ring-containing), C-O-H-dominated molecules, and typically are called kerogens. Raman microprobe spectroscopy can be applied to minute samples of ancient kerogens either isolated from their host rocks or in situ in thin section. The Raman spectra generated by monochromatic blue or green laser excitation (e.g., at 488, 514, 532 nm) typically show only generic spectral features indicative of discontinuous arrays of condensed benzene rings (i.e., structures referred to as "disordered carbonaceous material"). Thus, despite the complex chemistry of kerogens and the expected presence of H, O, and N, the Raman spectra typically do not show any evidence of functional groups, such as CH, CH(2), CH(3), CO, and CN. Moreover, the same kind of Raman spectral signature as is obtained from kerogens also is obtained from many other poorly ordered carbonaceous materials that arise through nonbiological processes, such as in situ heating of organic or inorganic compounds (whether or not they are of biological origin), metamorphic mobilization of preexisting carbon compounds, and high-temperature precipitation from hydrothermal solutions. Thus, neither a Raman spectrum, nor a Raman image derived from such spectra, definitively can identify a sample as "kerogen," but only as "disordered carbonaceous material." Clearly, the fact that small, opaque grains consist of disordered carbonaceous material is necessary, but not sufficient, to prove them to be residues of cellular material and, thus, biogenic.

Carbon↗

HTLV-1 p12I protein sequences from South America: truncated proteins and common genetic signatures.

p12 pX ORF-I (p12I) of simian T cell lymphotropic virus 1 from Central and West Africa is a 91-amino acid (aa) protein, contrasting with the known p12 sequences from human T cell lymphotropic virus type 1, which are 99 aa in length. An in silico sequence analysis shows a premature termination codon in HTLV-1 p12I sequences from South American and Japanese strains. A translation analysis indicated the presence of 86-aa and 81-aa p12I proteins, shorter than the 99-aa protein found in the majority of HTLV-1 strains around the world. This report shows one more common feature between these two viruses. Additionally, the HTLV-1 p12 signature reported as a genetic marker of Brazilian sequences (p12I P63 and P91) is also highly prevalent in p12 Argentinean sequences. Because p12I may confer a proliferative advantage on HTLV-1-infected cells the existence of naturally truncated proteins might supply insights into its pathogenic mechanisms.

Amino Acid Sequence↗

Monitoring early differentiation events in human embryonic stem cells by massively parallel signature sequencing and expressed sequence tag scan.

To identify genes that may be involved in the process of human embryonic stem cell (hESC) differentiation, we profiled gene expression by expressed sequenced tag (EST) enumeration and massively parallel signature sequencing (MPSS) using RNA samples from feeder-free cultures of undifferentiated (passages 40-50) and differentiated (day 14) H1, H7, and H9 lines. MPSS and EST scan analysis showed good concordance and identified a large number of genes that changed rapidly as cultures transition from a pluripotent to a differentiated state. These included known and unknown ES cell-specific genes as well as a large number of known genes that were altered as cells differentiate. A subset of genes that were either up- or down-regulated were selected and their differential expression confirmed by a variety of independent methods, including comparison of expression after further differentiation, publicly available databases, and direct assessments by reverse transcriptase (RT)-PCR and immunocytochemistry. The analysis identified markers unique to the hESC and embryoid bodies (hEBs) stage as well as signaling pathways that likely regulate differentiation. The data generated can be used to monitor the state of hESC isolated by different laboratories using independent methods and maintained under differing culture conditions.

Cell Culture Techniques↗

Massively parallel signature sequencing profiling of fetal human neural precursor cells.

We have examined gene expression in multipotent neural precursor cells (NPCs) derived from human fetal (f) brain tissue and compared its expression profiles with embryonic stem (ESC) cells, embryoid body cell (EBC), and astrocyte precursors using the technique of massively parallel signature sequencing (MPSS). Gene expression profiles show that fNPCs express core neural stem cells markers and share expression profiles with astrocyte precursor cells (APCs) rather than ESC or EBC. Gene expression analysis shows that fNPCs differ from other adult stem and progenitor cells in their marker expression and activation of specific functional networks such as the transforming growth factorbeta (TGFbeta) and Notch signaling pathways. In addition, our results allow us to identify novel genes expressed in fNPCs and provide a detailed profile of fNPCs.

Adult↗

Human airspace macrophage signatures are conserved during sterile lung injury and repair.

RATIONALE: Airspace macrophages (AM) are implicated in both persistent inflammation and tissue repair following acute lung injury. Distinct subsets of AM are associated with lung pathology in humans but whether unique AM signatures are specific to disease states or represent a conserved response to lung inflammation is unknown. OBJECTIVES: We sought to test the hypothesis that conserved subsets of inflammatory and reparative AM could be identified by transcriptional programing in a human model of self-resolving acute lung injury. METHODS: Fifteen subjects underwent bronchoscopic lavage (BAL) before and at a pre-assigned time point after endobronchial exposure to bacterial endotoxin. BAL cells were subjected to single cell RNA sequencing and longitudinal assessment of AM programing during resolution of inflammation and lung repair was performed. MEASUREMENTS AND MAIN RESULTS: We identify transcriptionally distinct subsets of tissue resident and recruited AM present at all time points, in all subjects. Two recruited AM populations increase following inflammation, one which aligns with classical monocytes (MoAM) and one with interstitial macrophages (IAM). AM subsets display unique patterns of gene expression throughout the time course. Comparison of subset-specific markers to those identified in disease states reveals that IAM express many so-called "pathogenic" markers during normal lung repair. CONCLUSIONS: By applying a uniform inflammatory stimulus to healthy adults and examining BAL cells obtained at precise time points thereafter, we construct a time-resolved kinetic of AM transcriptional programing during typical lung repair. Our data demonstrate that IAM share transcriptional similarity to AM identified in disease states and suggest they may reflect a conserved cellular response to tissue injury.

Journal Article↗

Massively parallel signature sequencing (MPSS) as a tool for in-depth quantitative gene expression profiling in all organisms.

Massively parallel signature sequencing (MPSS) is one of the newest tools available for conducting in-depth expression profiling. MPSS is an open-ended platform that analyses the level of expression of virtually all genes in a sample by counting the number of individual mRNA molecules produced from each gene. There is no requirement that genes be identified and characterised prior to conducting an experiment. MPSS has a routine sensitivity at a level of a few molecules of mRNA per cell, and the datasets are in a digital format that simplifies the management and analysis of the data. Therefore, of the various microarray and non-microarray technologies currently available, MPSS provides many advantages for generating the type of complete datasets that will help to facilitate hypothesis-driven experiments in the era of digital biology.

Cloning, Molecular↗

Two-dimensional abstract representations (signatures) of proteins.

Algorithms have been developed to allow two-dimensional abstract representations of proteins based on: (i) a non-redundant subset of codons, (ii) hydropathy values of amino acids, (iii) the polarities of the amino acid residues and (iv) predicted secondary structures. In addition the suggestion of Gates on nucleic acid representation was implemented. The two-dimensional projections (signatures) that are obtained have the merit that several plots can be represented simultaneously for ready visualization. The approach appears useful in showing relationships among groups of proteins.

Algorithms↗

FSSA: a novel method for identifying functional signatures from structural alignments.

MOTIVATION: It is commonly believed that sequence determines structure, which in turn determines function. However, the presence of many proteins with the same structural fold but different functions suggests that global structure and function do not always correlate well. RESULTS: We propose a method for accurate functional annotation, based on identification of functional signatures from structural alignments (FSSA) using the Structural Classification of Proteins (SCOP) database. The FSSA method is superior at function discrimination and classification compared with several methods that directly inherit functional annotation information from homology inference, such as Smith-Waterman, PSI-BLAST, hidden Markov models and structure comparison methods, for a large number of structural fold families. Our results indicate that the contributions of amino acid residue types and positions to structure and function are largely separable for proteins in multi-functional fold families.

Algorithms↗

Bayesian classifiers for detecting HGT using fixed and variable order markov models of genomic signatures.

MOTIVATION: Analyses of genomic signatures are gaining attention as they allow studies of species-specific relationships without involving alignments of homologous sequences. A naïve Bayesian classifier was built to discriminate between different bacterial compositions of short oligomers, also known as DNA words. The classifier has proven successful in identifying foreign genes in Neisseria meningitis. In this study we extend the classifier approach using either a fixed higher order Markov model (Mk) or a variable length Markov model (VLMk). RESULTS: We propose a simple algorithm to lock a variable length Markov model to a certain number of parameters and show that the use of Markov models greatly increases the flexibility and accuracy in prediction to that of a naïve model. We also test the integrity of classifiers in terms of false-negatives and give estimates of the minimal sizes of training data. We end the report by proposing a method to reject a false hypothesis of horizontal gene transfer. AVAILABILITY: Software and Supplementary information available at www.cs.chalmers.se/~dalevi/genetic_sign_classifiers/.

Artificial Intelligence↗

Chromosome-level genome assembly of the bitterling Rhodeus sinensis (Acheilognathidae) reveals genomic signatures associated with its mussel-dependent reproductive system.

Bitterlings (Acheilognathidae) exhibit a unique reproductive strategy characterized by symbiotic embryonic development inside the gill cavities of freshwater unionid mussels. Despite extensive ecological and physiological research on this system, genomic resources for bitterlings have remained limited, hindering comparative and evolutionary studies. Here, we present a high-quality, chromosome-level genome assembly for Rhodeus sinensis, a widely distributed bitterling species in the Korean Peninsula. By combining PacBio Continuous Long Read (CLR) sequencing, Illumina short reads, and Hi-C scaffolding, we generated a 0.77 Gb genome assembly with a scaffold N50 of 30.06 Mb. The final assembly comprises 24 chromosome-scale scaffolds, accounting for 98.3% of the assembled genome, with a BUSCO completeness score of 96.3% against the Actinopterygii_odb10. Comparative genomic analyses identified prominent expansions in gene families associated with alcohol metabolism, lipid catabolism, and oxidative stress responses. These genomic signatures of metabolic rewiring suggest a potential fuel flexibility, which may serve as a critical adaptive mechanism to mitigate the severe hypoxic stress encountered within the host mussel's gill environment. Ultimately, our chromosome-level genome assembly and findings provide a robust genomic foundation, contributing to a deeper understanding of the extreme physiological adaptations and unique life-history evolution within the Acheilognathidae.

Rhodeus sinensis↗

Signatures of population expansion in microsatellite repeat data.

To examine the signature of population expansion on genetic variability at microsatellite loci, we consider a population that evolves according to the time-continuous Moran model, with growing population size and mutations that follow a general asymmetric stepwise mutation model. We present calculations of expected allele-size variance and homozygosity at a locus in such a model for several variants of growth, including stepwise, exponential, and logistic growth. These calculations in particular prove that population bottleneck followed by growth in size causes an imbalance between allele size variance and heterozygosity, characterized by the variance being transiently higher than expected under equilibrium conditions. This effect is, in a sense, analogous to that demonstrated before for the infinite allele model, where the number of alleles transiently increases after a stepwise growth of population. We analyze a set of data on tetranucleotide repeats that reveals the imbalance expected under the assumption of bottleneck followed by population growth in two out of three major racial groups. The imbalance is strongest in Asians, intermediate in Europeans, and absent in Africans. This finding is consistent with previous findings by others concerning the population expansion of modern humans, with the bottleneck event being most ancient in Africans, most recent in Asians, and intermediate in Europeans. Nevertheless, the imbalance index alone cannot reliably estimate the time of initiation of population expansion.

Genetics, Population↗

Nucleotide variability at G6pd and the signature of malarial selection in humans.

Glucose-6-phosphate dehydrogenase (G6PD) deficiency is the most common enzymopathy in humans. Deficiency alleles for this X-linked disorder are geographically correlated with historical patterns of malaria, and the most common deficiency allele in Africa (G6PD A-) has been shown to confer some resistance to malaria in both hemizygous males and heterozygous females. We studied DNA sequence variation in 5.1 kb of G6pd from 47 individuals representing a worldwide sample to examine the impact of selection on patterns of human nucleotide diversity and to infer the evolutionary history of the G6PD A- allele. We also sequenced 3.7 kb of a neighboring locus, L1cam, from the same set of individuals to study the effect of selection on patterns of linkage disequilibrium. Despite strong clinical evidence for malarial selection maintaining G6PD deficiency alleles in human populations, the overall level of nucleotide heterozygosity at G6pd is typical of other genes on the X chromosome. However, the signature of selection is evident in the absence of genetic variation among A- alleles from different parts of Africa and in the unusually high levels of linkage disequilibrium over a considerable distance of the X chromosome. In spite of a long-term association between Plasmodium falciparum and the ancestors of modern humans, patterns of nucleotide variability and linkage disequilibrium suggest that the A- allele arose in Africa only within the last 10,000 years and spread due to selection.

Alleles↗

A chronic inflammatory response dominates the skeletal muscle molecular signature in dystrophin-deficient mdx mice.

Mutations in dystrophin cause Duchenne muscular dystrophy (DMD), but absent dystrophin does not invariably cause necrosis in all muscles, life stages and species. Using DNA microarray, we established a molecular signature of dystrophinopathy in the mdx mouse, with evidence that secondary mechanisms are key contributors to pathogenesis. We used variability controls, adequate replicates and stringent analytic tools, including significance analysis of microarrays to estimate and manage false positive rates. In leg muscle, we identified 242 differentially expressed genes, >75% of which have not been previously reported as altered in human or animal dystrophies. Data provide evidence for coordinated activity of numerous components of a chronic inflammatory response, including cytokine and chemokine signaling, leukocyte adhesion and diapedesis, invasive cell type-specific markers, and complement system activation. Selective chemokine upregulation was confirmed by RT-PCR and immunoblot, and may be a key determinant of the nature of the inflammatory response in dystrophic muscle. Up-regulation of secreted phosphoprotein 1 (minopontin, osteopontin) mRNA and protein in dystrophic muscle identified a novel linkage between inflammatory cells and repair processes. Extracellular matrix genes were up-regulated in mdx to levels similar to those in DMD. Since, unlike DMD, mdx exhibits little fibrosis, data suggest that collagen regulation at post-transcriptional stages mediates extensive fibrosis in DMD. Taken together, these data identify a relatively neglected aspect of DMD, suggest new treatment avenues, and highlight the value of genome-wide profiling in study of complex disease processes.

Animals↗

Dissection of temporal gene expression signatures of affected and spared muscle groups in dystrophin-deficient (mdx) mice.

Although dystrophin mutations are the proximate cause of Duchenne muscular dystrophy (DMD), interactions among heterogeneous downstream mechanisms may be key phenotypic determinants. Temporal gene expression profiling was used to identify and correlate diverse transcriptional patterns to one another and to the disease course, for both affected and spared muscle groups, in postnatal day 7-112 dystrophin-deficient (mdx) mice. While 719 transcripts were differentially expressed at one or more ages in leg muscle, only 56 genes were altered in the spared extraocular muscles (EOM). Contrasting molecular signatures of affected versus spared muscles provide compelling evidence that the absence of dystrophin alone is necessary but not sufficient to cause the patterned fibrosis, inflammation and failure of muscle regeneration characteristic of dystrophinopathy. Dystrophic and adaptive changes in the microarray profiles were further quantified using an aggregate disease load index (DLI) to measure stage-dependent transcriptional impact in both muscles. DLI analysis highlighted the divergent responses of EOM and leg muscle groups. Cellular process-specific DLIs in leg muscle identified positively correlated temporal expression profiles for some gene classes, and the independence of others, that are linked to major disease components. Data also showed a previously unrecognized transient and selective developmental delay in pre-necrotic mdx skeletal muscle that was confirmed by qPCR. Taken together, validation and targeting of signaling pathways responsible for the coordination of the fibrotic, proteolytic and inflammatory mechanisms shown here for mdx muscle may yield new therapeutic means of mitigating the devastating consequences of DMD.

Animals↗

Unique gene expression signatures of independently-derived human embryonic stem cell lines.

Human embryonic stem cells (hESCs) have the potential to differentiate to diverse cell types. This ability endows hESCs with promise for the development of novel therapeutics, as well as promise for the development of a rigorous genetic system to probe human gene function. However, in spite of the impending utility of hESCs for clinical and basic applications, little is known about their fundamental properties. Recent reports have documented transcriptional profiles of mouse embryonic stem cells (mESCs), adult stem cells and a single hESC line, H9. To date, however, the transcriptional profiles of independently-derived hESC lines have not been compared. In order to examine the similarities and differences in multiple hESC lines, we compared gene expression profiles of the HSF-1, HSF-6 and H9 lines. We found that the majority of genes examined were expressed in all three cell lines. However, we also observed that each line possessed a unique expression signature; the expression of many genes was limited to just one or two hESC lines. We suggest that the observed differences in gene expression between independently-derived hESC lines may reflect inherent differences in the initial culture of each line and/or the underlying genetics of the embryos from which the lines were derived.

Cell Line↗

Differential DNA hypermethylation and hypomethylation signatures in colorectal cancer.

Cancer cells are characterized by a generalized disruption of the DNA methylation pattern involving an overall decrease in the level of 5-methylcytosine together with regional hypermethylation of particular CpG islands. The extent of both DNA hypomethylation and hypermethylation in the tumor cell is likely to reflect distinctive biological and clinical features, although no studies have addressed its concurrent analysis until now. DNA methylation profiles in sporadic colorectal carcinomas, synchronous adenoma-carcinoma pairs and their matching normal mucosa were analyzed by using the amplification of inter-methylated sites (AIMS) method. A total of 208 AIMS generated sequences were tagged and evaluated for differential methylation. Global indices of hypermethylation and hypomethylation were calculated. All tumors displayed altered patterns of DNA methylation in reference to normal tissue. On average, 24% of the tagged sequences were differentially methylated in the tumor in regard to the normal pair with an overall prevalence of hypomethylations to hypermethylations. Carcinomas exhibited higher levels of hypermethylation than did adenomas but similar levels of hypomethylation. Indices of hypomethylation and hypermethylation showed independent correlations with patient's sex, tumor staging and specific gene hypermethylation. Hierarchical cluster analysis revealed two main patterns of DNA methylation that were associated to particular mutational spectra in the K-ras and the p53 genes and alternative correlates of hypomethylation and hypermethylation with survival. We conclude that DNA hypermethylation and hypomethylation are independent processes and appear to play different roles in colorectal tumor progression. Subgroups of colorectal tumors show specific genetic and epigenetic signatures and display distinctive correlates with overall survival.

Adenoma↗

A functional polymorphism within the MRP1 gene locus identified through its genomic signature of positive selection.

Searching for genomic evidence of positive selection has been hailed as an attractive strategy for identifying functional polymorphisms. Here, we demonstrate the feasibility of identifying functional polymorphism at the MRP1 gene locus using this strategy. The 190 kDa MRP1 protein is an efflux pump that regulates the accumulation of xenobiotics and drugs in cells. Functional sequence variations within this gene might account, in part, for inter-individual and population differences in drug response. To identify single nucleotide polymorphisms (SNPs) within the MRP1 gene with potentially important functional significance, we scanned for genomic signatures of recent positive selection at this locus in approximately 480 individuals sampled from the Chinese, Malay, Indian, European-American and African-American populations. The genetic profile of SNPs at this locus revealed high haplotype diversity and weak linkage disequilibrium (LD). Despite this weak LD, major allele G of SNP 5'FR/G-260C contained within a high frequency haplotype exhibited extended haplotype homozygosity across 135 kb in European-Americans. Using two independent genomic tests, long-range haplotype (LRH) test and the F(ST) statistic, we found statistical evidence of positive selection for this allele in the European-American population. When this SNP was recapitulated in an in vitro MRP1 promoter-reporter assay, significantly lower activity was observed from the G-containing promoter when compared with the C-containing promoter in all four cell lines that we tested (P<0.01). These observations confirm the power of this strategy in identifying functionally different alleles of genes and suggest that the different alleles at this SNP locus in the MRP1 gene may account, in part, for inter-individual variations and population differences in drug response.

Genomics↗

Difference in delta(15)N signatures between nodulated roots and shoots of soybean is indicative of the contribution of symbiotic N(2) fixation to plant N.

Symbiotic N(2) fixation has a variable effect on the (15)N abundance of different parts of legumes. Increases in fixation result in (15)N enrichment of nodules, while decreases, in combination with an increased uptake of mineral N, result in (15)N depletion of the root system. The difference between soybean shoot and below-ground delta(15)N (Deltadelta(15)N=delta(15)N(shoot)-delta(15)N(belowground)) was assessed in hydroponic culture over a range of rates of supply of mineral N. The fractional contribution of N(2) fixation to N uptake (%Ndfa) was determined using the natural abundance (NA) technique with ryegrass as a reference plant. Deltadelta(15)N and %Ndfa were highly correlated, and the relationship was tested using the same soybean cultivar grown in pots in N-rich soil. Estimates of %Ndfa derived from the NA method and from the Deltadelta(15)N approach yielded near-identical values. A literature survey showed similar relationships between %Ndfa and Deltadelta(15)N with different growth stages of soybeans grown under glasshouse and field conditions, different cowpea (Vigna unguiculata) cultivars in the field, and tagasaste (Chamaecytisus proliferus) in hydroponic culture. Possible confounding and species-specific (either plant or Rhizobium spp.) influences are discussed. The difference in delta(15)N signatures between nodulated roots and shoots is confirmed as a robust means of quantifying %Ndfa: it is independent of reference plants and offers the possibility of estimating %Ndfa in soils where the isotope composition of mineral N closely matches that of atmospheric N(2).

Algorithms↗