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Expanding the human proteome with microproteins and peptideins.

A major scientific drive is to characterize the protein-coding genome, which is a primary basis for studying human health. But the fundamental question remains of what has been missed in previous analyses. Over the past decade, the translation of non-canonical open reading frames (ncORFs) has been observed across human cell types and disease states1-3, with major implications for biomedical science. However, a key gap in knowledge has been which ncORFs produce small microproteins or alternative protein molecules that contribute to the human proteome. Here we report the collaborative efforts of the TransCODE Consortium4 to produce a consensus landscape of protein-level evidence for ncORFs. We show that about 25% of a set of 7,264 ncORFs gives rise to detectable peptides in a large-scale analysis of 95,520 proteomics experiments. We develop an annotation framework for ncORF-encoded microproteins as human proteins and codify the new conceptual model of 'peptideins' as microproteins that have indeterminate potential as functional proteins. To probe the biological implications of peptideins, we create an evolutionary analysis approach, termed ORF relative branch length (ORBL), and determine that evolutionary constraint is common and associates with observation of ncORF-derived peptides. We then characterize a pan-essential cellular phenotype for one peptidein from the OLMALINC long non-coding RNA. Overall, we generate public research tools supported by GENCODE and PeptideAtlas and advance biomedical discovery for understudied components of the human proteome.

Humans↗

TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders.

UNLABELLED: We describe two new Generalized Hidden Markov Model implementations for ab initio eukaryotic gene prediction. The C/C++ source code for both is available as open source and is highly reusable due to their modular and extensible architectures. Unlike most of the currently available gene-finders, the programs are re-trainable by the end user. They are also re-configurable and include several types of probabilistic submodels which can be independently combined, such as Maximal Dependence Decomposition trees and interpolated Markov models. Both programs have been used at TIGR for the annotation of the Aspergillus fumigatus and Toxoplasma gondii genomes. AVAILABILITY: Source code and documentation are available under the open source Artistic License from http://www.tigr.org/software/pirate

Algorithms↗

Gene expression in the developing mouse retina by EST sequencing and microarray analysis.

Retinal development occurs in mice between embryonic day E11.5 and post-natal day P8 as uncommitted neuroblasts assume retinal cell fates. The genetic pathways regulating retinal development are being identified but little is understood about the global networks that link these pathways together or the complexity of the expressed gene set required to form the retina. At E14.5, the retina contains mostly uncommitted neuroblasts and newly differentiated neurons. Here we report a sequence analysis of an E14.5 retinal cDNA library. To date, we have archived 15 268 ESTs and have annotated 9035, which represent 5288 genes. The fraction of singly occurring ESTs as a function of total EST accrual suggests that the total number of expressed genes in the library could approach 27 000. The 9035 ESTs were categorized by their known or putative functions. Representation of the genes involved in eye development was significantly higher in the retinal clone set compared with the NIA mouse 15K cDNA clone set. Screening with a microarray containing 864 cDNA clones using wild-type and brn-3b (-/-) retinal cDNA probes revealed a potential regulatory linkage between the transcription factor Brn-3b and expression of GAP-43, a protein associated with axon growth. The retinal EST database will be a valuable platform for gene expression profiling and a new source for gene discovery.

Animals↗

Genetic and physiological data implicating the new human gene G72 and the gene for D-amino acid oxidase in schizophrenia.

A map of 191 single-nucleotide polymorphism (SNPs) was built across a 5-Mb segment from chromosome 13q34 that has been genetically linked to schizophrenia. DNA from 213 schizophrenic patients and 241 normal individuals from Canada were genotyped with this marker set. Two 1,400- and 65-kb regions contained markers associated with the disease. Two markers from the 65-kb region were also found to be associated to schizophrenia in a Russian sample. Two overlapping genes G72 and G30 transcribed in brain were experimentally annotated in this 65-kb region. Transfection experiments point to the existence of a 153-aa protein coded by the G72 gene. This protein is rapidly evolving in primates, is localized to endoplasmic reticulum/Golgi in transfected cells, is able to form multimers and specifically binds to carbohydrates. Yeast two-hybrid experiments with the G72 protein identified the enzyme d-amino acid oxidase (DAAO) as an interacting partner. DAAO is expressed in human brain where it oxidizes d-serine, a potent activator of N-methyl-D-aspartate type glutamate receptor. The interaction between G72 and DAAO was confirmed in vitro and resulted in activation of DAAO. Four SNP markers from DAAO were found to be associated with schizophrenia in the Canadian samples. Logistic regression revealed genetic interaction between associated SNPs in vicinity of two genes. The association of both DAAO and a new gene G72 from 13q34 with schizophrenia together with activation of DAAO activity by a G72 protein product points to the involvement of this N-methyl-d-aspartate receptor regulation pathway in schizophrenia.

Amino Acid Sequence↗

PfSPATR, a Plasmodium falciparum protein containing an altered thrombospondin type I repeat domain is expressed at several stages of the parasite life cycle and is the target of inhibitory antibodies.

The annotated sequence of chromosome 2 of Plasmodium falciparum was examined for genes encoding proteins that may be of interest for vaccine development. We describe here the characterization of a protein with an altered thrombospondin Type I repeat domain (PfSPATR) that is expressed in the sporozoite, asexual, and sexual erythrocytic stages of the parasite life cycle. Immunoelectron microscopy indicated that this protein was expressed on the surface of the sporozoites and around the rhoptries in the asexual erythrocytic stage. An Escherichia coli-produced recombinant form of the protein bound to HepG2 cells in a dose-dependent manner and antibodies raised against this protein blocked the invasion of sporozoites into a transformed hepatoma cell line. Sera from Ghanaian adults and from a volunteer who had been immunized with radiation-attenuated P. falciparum sporozoites specifically recognized the expression of this protein on transfected COS-7 cells. These data support the evaluation of this protein as a vaccine candidate.

Amino Acid Sequence↗

Comparing the protein expression profiles of human mesenchymal stem cells and human osteoblasts using gene ontologies.

One of the hallmark events regulating the process of osteogenesis is the transition of undifferentiated human mesenchymal stem cells (hMSCs) found in the bone marrow into mineralized-matrix producing osteoblasts (hOSTs) through mechanisms that are not entirely understood. With recent developments in mass spectrometry and its potential application to the systematic definition of the stem cell proteome, proteins that govern cell fate decisions can be identified and tracked during this differentiation process. We hypothesize that protein profiling of hMSCs and hOSTs will identify potential osteogenic marker proteins associated with hMSC commitment and hOST differentiation. To identify markers for each cell population, we analyzed the expression of hMSC proteins and compared them to that of hOST by two-dimensional gel electrophoresis and two-dimensional liquid chromatography tandem mass spectrometry (2D LC-MS/MS). The 2D LC-MS/MS data sets were analyzed using the Database for Annotation, Visualization and Integrated Discovery (DAVID). Only 34% of the spots in 2D gels were found in both cell populations; of those that differed between populations, 65% were unique to hOST cells. Of the 755 different proteins identified by 2D LCMS/ MS in both cell populations, two sets of 247 and 158 proteins were found only in hMSCs and hOST cells, respectively. Differential expression of some of the identified proteins was further confirmed by Western blot analyses. Substantial differences in clusters of proteins responsible for calcium- based signaling and cell adhesion were found between the two cell types. Osteogenic differentiation is accompanied by a substantial change in the overall protein expression profile of hMSCs. This study, using gene ontology analysis, reveals that these changes occur in clusters of functionally related proteins. These proteins may serve as markers for identifying stem cell differentiation into osteogenic fates because they promote differentiation by mechanisms that remain to be defined.

Blotting, Western↗

Identification of novel clock-controlled genes by cDNA macroarray analysis in Chlamydomonas reinhardtii.

Circadian rhythms are self-sustaining oscillations whose period length under constant conditions is about 24 h. Circadian rhythms are widespread and involve functions as diverse as human sleep-wake cycles and cyanobacterial nitrogen fixation. In spite of a long research history, knowledge about clock-controlled genes is limited in Chlamydomonas reinhardtii. Using a cDNA macroarray containing 10 368 nuclear-encoded genes, we examined global circadian regulation of transcription in Chlamydomonas. We identified 269 candidates for circadianly expressed gene. Northern blot analysis confirmed reproducible and sustainable rhythmicity for 12 genes. Most genes exhibited peak expression at the transition point between day and night. One hundred and eighteen genes were assigned predicted annotations. The functions of the cycling genes were diverse and included photosynthesis, respiration, cellular structure, and various metabolic pathways. Surprisingly, 18 genes encoding chloroplast ribosomal proteins showed a coordinated circadian pattern of expression and peaked just at the beginning of subjective day. The co-regulation of genes bearing a similar function was also observed in genes involved in cellular structure. They peaked at the end of the subjective night, which is when the regeneration of cell walls and flagella in daughter cells occurs. Expression of the chlamyopsin gene, which encodes an opsin-type photoreceptor, also exhibited circadian rhythm.

Animals↗

Anti-oxidative stress system in cyanobacteria. Significance of type II peroxiredoxin and the role of 1-Cys peroxiredoxin in Synechocystis sp. strain PCC 6803.

Two antioxidant proteins, SLL1621 and SLR1198, were captured in the cyanobacteria Synechocystis sp. PCC 6803 using thioredoxin affinity chromatography, which was first applied to the survey of thioredoxin target proteins in chloroplasts (Motohashi, K., Kondoh, A., Stumpp, M. T., and Hisabori, T. (2001) Proc. Natl. Acad. Sci. U. S. A. 98, 11224-11229). They are annotated as AhpC/TSA family protein (SLL1621) and antioxidant protein (SLR1198) in CyanoBase (Nakamura, Y., Kaneko, T., Hirosawa, M., Miyajima, N., and Tabata, S. (1998) Nucleic Acids Res. 26, 63-67). Based on sequence homology analysis SLL1621 and SLR1198 are categorized into type II peroxiredoxin and 1-Cys type peroxiredoxin, respectively. In vitro interaction between SLL1621 and thioredoxin was confirmed using the recombinant proteins expressed in Escherichia coli. Furthermore, we found that SLL1621 shows remarkable glutathione-dependent peroxidase activity. Disruption of the sll1621 gene had a dramatic effect on the viability of the cyanobacterial cells even under weak light conditions (50 micromol.m(-2).s(-1)), suggesting this peroxiredoxin is essential for this cyanobacterium. In contrast, although the peroxidase activity of SLR1198 was scarcely detected, disruption of the gene, slr1198, certainly affected the growth rate of the cells. The results indicate the physiological significance of two different peroxiredoxins as an anti-oxidative stress system in cyanobacteria.

Bacterial Proteins↗

I-conotoxin superfamily revisited.

The I-conotoxin superfamily (I-Ctx) is known to have four disulfide bonds with the cysteine arrangement C-C-CC-CC-C-C, and the members inhibit or modify ion channels of nerve cells. Recently, Olivera and co-workers (FEBS J. 2005; 272: 4178-4188) have suggested that the previously described I-Ctx should now be divided into two different gene superfamilies, namely, I1 and I2, in view of their having two different types of signal peptides and exhibiting distinct functions. We have revisited the 28 entries presently grouped as I-Ctx in UniProt Swiss-Prot knowledgebase, and on the basis of in silico analysis have divided them into I1 and I2 superfamilies. The sequence analysis has provided a framework for in silico annotation enabling us to carry out computer-based functional characterization of the UniProtKB/TrEMBL entry Q59AA4 from Conus miles and to predict it as a member of the I2 superfamily. Furthermore, we have predicted the mature toxin of this entry and have proposed that it may be an inhibitor of voltage-gated potassium channels.

Amino Acid Sequence↗

Gene expression profiles during beta cell maturation and after IL-1beta exposure reveal important roles of Pdx-1 and Nkx6.1 for IL-1beta sensitivity.

AIM/HYPOTHESIS: Maturation of the beta cells in the islets of Langerhans is dependent upon sequential activation of different transcription factors such as Pdx-1 and Nkx6.1. This maturation is associated with an acquired sensitivity to cytokines and may eventually lead to type 1 diabetes. The aims of this study were to characterise changes in mRNA expression during beta cell maturation as well as after interleukin-1beta (IL-1beta) exposure. METHODS: Transcriptome analyses were performed on two phenotypes characterised as a glucagon-producing pre-beta-cell phenotype (NHI-glu), which matures to an IL-1beta-sensitive insulin-producing beta cell phenotype (NHI-ins). Beta cell lines over-expressing Pdx-1 or Nkx6.1, respectively, were used for functional characterisation of acquired IL-1beta sensitivity. RESULTS: During beta cell maturation 98 fully annotated mRNAs changed expression levels. Of these, 50 were also changed after 24 h of IL-1beta exposure. In addition, 522 and 197 fully annotated mRNAs, not affected by maturation, also changed expression levels following IL-1beta exposure of the beta cell and the pre-beta-cell phenotype, respectively. Beta cell maturation was associated with an increased expression of Nkx6.1, whereas both Pdx-1 and Nkx6.1 expression were decreased following IL-1beta exposure. Over-expression of Nkx6.1 or Pdx-1 in cell lines resulted in a significantly increased sensitivity to IL-1beta. CONCLUSIONS/INTERPRETATION: These results suggest that the final beta cell maturation accompanied by increased IL-1beta sensitivity is, in part, dependent upon the expression of genes regulated by Pdx-1 and Nkx6.1. Future classification of the genes regulated by these transcription factors and changed during beta cell maturation should elucidate their role in the acquired sensitivity to IL-1beta and may be helpful in identifying new targets for intervention/prevention strategies.

Animals↗

Identification and sequencing the juvenile spermatogonial depletion critical interval on mouse chromosome 1 reveals the presence of eight candidate genes.

In mice, the recessive, non-pleiotropic, juvenile spermatogonial depletion (jsd) mutation results in a single wave of spermatogenesis, followed by failure of type A spermatogonial stem cells to differentiate, rendering adult males sterile. As part of an effort to identify the gene underlying this mutation, we report here the construction of a high-resolution genetic map involving more than 1000 meioses and 24 polymorphic loci. Our data define a critical jsd interval of approximately 0.4 cM at 49 cM on mouse chromosome 1, between D1Mit215 and 257SP6. We have constructed a physical map spanning the region comprising 24 overlapping BACs. Eighteen of these BACs have been fully sequenced, or are in draft form, allowing us to annotate approximately 2.5 Mb of DNA surrounding the jsd locus. The critical 0.4 cM jsd interval corresponds to a physical distance of approximately 1.5 Mb. Eight genes have been identified in this interval, two of which appear to be possible candidates for the jsd mutation.

Animals↗

GOurmet: a tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributions.

BACKGROUND: The ever-expanding population of gene expression profiles (EPs) from specified cells and tissues under a variety of experimental conditions is an important but difficult resource for investigators to utilize effectively. Software tools have been recently developed to use the distribution of gene ontology (GO) terms associated with the genes in an EP to identify specific biological functions or processes that are over- or under-represented in that EP relative to other EPs. Additionally, it is possible to use the distribution of GO terms inherent to each EP to relate that EP as a whole to other EPs. Because GO term annotation is organized in a tree-like cascade of variable granularity, this approach allows the user to relate (e.g., by hierarchical clustering) EPs of varying length and from different platforms (e.g., GeneChip, SAGE, EST library). RESULTS: Here we present GOurmet, a software package that calculates the distribution of GO terms represented by the genes in an individual expression profile (EP), clusters multiple EPs based on these integrated GO term distributions, and provides users several tools to visualize and compare EPs. GOurmet is particularly useful in meta-analysis to examine EPs of specified cell types (e.g., tissue-specific stem cells) that are obtained through different experimental procedures. GOurmet also introduces a new tool, the Targetoid plot, which allows users to dynamically render the multi-dimensional relationships among individual elements in any clustering analysis. The Targetoid plotting tool allows users to select any element as the center of the plot, and the program will then represent all other elements in the cluster as a function of similarity to the selected central element. CONCLUSION: GOurmet is a user-friendly, GUI-based software package that greatly facilitates analysis of results generated by multiple EPs. The clustering analysis features a dynamic targetoid plot that is generalizable for use with any clustering application.

Artificial Intelligence↗

Morphological irregularities and features of resistance to apoptosis in the dcp-1/pita double mutated egg chambers during Drosophila oogenesis.

In the present study, we demonstrate the most novel characteristic morphological features of Drosophila egg chambers lacking both dcp-1 and pita functions in the germline cells. Dcp-1 is an effector caspase and it has been previously shown to play an important role during Drosophila oogenesis [McCall and Steller, 1998 : Science 279 : 230-234; Laundrie et al., 2003 : Genetics 165 : 1881-1888; Peterson et al., 2003 : Dev Biol 260 : 113-123]. The completion of sequencing and annotation of the Drosophila genome has revealed that the dcp-1 gene is nested within an intron of another distinct gene, called pita, a member of the C2H2 zinc finger protein family that regulates transcriptional initiation. The dcp-1(-/-)/pita(-/-) nurse cells exhibit euchromatic nuclei (delay of apoptosis) during the late stages of oogenesis, as revealed by conventional light and electron microscopy. The phalloidin-FITC staining discloses significant defects in actin cytoskeleton arrangement. The actin bundles fail to organize properly and the distribution of actin filaments in the ring canals is changed compared to the wild type. The oocyte and the chorion structures have been also modified. The oocyte nucleus is out of position and the chorion appears to contain irregular foldings, while the respiratory filaments obtain an altered morphology. The dcp-1(-/-)/pita(-/-) egg chambers do not exhibit the rare events of spontaneously induced apoptosis, observed for the wild type flies, during mid-oogenesis. Interestingly, the mutated egg chambers are protected by staurosporine-induced apoptosis in a percentage of 40%, strongly suggesting the essential role of dcp-1 and/or pita during mid-oogenesis.

Actins↗

Profiling of pathway-specific changes in gene expression following growth of human cancer cell lines transplanted into mice.

BACKGROUND: Tumor cells cultured in vitro are widely used to investigate the molecular biology of cancers and to evaluate responses to drugs and other agents. The full extent to which gene expression in cancer cells is modulated by extrinsic factors and by the microenvironment in which the cancer cells reside remains to be determined. Two cancer cell lines (A549 lung adenocarcinoma and U118 glioblastoma) were transplanted subcutaneously into immunodeficient mice to form tumors. Global gene-expression profiles of the tumors were determined, based on analysis of expression of human genes, and compared with expression profiles of the cell lines grown in culture. RESULTS: A bioinformatics approach associated genes that showed changes in their expression levels with functional classes as defined by either the GO gene annotations or MeSH terms in the literature. The classes of genes expressed at higher levels in cells grown in vitro indicated increased cell division and metabolism, reflecting the more favorable environment for cell proliferation. In contrast, in vivo tumor growth resulted in upregulation of a significant number of genes involved in the extracellular matrix (ECM), cell adhesion, cytokine and metalloendopeptidase activity, and neovascularization. When placed in comparable tissue environments, the U118 cells and the A549 cells expressed different sets of ECM and cell adhesion-related genes, suggesting different mechanisms of extracellular interaction at work in the different cancers. CONCLUSIONS: Studies of this type allow us to examine the specific contribution of cancer cells to gene expression patterns within an in vivo tumor mixed with non-cancerous tissue.

Animals↗

Colorectal Liver Metastasis Pathomics Model: Integrating Single-Cell and Spatial Transcriptome Analysis With Pathomics for Predicting Liver Metastasis in Colorectal Cancer.

The liver is the primary target organ for hematologic metastasis of colorectal cancer (CRC), and CRC liver metastasis (CRLM) often precludes radical resection, making it the leading cause of death in patients with CRC. To improve the identification and prediction of liver metastasis risk, we identified a cell type of liver metastasis--triggering malignant cells (LMTMCs) through integrating single-cell RNA sequencing and spatial transcriptome analysis. Multiomics cell communication analysis indicated that the interaction between fibroblasts and LMTMCs through the COL1A1-CD44/SDC4 and LAMA4-CD44 signaling axes could promote CRLM. By applying the one-class logistic regression algorithm, we developed a CRLM scoring system in the bulk RNA-sequencing data according to the abundance of LMTMCs in each individual. Using the grouping labels derived from the CRLM scoring system in the bulk data and the corresponding whole-slide images without any manual annotations at the region or pixel level, processed via slide-level weakly supervised learning, a deep-learning model based on the ResNet18 architecture, called Colorectal Liver Metastasis Pathomics Model, was developed to predict the risk of liver metastasis in patients with CRC. The Colorectal Liver Metastasis Pathomics Model achieved an area under the curve of 0.84 at the internal test set of The Cancer Genome Atlas-CRC histology images. In the external independent validation sets, namely the Affiliated Hospital of Southwest Medical University and the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University cohorts, the areas under the curve were 0.89 and 0.72, respectively, indicating effective classification performances. This study provided new insights and tools for the early identification of CRLM and demonstrated the potential of combining multiomics with deep learning-based pathomics in cancer research.

Humans↗

Distinct spatial immune microenvironment features of different EGFR mutation subtypes in early-stage lung adenocarcinoma.

Epidermal growth factor receptor (EGFR) mutations are common in lung adenocarcinoma (LUAD), yet their influence on the spatial tumor immune microenvironment (TIME) in early-stage disease remains unclear. We characterized the spatial TIME in 144 treatment-naïve, early-stage LUADs using integrated genomic sequencing and multiplex immunohistochemistry (mIHC). Although EGFR-mutant tumors overall displayed reduced CD8 + T-cell infiltration compared with EGFR-wild-type tumors, substantial heterogeneity was observed among EGFR subtypes. Specifically, L858R and rare-variant subtypes exhibited higher tumor mutational burden, greater CD8 + T-cell density, and enrichment of T-cell-dominant cellular neighborhoods relative to 19del subtype, consistent with a comparatively immune-infiltrated phenotype. In contrast, 19del tumors showed lower T-cell infiltration. TP53 co-mutation was also associated with enhanced CD8 + T-cell infiltration. These cross-sectional findings identify hypothesis-generating spatial immune phenotypes across EGFR-mutant LUAD subtypes; their potential relevance to perioperative treatment selection requires prospective validation in outcome-annotated treatment cohorts.

Humans↗

Three-dimensional digital mouse atlas using high-resolution MRI.

We present an archetypal digital atlas of the mouse embryo based on microscopic magnetic resonance imaging. The atlas is composed of three modules: (1) images of fixed embryos 6 to 15.5 days postconception (dpc) [Theiler Stages (TS) 8 to 24]; (2) an annotated atlas of the anterior portion of a 13.5 dpc (TS 22) mouse with anatomical structures delineated and linked to explanatory files; and (3) three-dimensional renderings of the entire 13.5 dpc embryo and specific organ systems. The explanatory files include brief descriptions of the structure at each volume element in the image and links to 3D reconstructions, allowing visualization of the shape of the isolated structures. These files can also contain or be linked to other types of information and data including detailed anatomical and physiological information about structures with pointers to online references, relationships between structures, temporal characteristics (cell lineage patterns, size, and shape changes), and gene expression patterns (both spatial and temporal). As an example, we have "painted" in the expression pattern of Dlx5/Dlx6 genes. This digital atlas provides a means to put specific data within the context of normal specimen anatomy, to analyze the information in 3D, and to examine relationships between different types of information.

Animals↗

A network-based analysis of allergen-challenged CD4+ T cells from patients with allergic rhinitis.

We performed a network-based analysis of DNA microarray data from allergen-challenged CD4(+) T cells from patients with seasonal allergic rhinitis. Differentially expressed genes were organized into a functionally annotated network using the Ingenuity Knowledge Database, which is based on manual review of more than 200,000 publications. The main function of this network is the regulation of lymphocyte apoptosis, a role associated with several genes of the tuber necrosis factor superfamily. The expression of TNFRSF4, one of the genes in this family, was found to be 48 times higher in allergen-challenged cells than in diluent-challenged cells. TNFRSF4 is known to inhibit apoptosis and to enhance Th2 proliferation. Examination of a different material of allergen-stimulated peripheral blood mononuclear cells showed a higher number of interleukin-4(+) type 2 CD4(+) T (Th2) cells in patients than in controls (P<0.01), as well as a higher number of non-apoptotic Th2 cells in patients (P<0.01). The number of Th2 cells expressing TNFRSF4, TNFSF7 and TNFRSF1B was also significantly higher in patients. Treatment with anti-TNFSF4 resulted in a significantly decreased number of Th2 cells (P<0.05). A logical inference from all this is that the proliferation of allergen-challenged Th2 cells is associated with a decreased apoptosis of Th2 cells and an increase in TNFRSF4 signalling.

Adolescent↗