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Genomics, Proteomics & Bioinformatics

2002 (v1, n1) to Present ISSN: 1671-8925

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Glycoproteogenomics: Setting the Course for Next-generation Cancer Neoantigen Discovery for Cancer Vaccines.

José Alexandre FERREIRA ; Marta RELVAS-SANTOS ; Andreia PEIXOTO ; André M N SILVA ; Lúcio LARA SANTOS

Genomics, Proteomics & Bioinformatics.2021;19(1):25-43. doi:10.1016/j.gpb.2021.03.005

Molecular-assisted precision oncology gained tremendous ground with high-throughput next-generation sequencing (NGS), supported by robust bioinformatics. The quest for genomics-based cancer medicine set the foundations for improved patient stratification, while unveiling a wide array of neoantigens for immunotherapy. Upfront pre-clinical and clinical studies have successfully used tumor-specific peptides in vaccines with minimal off-target effects. However, the low mutational burden presented by many lesions challenges the generalization of these solutions, requiring the diversification of neoantigen sources. Oncoproteogenomics utilizing customized databases for protein annotation by mass spectrometry (MS) is a powerful tool toward this end. Expanding the concept toward exploring proteoforms originated from post-translational modifications (PTMs) will be decisive to improve molecular subtyping and provide potentially targetable functional nodes with increased cancer specificity. Walking through the path of systems biology, we highlight that alterations in protein glycosylation at the cell surface not only have functional impact on cancer progression and dissemination but also originate unique molecular fingerprints for targeted therapeutics. Moreover, we discuss the outstanding challenges required to accommodate glycoproteomics in oncoproteogenomics platforms. We envisage that such rationale may flag a rather neglected research field, generating novel paradigms for precision oncology and immunotherapy.

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Characterization of Lysine Monomethylome and Methyltransferase in Model Cyanobacterium Synechocystis sp. PCC 6803.

Xiaohuang LIN ; Mingkun YANG ; Xin LIU ; Zhongyi CHENG ; Feng GE

Genomics, Proteomics & Bioinformatics.2020;18(3):289-304. doi:10.1016/j.gpb.2019.04.005

Protein lysine methylation is a prevalent post-translational modification (PTM) and plays critical roles in all domains of life. However, its extent and function in photosynthetic organisms are still largely unknown. Cyanobacteria are a large group of prokaryotes that carry out oxygenic photosynthesis and are applied extensively in studies of photosynthetic mechanisms and environmental adaptation. Here we integrated propionylation of monomethylated proteins, enrichment of the modified peptides, and mass spectrometry (MS) analysis to identify monomethylated proteins in Synechocystis sp. PCC 6803 (Synechocystis). Overall, we identified 376 monomethylation sites in 270 proteins, with numerous monomethylated proteins participating in photosynthesis and carbon metabolism. We subsequently demonstrated that CpcM, a previously identified asparagine methyltransferase in Synechocystis, could catalyze lysine monomethylation of the potential aspartate aminotransferase Sll0480 both in vivo and in vitro and regulate the enzyme activity of Sll0480. The loss of CpcM led to decreases in the maximum quantum yield in primary photosystem II (PSII) and the efficiency of energy transfer during the photosynthetic reaction in Synechocystis. We report the first lysine monomethylome in a photosynthetic organism and present a critical database for functional analyses of monomethylation in cyanobacteria. The large number of monomethylated proteins and the identification of CpcM as the lysine methyltransferase in cyanobacteria suggest that reversible methylation may influence the metabolic process and photosynthesis in both cyanobacteria and plants.
Bacterial Proteins/metabolism* ; Lysine/metabolism* ; Methyltransferases/metabolism* ; Photosynthesis ; Protein Processing, Post-Translational ; Synechocystis/growth & development*

Bacterial Proteins/metabolism* ; Lysine/metabolism* ; Methyltransferases/metabolism* ; Photosynthesis ; Protein Processing, Post-Translational ; Synechocystis/growth & development*

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Genome Size Evolution Mediated by Gypsy Retrotransposons in Brassicaceae.

Shi-Jian ZHANG ; Lei LIU ; Ruolin YANG ; Xiangfeng WANG

Genomics, Proteomics & Bioinformatics.2020;18(3):321-332. doi:10.1016/j.gpb.2018.07.009

The dynamic activity of transposable elements (TEs) contributes to the vast diversity of genome size and architecture among plants. Here, we examined the genomic distribution and transposition activity of long terminal repeat retrotransposons (LTR-RTs) in Arabidopsis thaliana (Ath) and three of its relatives, Arabidopsis lyrata (Aly), Eutrema salsugineum (Esa), and Schrenkiella parvula (Spa), in Brassicaceae. Our analyses revealed the distinct evolutionary dynamics of Gypsyretrotransposons, which reflects the different patterns of genome size changes of the four species over the past million years. The rate of Gypsy transposition in Aly is approximately five times more rapid than that of Ath and Esa, suggesting an expanding Aly genome. Gypsy insertions in Esa are strictly confined to pericentromeric heterochromatin and associated with dramatic centromere expansion. In contrast, Gypsy insertions in Spa have been largely suppressed over the last million years, likely as a result of a combination of an inherent molecular mechanism of preferential DNA removal and purifying selection at Gypsy elements. Additionally, species-specific clades of Gypsy elements shaped the distinct genome architectures of Aly and Esa.
Brassicaceae/genetics* ; Evolution, Molecular ; Genome Size ; Genome, Plant ; Genomics ; Phylogeny ; Retroelements ; Species Specificity

Brassicaceae/genetics* ; Evolution, Molecular ; Genome Size ; Genome, Plant ; Genomics ; Phylogeny ; Retroelements ; Species Specificity

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Ubiquitinome Profiling Reveals the Landscape of Ubiquitination Regulation in Rice Young Panicles.

Liya ZHU ; Han CHENG ; Guoqing PENG ; Shuansuo WANG ; Zhiguo ZHANG ; Erdong NI ; Xiangdong FU ; Chuxiong ZHUANG ; Zexian LIU ; Hai ZHOU

Genomics, Proteomics & Bioinformatics.2020;18(3):305-320. doi:10.1016/j.gpb.2019.01.005

Ubiquitination, an essential post-transcriptional modification (PTM), plays a vital role in nearly every biological process, including development and growth. Despite its functions in plant reproductive development, its targets in rice panicles remain unclear. In this study, we used proteome-wide profiling of lysine ubiquitination in rice (O. sativa ssp. indica) young panicles. We created the largest ubiquitinome dataset in rice to date, identifying 1638 lysine ubiquitination sites on 916 unique proteins. We detected three conserved ubiquitination motifs, noting that acidic glutamic acid (E) and aspartic acid (D) were most frequently present around ubiquitinated lysine. Enrichment analysis of Gene Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of these ubiquitinated proteins revealed that ubiquitination plays an important role in fundamental cellular processes in rice young panicles. Interestingly, enrichment analysis of protein domains indicated that ubiquitination was enriched on a variety of receptor-like kinases and cytoplasmic tyrosine and serine-threonine kinases. Furthermore, we analyzed the crosstalk between ubiquitination, acetylation, and succinylation, and constructed a potential protein interaction network within our rice ubiquitinome. Moreover, we identified ubiquitinated proteins related to pollen and grain development, indicating that ubiquitination may play a critical role in the physiological functions in young panicles. Taken together, we reported the most comprehensive lysine ubiquitinome in rice so far, and used it to reveal the functional role of lysine ubiquitination in rice young panicles.
Acetylation ; Lysine/metabolism* ; Oryza/metabolism* ; Plant Proteins/metabolism* ; Protein Interaction Maps ; Protein Processing, Post-Translational ; Proteome/metabolism* ; Ubiquitin/metabolism* ; Ubiquitination

Acetylation ; Lysine/metabolism* ; Oryza/metabolism* ; Plant Proteins/metabolism* ; Protein Interaction Maps ; Protein Processing, Post-Translational ; Proteome/metabolism* ; Ubiquitin/metabolism* ; Ubiquitination

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Comparative Genome Analysis of Scutellaria baicalensis and Scutellaria barbata Reveals the Evolution of Active Flavonoid Biosynthesis.

Zhichao XU ; Ranran GAO ; Xiangdong PU ; Rong XU ; Jiyong WANG ; Sihao ZHENG ; Yan ZENG ; Jun CHEN ; Chunnian HE ; Jingyuan SONG

Genomics, Proteomics & Bioinformatics.2020;18(3):230-240. doi:10.1016/j.gpb.2020.06.002

Scutellaria baicalensis (S. baicalensis) and Scutellaria barbata (S. barbata) are common medicinal plants of the Lamiaceae family. Both produce specific flavonoid compounds, including baicalein, scutellarein, norwogonin, and wogonin, as well as their glycosides, which exhibit antioxidant and antitumor activities. Here, we report chromosome-level genome assemblies of S. baicalensis and S. barbata with quantitative chromosomal variation (2n = 18 and 2n = 26, respectively). The divergence of S. baicalensis and S. barbata occurred far earlier than previously reported, and a whole-genome duplication (WGD) event was identified. The insertion of long terminal repeat elements after speciation might be responsible for the observed chromosomal expansion and rearrangement. Comparative genome analysis of the congeneric species revealed the species-specific evolution of chrysin and apigenin biosynthetic genes, such as the S. baicalensis-specific tandem duplication of genes encoding phenylalanine ammonia lyase and chalcone synthase, and the S. barbata-specific duplication of genes encoding 4-CoA ligase. In addition, the paralogous duplication, colinearity, and expression diversity of CYP82D subfamily members revealed the functional divergence of genes encoding flavone hydroxylase between S. baicalensis and S. barbata. Analyzing these Scutellaria genomes reveals the common and species-specific evolution of flavone biosynthetic genes. Thus, these findings would facilitate the development of molecular breeding and studies of biosynthesis and regulation of bioactive compounds.
Evolution, Molecular ; Flavonoids/biosynthesis* ; Genome, Plant ; Plant Extracts/genetics* ; Scutellaria/metabolism* ; Whole Genome Sequencing

Evolution, Molecular ; Flavonoids/biosynthesis* ; Genome, Plant ; Plant Extracts/genetics* ; Scutellaria/metabolism* ; Whole Genome Sequencing

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CircPlant: An Integrated Tool for circRNA Detection and Functional Prediction in Plants.

Peijing ZHANG ; Yongjing LIU ; Hongjun CHEN ; Xianwen MENG ; Jitong XUE ; Kunsong CHEN ; Ming CHEN

Genomics, Proteomics & Bioinformatics.2020;18(3):352-358. doi:10.1016/j.gpb.2020.10.001

The recent discovery of circular RNAs (circRNAs) and characterization of their functional roles have opened a new avenue for understanding the biology of genomes. circRNAs have been implicated to play important roles in a variety of biological processes, but their precise functions remain largely elusive. Currently, a few approaches are available for novel circRNA prediction, but almost all these methods are intended for animal genomes. Considering that the major differences between the organization of plant and mammal genomes cannot be neglected, a plant-specific method is needed to enhance the validity of plant circRNA identification. In this study, we present CircPlant, an integrated tool for the exploration of plant circRNAs, potentially acting as competing endogenous RNAs (ceRNAs), and their potential functions. With the incorporation of several unique plant-specific criteria, CircPlant can accurately detect plant circRNAs from high-throughput RNA-seq data. Based on comparison tests on simulated and real RNA-seq datasets from Arabidopsis thaliana and Oryza sativa, we show that CircPlant outperforms all evaluated competing tools in both accuracy and efficiency. CircPlant is freely available at http://bis.zju.edu.cn/circplant.
Arabidopsis/metabolism* ; Oryza/metabolism* ; RNA, Circular/metabolism* ; RNA, Plant/metabolism* ; Sequence Analysis, RNA/methods*

Arabidopsis/metabolism* ; Oryza/metabolism* ; RNA, Circular/metabolism* ; RNA, Plant/metabolism* ; Sequence Analysis, RNA/methods*

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Paleo-polyploidization in Lycophytes.

Jinpeng WANG ; Jigao YU ; Pengchuan SUN ; Chao LI ; Xiaoming SONG ; Tianyu LEI ; Yuxian LI ; Jiaqing YUAN ; Sangrong SUN ; Hongling DING ; Xueqian DUAN ; Shaoqi SHEN ; Yanshuang SHEN ; Jing LI ; Fanbo MENG ; Yangqin XIE ; Jianyu WANG ; Yue HOU ; Jin ZHANG ; Xianchun ZHANG ; Xiu-Qing LI ; Andrew H PATERSON ; Xiyin WANG

Genomics, Proteomics & Bioinformatics.2020;18(3):333-340. doi:10.1016/j.gpb.2020.10.002

Lycophytes and seed plants constitute the typical vascular plants. Lycophytes have been thought to have no paleo-polyploidization although the event is known to be critical for the fast expansion of seed plants. Here, genomic analyses including the homologous gene dot plot analysis detected multiple paleo-polyploidization events, with one occurring approximately 13-15 million years ago (MYA) and another about 125-142 MYA, during the evolution of the genome of Selaginella moellendorffii, a model lycophyte. In addition, comparative analysis of reconstructed ancestral genomes of lycophytes and angiosperms suggested that lycophytes were affected by more paleo-polyploidization events than seed plants. Results from the present genomic analyses indicate that paleo-polyploidization has contributed to the successful establishment of both lineages-lycophytes and seed plants-of vascular plants.
Evolution, Molecular ; Genome, Plant ; Genomics ; Phylogeny ; Polyploidy ; Selaginellaceae/genetics*

Evolution, Molecular ; Genome, Plant ; Genomics ; Phylogeny ; Polyploidy ; Selaginellaceae/genetics*

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Mapping Genome Variants Sheds Light on Genetic and Phenotypic Differentiation in Chinese.

Li GUO ; Kai YE

Genomics, Proteomics & Bioinformatics.2019;17(3):226-228. doi:10.1016/j.gpb.2019.09.001


Asian Continental Ancestry Group ; Cell Differentiation ; Genome ; Humans

Asian Continental Ancestry Group ; Cell Differentiation ; Genome ; Humans

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Novel Autoantibodies Related to Cell Death and DNA Repair Pathways in Systemic Lupus Erythematosus.

Hui LUO ; Ling WANG ; Ding BAO ; Li WANG ; Hongjun ZHAO ; Yun LIAN ; Mei YAN ; Chandra MOHAN ; Quan-Zhen LI

Genomics, Proteomics & Bioinformatics.2019;17(3):248-259. doi:10.1016/j.gpb.2018.11.004

Systemic lupus erythematosus (SLE) is a complex autoimmune syndrome characterized by various co-existing autoantibodies (autoAbs) in patients' blood. However, the full spectrum of autoAbs in SLE has not been comprehensively elucidated. In this study, a commercial platform bearing 9400 antigens (ProtoArray) was used to identify autoAbs that were significantly elevated in the sera of SLE patients. By comparing the autoAb profiles of SLE patients with those of healthy controls, we identified 437 IgG and 1213 IgM autoAbs that the expression levels were significantly increased in SLE (P < 0.05). Use of the ProtoArray platform uncovered over 300 novel autoAbs targeting a broad range of nuclear, cytoplasmic, and membrane antigens. Molecular interaction network analysis revealed that the antigens targeted by the autoAbs were most significantly enriched in cell death, cell cycle, and DNA repair pathways. A group of autoAbs associated with cell apoptosis and DNA repair function, including those targeting APEX1, AURKA, POLB, AGO1, HMGB1, IFIT5, MAPKAPK3, PADI4, RGS3, SRP19, UBE2S, and VRK1, were further validated by ELISA and Western blot in a larger cohort. In addition, the levels of autoAbs against APEX1, HMGB1, VRK1, AURKA, PADI4, and SRP19 were positively correlated with the level of anti-dsDNA in SLE patients. Comprehensive autoAb screening has identified novel autoAbs, which may shed light on potential pathogenic pathways leading to lupus.

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Diversified Application of Barcoded PLATO (PLATO-BC) Platform for Identification of Protein Interactions.

Weili KONG ; Tsuyoshi HAYASHI ; Guillaume FICHES ; Qikai XU ; Mamie Z LI ; Jianwen QUE ; Shuai LIU ; Wei ZHANG ; Jun QI ; Netty SANTOSO ; Stephen J ELLEDGE ; Jian ZHU

Genomics, Proteomics & Bioinformatics.2019;17(3):319-331. doi:10.1016/j.gpb.2018.12.010

Proteins usually associate with other molecules physically to execute their functions. Identifying these interactions is important for the functional analysis of proteins. Previously, we reported the parallel analysis of translated ORFs (PLATO) to couple ribosome display of full-length ORFs with affinity enrichment of mRNA/protein/ribosome complexes for the "bait" molecules, followed by the deep sequencing analysis of mRNA. However, the sample processing, from extraction of precipitated mRNA to generation of DNA libraries, includes numerous steps, which is tedious and may cause the loss of materials. Barcoded PLATO (PLATO-BC), an improved platform was further developed to test its application for protein interaction discovery. In this report, we tested the antisera-antigen interaction using serum samples from patients with inclusion body myositis (IBM). Tripartite motif containing 21 (TRIM21) was identified as a potentially new IBM autoantigen. We also expanded the application of PLATO-BC to identify protein interactions for JQ1, single ubiquitin peptide, and NS5 protein of Zika virus. From PLATO-BC analyses, we identified new protein interactions for these "bait" molecules. We demonstrate that Ewing sarcoma breakpoint region 1 (EWSR1) binds to JQ1 and their interactions may interrupt the EWSR1 association with acetylated histone H4. RIO kinase 3 (RIOK3), a newly identified ubiquitin-binding protein, is preferentially associated with K63-ubiquitin chain. We also find that Zika NS5 protein interacts with two previously unreported host proteins, par-3 family cell polarity regulator (PARD3) and chromosome 19 open reading frame 53 (C19orf53), whose attenuated expression benefits the replication of Zika virus. These results further demonstrate that PLATO-BC is capable of identifying novel protein interactions for various types of "bait" molecules.

Country

China

Publisher

中科院北京基因组研究所

ElectronicLinks

https://www.sciencedirect.com/journal/genomics-proteomics-and-bioinformatics

Editor-in-chief

E-mail

editor@big.ac.cn

Abbreviation

Genomics, Proteomics & Bioinformatics

Vernacular Journal Title

基因组蛋白质组与生物信息学报·英文版

ISSN

1672-0229

EISSN

Year Approved

2013

Current Indexing Status

Currently Indexed

Start Year

2003

Description

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