Huali Shen

Identification of N-Glycosylation Sites on Secreted Proteins of Human Hepatocellular Carcinoma Cells with a Complementary Proteomics Approach

N-linked glycosylation is prevalent in proteins destined for extracellular environments; nearly all secreted proteins are glycosylated. However, with respect to their glycosylation sites, little attention has been paid. Here, we report the analysis of N-glycosylation sites on secreted proteins of human hepatocellular carcinoma cells. For the enrichment of glycopeptides, capture methods with hydrophilic affinity (HA) and hydrazide chemistry (HC) were used complementarily. With the use of both methods in combination with nano-LC-ESI-MS/MS analysis, 300 different glycosylation sites within 194 unique glycoproteins were identified, and 172 glycosites have not been determined experimentally previously. A direct comparison between HA and HC methods was also investigated for the first time. In brief, in terms of selectivity for glycopeptides, HC is superior to HA (92.9% vs 51.3%); however, based on the number of glycosites identified, HA outweighs HC (265 vs 159). Furthermore, unavoidable contaminants such as actin and bovine serum albumin which are not N-glycosylated could be easily depleted by using this glycoproteomic strategy. As a consequence, more low-abundance and genuinely secreted proteins were identified. Among the glycoproteins identified, alpha-fetoprotein, CD44 and laminin have been reported to be implicated in HCC and its metastasis.

Proteomic analysis on metastasis-associated proteins of human hepatocellular carcinoma tissues

Purpose: A comparative proteomic approach was used to identify and analyze proteins related to metastasis of hepatocellular carcinoma (HCC). Methods: Proteins extracted from 12 HCC tissue specimens (six with metastases and six without) were separated by two-dimensional gel electrophoresis (2-DE). The protein spots exhibiting statistical alternations between the two groups through computerized image analysis were then identified by mass spectrometry. In addition immunohistochemistry (IHC), Western blotting and RT-PCR were performed to verify the expression of certain candidate proteins. Results: 16 proteins including HSP27, S100A11, CK18 were annotated by mass spectrometry, relevant to chaperone function, cell mobility, cytoskeletal architecture, respectively. Most were previously unconnected with metastasis of HCC. Of these HSP27 was found overexpressed consistently in 2-DE patterns of all metastatic HCC tissues compared with nonmetastatic ones. IHC and Western blotting of HCC tissues confirmed this difference while RT-PCR did not. Conclusion: There are various proteins joined together in HCC metastasis. The overexpression of HSP27 may serve as a biomarker for early detection and therapeutic targets unique to the metastatic phenotype of HCC.

Systematic Analyses of the Transcriptome, Translatome, and Proteome Provide a Global View and Potential Strategy for the C‑HPP

To estimate the potential of the state-of-the-art proteomics technologies on full coverage of the encoding gene products, the Chinese Human Chromosome Proteome Consortium (CCPC) applied a multiomics strategy to systematically analyze the transciptome, translatome, and proteome of the same cultured hepatoma cells with varied metastatic potential qualitatively and quantitatively. The results provide a global view of gene expression profiles. The 9064 identified high confident proteins covered 50.2% of all gene products in the translatome. Those proteins with function of adhesion, development, reproduction, and so on are low abundant in transcriptome and translatome but absent in proteome. Taking the translatome as the background of protein expression, we found that the protein abundance plays a decisive role and hydrophobicity has a greater influence than molecular weight and isoelectric point on protein detectability. Thus, the enrichment strategy used for low-abundant transcription factors helped to identify missing proteins. In addition, those peptides with single amino acid polymorphisms played a significant role for the disease research, although they might negligibly contribute to new protein identification. The proteome raw and metadata of proteome were collected using the iProX submission system and submitted to ProteomeXchange (PXD000529, PXD000533, and PXD000535). All detailed information in this study can be accessed from the Chinese Chromosome-Centric Human Proteome Database.

A novel sphingolipid-TORC1 pathway critically promotes postembryonic development in Caenorhabditis elegans

Regulation of animal development in response to nutritional cues is an intensely studied problem related to disease and aging. While extensive studies indicated roles of the Target of Rapamycin (TOR) in sensing certain nutrients for controlling growth and metabolism, the roles of fatty acids and lipids in TOR-involved nutrient/food responses are obscure. Caenorhabditis elegans halts postembryonic growth and development shortly after hatching in response to monomethyl branched-chain fatty acid (mmBCFA) deficiency. Here, we report that an mmBCFA-derived sphingolipid, d17iso-glucosylceramide, is a critical metabolite in regulating growth and development. Further analysis indicated that this lipid function is mediated by TORC1 and antagonized by the NPRL-2/3 complex in the intestine. Strikingly, the essential lipid function is bypassed by activating TORC1 or inhibiting NPRL-2/3. Our findings uncover a novel lipid-TORC1 signaling pathway that coordinates nutrient and metabolic status with growth and development, advancing our understanding of the physiological roles of mmBCFAs, ceramides, and TOR. DOI: http://dx.doi.org/10.7554/eLife.00429.001

Regulation of maternal phospholipid composition and IP(3)-dependent embryonic membrane dynamics by a specific fatty acid metabolic event in C. elegans.

Natural fatty acids (FAs) exhibit vast structural diversity, but the functional importance of FA variations and the mechanism by which they contribute to a healthy lipid composition in animals remain largely unexplored. A large family of acyl-CoA synthetases (ACSs) regulates FA metabolism by esterifying FA to coenyzme A. However, little is known about how particular FA-ACS combinations affect lipid composition and specific cellular functions. We analyzed how the activity of ACS-1 on branched chain FA C17ISO impacts maternal lipid content, signal transduction, and development in Caenorhabditis elegans embryos. We show that expression of ACS-1 in the somatic gonad guides the incorporation of C17ISO into certain phospholipids and thus regulates the phospholipid composition in the zygote. Disrupting this ACS-1 function causes striking defects in complex membrane dynamics, including exocytosis and cytokinesis, leading to early embryonic lethality. These defects are suppressed by hyperactive IP(3) signaling, suggesting that C17ISO and ACS-1 functions are necessary for optimal IP(3) signaling essential for early embryogenesis. This study shows a novel role of branched chain FAs whose functions in humans and animals are unknown and uncovers a novel intercellular regulatory pathway linking a specific FA-ACS interaction to specific developmental events.

First proteomic exploration of protein-encoding genes on chromosome 1 in human liver, stomach, and colon.

The launch of the Chromosome-Centric Human Proteome Project provides an opportunity to gain insight into the human proteome. The Chinese Human Chromosome Proteome Consortium has initiated proteomic exploration of protein-encoding genes on human chromosomes 1, 8, and 20. Collaboration within the consortium has generated a comprehensive proteome data set using normal and carcinomatous tissues from human liver, stomach, and colon and 13 cell lines originating in these organs. We identified 12,101 proteins (59.8% coverage against Swiss-Prot human entries) with a protein false discovery rate of less than 1%. On chromosome 1, 1,252 proteins mapping to 1,227 genes, representing 60.9% of Swiss-Prot entries, were identified; however, 805 proteins remain unidentified, suggesting that analysis of more diverse samples using more advanced proteomic technologies is required. Genes encoding the unidentified proteins were concentrated in seven blocks, located at p36, q12-21, and q42-44, partly consistent with correlation of these blocks with cancers of the liver, stomach, and colon. Combined transcriptome, proteome, and cofunctionality analyses confirmed 23 coexpression clusters containing 165 genes. Biological information, including chromosome structure, GC content, and protein coexpression pattern was analyzed using multilayered, circular visualization and tabular visualization. Details of data analysis and updates are available in the Chinese Chromosome-Centric Human Proteome Database ( http://proteomeview.hupo.org.cn/chromosome/ ).

Nanozeolite-driven approach for enrichment of secretory proteins in human hepatocellular carcinoma cells

Given the importance of secreted proteins as a source for early detection and diagnosis of disease, secreted proteins have been arousing considerable attention. However, the analysis of secreted proteins represents a challenge for current proteomic techniques. One of the difficulties in secretomic study is to concentrate proteins from large volume of growth media, particularly, the low abundant and low molecular weight proteins (molecular weight <30 kDa). Herein, we describe a novel strategy for harvesting secretory proteins. In this approach, proteins secreted from the human hepatocellular carcinoma cell line were enriched by zeolite LTL nanocrystals, followed by 1‐D SDS‐PAGE for protein fractionation and then by LC‐ESI‐MS/MS for protein identification. In total, 1474 unique proteins were confidently identified, including 505 low molecular weight proteins, and covered a broad range of pI and molecular weight. Furthermore, this study not only offered an efficient and powerful method for the enrichment of secretory proteins but also allowed in‐depth study of secretome of hepatocellular carcinoma cells. The reported work is expected to represent one of the most comprehensive secretomic analyses so far.

Systematic analysis of missing proteins provides clues to help define all of the protein-coding genes on human chromosome 1

Our first proteomic exploration of human chromosome 1 began in 2012 (CCPD 1.0), and the genome-wide characterization of the human proteome through public resources revealed that 32-39% of proteins on chromosome 1 remain unidentified. To characterize all of the missing proteins, we applied an OMICS-integrated analysis of three human liver cell lines (Hep3B, MHCC97H, and HCCLM3) using mRNA and ribosome nascent-chain complex-bound mRNA deep sequencing and proteome profiling, contributing mass spectrometric evidence of 60 additional chromosome 1 gene products. Integration of the annotation information from public databases revealed that 84.6% of genes on chromosome 1 had high-confidence protein evidence. Hierarchical analysis demonstrated that the remaining 320 missing genes were either experimentally or biologically explainable; 128 genes were found to be tissue-specific or rarely expressed in some tissues, whereas 91 proteins were uncharacterized mainly due to database annotation diversity, 89 were genes with low mRNA abundance or unsuitable protein properties, and 12 genes were identifiable theoretically because of a high abundance of mRNAs/RNC-mRNAs and the existence of proteotypic peptides. The relatively large contribution made by the identification of enriched transcription factors suggested specific enrichment of low-abundance protein classes, and SRM/MRM could capture high-priority missing proteins. Detailed analyses of the differentially expressed genes indicated that several gene families located on chromosome 1 may play critical roles in mediating hepatocellular carcinoma invasion and metastasis. All mass spectrometry proteomics data corresponding to our study were deposited in the ProteomeXchange under the identifiers PXD000529, PXD000533, and PXD000535.

CAV1 Promotes HCC Cell Progression and Metastasis through Wnt/β-Catenin Pathway

Caveolin-1 (CAV1) has significant roles in many primary tumors and metastasis, despite the fact that malignant cells from different cancer types have different profiles of CAV1 expression. There is little information concerning CAV1 expression and role in hepatocellular carcinoma (HCC) progresion and metastasis. The role of CAV1 in HCC progression was explored in this study. We reported that CAV1 was overexpressed in highly invasive HCC cell lines compared with poorly invasive ones. The immunohistochemical staining was obviously stronger in metastatic HCC samples than in the non-metastatic specimens via tissue microarrays. Furthermore, CAV1 overexpression enhanced HCC cell invasiveness in vitro, and promoted tumorigenicity and lung metastasis in vivo. By contrast, CAV1 stable knockdown markedly reduced these malignant behaviors. Importantly, we found that CAV1 could induce EMT process through Wnt/β-catenin pathway to promote HCC metastasis. We also identify MMP-7 as a novel downstream target of CAV1. We have determined that CAV1 acts as a mediator between hyperactive ERK1/2 signaling and regulation of MMP-7 transcription. Together, these studies mechanistically show a previously unrecognized interplay between CAV1, EMT, ERK1/2 and MMP-7 that is likely significant in the progression of HCC toward metastasis.

Efficient and accurate glycopeptide identification pipeline for high-throughput site-specific N-glycosylation analysis.

Study of site-specific N-glycosylation in complex sample remains a huge analytical challenge because protein glycosylation is structurally diverse in post-translational modifications, resulting in an intricacy of N-glycopeptides. Here we have developed a novel approach for high-throughput N-glycopeptide profiling based on a network-centric algorithm for deciphering glycan fragmentation in mass spectrometry. We performed an extensive validation and a high-throughput N-glycosylation study on serum and identified thousands of N-glycopeptide spectra with high confidence. The results revealed a similar level of glycan microheterogeneity to that of conventional glycomics approach on individual proteins and provided the unique in-depth site-specific information that could only be studied through glycopeptide profiling.