scholarly journals N-Glycans and sulfated glycosaminoglycans contribute to the action of diverse Tc toxins on mammalian cells

2021 ◽  
Vol 17 (2) ◽  
pp. e1009244
Author(s):  
Nan Song ◽  
Lihong Chen ◽  
Xingmei Ren ◽  
Nicholas R. Waterfield ◽  
Jian Yang ◽  
...  
Keyword(s):  
Mammalian Cells ◽  
Protein S ◽  
Surface Binding ◽  
Bacterial Genomes ◽  
Host Tropism ◽  
Processing Enzymes ◽  
Genome Wide ◽  
Screening Strategies ◽  
Cellular Recognition ◽  
Heparan Sulfates

Tc toxin is an exotoxin composed of three subunits named TcA, TcB and TcC. Structural analysis revealed that TcA can form homopentamer that mediates the cellular recognition and delivery processes, thus contributing to the host tropism of Tc toxin. N-glycans and heparan sulfates have been shown to act as receptors for several Tc toxins. Here, we performed two independent genome-wide CRISPR-Cas9 screens, and have validated glycans and sulfated glycosaminoglycans (sGAGs) as Tc toxin receptors also for previously uncharacterized Tc toxins. We found that TcdA1 form Photorhabdus luminescens W14 (TcdA1W14) can recognize N-glycans via the RBD-D domain, corroborating previous findings. Knockout of N-glycan processing enzymes specifically blocks the intoxication of TcdA1W14-assembled Tc toxin. On the other hand, our results showed that sGAG biosynthesis pathway is involved in the cell surface binding of TcdA2TT01 (TcdA2 from P. luminescens TT01). Competition assays and biolayer interferometry demonstrated that the sulfation group in sGAGs is required for the binding of TcdA2TT01. Finally, based on the conserved domains of representative TcA proteins, we have identified 1,189 putative TcAs from 1,039 bacterial genomes. These TcAs are categorized into five subfamilies. Each subfamily shows a good correlation with both genetic organization of the TcA protein(s) and taxonomic origin of the genomes, suggesting these subfamilies may utilize different mechanisms for cellular recognition. Taken together, our results support the previously described two different binding modalities of Tc toxins, leading to unique host targeting properties. We also present the bioinformatics data and receptor screening strategies for TcA proteins, provide new insights into understanding host specificity and biomedical applications of Tc toxins.

scholarly journals Major histocompatibility complex class I molecules mediate association of SV40 with caveolae.

1997 ◽  
Vol 8 (1) ◽  
pp. 47-57 ◽  
Author(s):  
E Stang ◽  
J Kartenbeck ◽  
R G Parton
Keyword(s):  
Major Histocompatibility Complex ◽  
Mhc Class I ◽  
Mammalian Cells ◽  
Simian Virus 40 ◽  
Class I ◽  
Major Histocompatibility ◽  
Surface Binding ◽  
Histocompatibility Complex ◽  
Mhc Class I Molecule ◽  
Mhc Class I Molecules

Simian virus 40 (SV40) has been shown to enter mammalian cells via uncoated plasma membrane invaginations. Viral particles subsequently appear within the endoplasmic reticulum. In the present study, we have examined the surface binding and internalization of SV40 by immunoelectron microscopy. We show that SV40 associates with surface pits which have the characteristics of caveolae and are labeled with antibodies to the caveolar marker protein, caveolin-1. SV40 is believed to use major histocompatibility complex (MHC) class I molecules as cell surface receptors. Using a number of MHC class I-specific monoclonal antibodies, we found that both viral infection and association of virus with caveolae were strongly reduced by preincubation with anti-MHC class I antibodies. Because binding of SV40 to MHC class I molecules may induce clustering, we investigated whether antibody cross-linked class I molecules also redistributed to caveolae. Clusters of MHC class I molecules were indeed shown to be specifically associated with caveolin-labeled surface pits. Taken together, the results suggest that SV40 may make use of MHC class I molecule clustering and the caveolae pathway to enter mammalian cells.

Controlling quality and amount of mitochondria by mitophagy: insights into the role of ubiquitination and deubiquitination

2016 ◽  
Vol 397 (7) ◽  
pp. 637-647 ◽  
Author(s):  
Tao Tan ◽  
Marcel Zimmermann ◽  
Andreas S. Reichert
Keyword(s):  
Mammalian Cells ◽  
Mitochondrial Fission ◽  
Baker’S Yeast ◽  
Negative Regulator ◽  
Mitochondrial Outer Membrane ◽  
Baker's Yeast ◽  
Genome Wide ◽  
A Genome ◽  
Autophagy Pathway ◽  
Quantity Control

Abstract Mitophagy is a selective autophagy pathway conserved in eukaryotes and plays an essential role in mitochondrial quality and quantity control. Mitochondrial fission and fusion cycles maintain a certain amount of healthy mitochondria and allow the isolation of damaged mitochondria for their elimination by mitophagy. Mitophagy can be classified into receptor-dependent and ubiquitin-dependent pathways. The mitochondrial outer membrane protein Atg32 is identified as the only known receptor for mitophagy in baker’s yeast, whereas mitochondrial proteins FUNDC1, NIX/BNIP3L, BNIP3 and Bcl2L13 are recognized as mitophagy receptors in mammalian cells. Earlier studies showed that ubiquitination and deubiquitination occurs in yeast, yet there is no direct evidence for an ubiquitin-dependent mitophagy pathway in this organism. In contrast, a ubiquitin-/PINK1-/Parkin-dependent mitophagy pathway was unraveled and was extensively characterized in mammals in recent years. Recently, a quantitative method termed synthetic quantitative array (SQA) technology was developed to identify modulators of mitophagy in baker’s yeast on a genome-wide level. The Ubp3-Bre5 deubiquitination complex was found as a negative regulator of mitophagy while promoting other autophagic pathways. Here we discuss how ubiquitination and deubiquitination regulates mitophagy and other selective forms of autophagy and what argues for using baker’s yeast as a model to study the ubiquitin-dependent mitophagy pathway.

Mapping replication timing domains genome wide in single mammalian cells with single-cell DNA replication sequencing

2020 ◽  
Vol 15 (12) ◽  
pp. 4058-4100
Author(s):  
Hisashi Miura ◽  
Saori Takahashi ◽  
Takahiro Shibata ◽  
Koji Nagao ◽  
Chikashi Obuse ◽  
...  
Keyword(s):  
Dna Replication ◽  
Single Cell ◽  
Mammalian Cells ◽  
Replication Timing ◽  
Genome Wide

scholarly journals An Update on Mitochondrial Reactive Oxygen Species Production

Antioxidants ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 472 ◽  
Author(s):  
Ryan J. Mailloux
Keyword(s):  
Mammalian Cells ◽  
Protein S ◽  
Vital Role ◽  
Tissue Type ◽  
H2o2 Production ◽  
Ros Production ◽  
Nutrient Metabolism ◽  
Physiological Factors ◽  
Genes Encoding ◽  
The Impact

Mitochondria are quantifiably the most important sources of superoxide (O2●−) and hydrogen peroxide (H2O2) in mammalian cells. The overproduction of these molecules has been studied mostly in the contexts of the pathogenesis of human diseases and aging. However, controlled bursts in mitochondrial ROS production, most notably H2O2, also plays a vital role in the transmission of cellular information. Striking a balance between utilizing H2O2 in second messaging whilst avoiding its deleterious effects requires the use of sophisticated feedback control and H2O2 degrading mechanisms. Mitochondria are enriched with H2O2 degrading enzymes to desensitize redox signals. These organelles also use a series of negative feedback loops, such as proton leaks or protein S-glutathionylation, to inhibit H2O2 production. Understanding how mitochondria produce ROS is also important for comprehending how these organelles use H2O2 in eustress signaling. Indeed, twelve different enzymes associated with nutrient metabolism and oxidative phosphorylation (OXPHOS) can serve as important ROS sources. This includes several flavoproteins and respiratory complexes I-III. Progress in understanding how mitochondria generate H2O2 for signaling must also account for critical physiological factors that strongly influence ROS production, such as sex differences and genetic variances in genes encoding antioxidants and proteins involved in mitochondrial bioenergetics. In the present review, I provide an updated view on how mitochondria budget cellular H2O2 production. These discussions will focus on the potential addition of two acyl-CoA dehydrogenases to the list of ROS generators and the impact of important phenotypic and physiological factors such as tissue type, mouse strain, and sex on production by these individual sites.

scholarly journals VPS37A directs ESCRT recruitment for phagophore closure

2019 ◽  
Vol 218 (10) ◽  
pp. 3336-3354 ◽  
Author(s):  
Yoshinori Takahashi ◽  
Xinwen Liang ◽  
Tatsuya Hattori ◽  
Zhenyuan Tang ◽  
Haiyan He ◽  
...  
Keyword(s):  
Mammalian Cells ◽  
Growth Factor Receptor ◽  
Multivesicular Body ◽  
Regulatory Mechanisms ◽  
Endosomal Sorting ◽  
Aaa Atpase ◽  
Escrt Machinery ◽  
Genome Wide ◽  
A Genome ◽  
Epidermal Growth

The process of phagophore closure requires the endosomal sorting complex required for transport III (ESCRT-III) subunit CHMP2A and the AAA ATPase VPS4, but their regulatory mechanisms remain unknown. Here, we establish a FACS-based HaloTag-LC3 autophagosome completion assay to screen a genome-wide CRISPR library and identify the ESCRT-I subunit VPS37A as a critical component for phagophore closure. VPS37A localizes on the phagophore through the N-terminal putative ubiquitin E2 variant domain, which is found to be required for autophagosome completion but dispensable for ESCRT-I complex formation and the degradation of epidermal growth factor receptor in the multivesicular body pathway. Notably, loss of VPS37A abrogates the phagophore recruitment of the ESCRT-I subunit VPS28 and CHMP2A, whereas inhibition of membrane closure by CHMP2A depletion or VPS4 inhibition accumulates VPS37A on the phagophore. These observations suggest that VPS37A coordinates the recruitment of a unique set of ESCRT machinery components for phagophore closure in mammalian cells.

scholarly journals Optimizing RNA interference for application in mammalian cells

2004 ◽  
Vol 380 (3) ◽  
pp. 593-603 ◽  
Author(s):  
René H. MEDEMA
Keyword(s):  
Rna Interference ◽  
Gene Silencing ◽  
Mammalian Cells ◽  
Reverse Genetics ◽  
Mutational Analysis ◽  
Life Sciences ◽  
Novel Technologies ◽  
Genome Wide ◽  
Technological Developments ◽  
Interfering Rna

Over the last 2 years, the scientific community has rapidly embraced novel technologies that allow gene silencing in vertebrates. Ease of application, cost effectiveness and the possibilities for genome-wide reverse genetics have quickly turned this approach into a widely accepted, almost mandatory asset for a self-respecting laboratory in life sciences. This review discusses some of the recent technological developments that allow the application of RNAi (RNA interference) in mammalian cells. In addition, the advantages of applying RNAi to study cell cycle events and the emerging approaches to perform mutational analysis by complementation in mammalian cells are evaluated. In addition, common pitfalls and drawbacks of RNAi will be reviewed, as well as the possible ways to get around these shortcomings of gene silencing by small interfering RNA.

scholarly journals Domains of the Hepatitis B Virus Small Surface Protein S Mediating Oligomerization

2018 ◽  
Vol 92 (11) ◽  
Author(s):  
Sascha Suffner ◽  
Nadine Gerstenberg ◽  
Maria Patra ◽  
Paula Ruibal ◽  
Ahmed Orabi ◽  
...  
Keyword(s):  
Amino Acids ◽  
Hepatitis B Virus ◽  
Hepatitis B ◽  
Envelope Protein ◽  
Mammalian Cells ◽  
Protein S ◽  
Viral Envelope ◽  
Small Surface ◽  
S Protein ◽  
B Virus

ABSTRACTDuring hepatitis B virus (HBV) infections, subviral particles (SVP) consisting only of viral envelope proteins and lipids are secreted. Heterologous expression of the small envelope protein S in mammalian cells is sufficient for SVP generation. S is synthesized as a transmembrane protein with N-terminal (TM1), central (TM2), and hydrophobic C-terminal (HCR) transmembrane domains. The loops between TM1 and TM2 (the cytosolic loop [CL]) and between TM2 and the HCR (the luminal loop [LL]) are located in the cytosol and the endoplasmic reticulum (ER) lumen, respectively. To define the domains of S mediating oligomerization during SVP morphogenesis, S mutants were characterized by expression in transiently transfected cells. Mutation of 12 out of 15 amino acids of TM1 to alanines, as well as the deletion of HCR, still allowed SVP formation, demonstrating that these two domains are not essential for contacts between S proteins. Furthermore, the oligomerization of S was measured with a fluorescence-activated cell sorter (FACS)-based Förster resonance energy transfer (FRET) assay. This approach demonstrated that the CL, TM2, and the LL independently contributed to S oligomerization, while TM1 and the HCR played minor roles. Apparently, intermolecular homo-oligomerization of the CL, TM2, and the LL drives S protein aggregation. Detailed analyses revealed that the point mutation C65S in the CL, the mutation of 13 out of 19 amino acids of TM2 to alanine residues, and the simultaneous replacement of all 8 cysteine residues in the LL by serine residues blocked the abilities of these domains to support S protein interactions. Altogether, specific domains and residues in the HBV S protein that are required for oligomerization and SVP generation were defined.IMPORTANCEThe small hepatitis B virus envelope protein S has the intrinsic ability to direct the morphogenesis of spherical 20-nm subviral lipoprotein particles. Such particles expressed in yeast or mammalian cells represent the antigenic component of current hepatitis B vaccines. Our knowledge about the steps leading from the initial, monomeric, transmembrane translation product of S to SVP is very limited, as is our information on the structure of the complex main epitope of SVP that induces the formation of protective antibodies after vaccination. This study contributes to our understanding of the oligomerization process of S chains during SVP formation and shows that the cytoplasmic loop, one membrane-embedded domain, and the luminal loop of S independently drive S-S oligomerization.

scholarly journals The Antisense Transcriptomes of Human Cells

Science ◽  
2008 ◽  
Vol 322 (5909) ◽  
pp. 1855-1857 ◽  
Author(s):  
Yiping He ◽  
Bert Vogelstein ◽  
Victor E. Velculescu ◽  
Nickolas Papadopoulos ◽  
Kenneth W. Kinzler
Keyword(s):  
Mammalian Cells ◽  
Cell Types ◽  
Human Cells ◽  
Antisense Transcripts ◽  
Genome Wide ◽  
Human Genes ◽  
A Genome ◽  
Dna Strand ◽  
The Relationship ◽  
Rna Transcript

Transcription in mammalian cells can be assessed at a genome-wide level, but it has been difficult to reliably determine whether individual transcripts are derived from the plus or minus strands of chromosomes. This distinction can be critical for understanding the relationship between known transcripts (sense) and the complementary antisense transcripts that may regulate them. Here, we describe a technique that can be used to (i) identify the DNA strand of origin for any particular RNA transcript, and (ii) quantify the number of sense and antisense transcripts from expressed genes at a global level. We examined five different human cell types and in each case found evidence for antisense transcripts in 2900 to 6400 human genes. The distribution of antisense transcripts was distinct from that of sense transcripts, was nonrandom across the genome, and differed among cell types. Antisense transcripts thus appear to be a pervasive feature of human cells, which suggests that they are a fundamental component of gene regulation.

Polyamine homoeostasis

2009 ◽  
Vol 46 ◽  
pp. 11-24 ◽  
Author(s):  
Lo Persson
Keyword(s):  
Mammalian Cells ◽  
Cell Function ◽  
Protein S ◽  
26S Proteasome ◽  
Adenosylmethionine Decarboxylase ◽  
Specific Effects ◽  
Polyamine Transport ◽  
Polyamine Transporter ◽  
Reading Frames ◽  
Synthesis And Degradation

The polyamines are essential for a variety of functions in the mammalian cell. Although their specific effects have not been fully elucidated, it is clear that the cellular polyamines have to be kept within certain levels for normal cell function. Polyamine homoeostasis in mammalian cells is achieved by a complex network of regulatory mechanisms affecting synthesis and degradation, as well as membrane transport of polyamines. The two key enzymes in the polyamine biosynthetic pathway, ODC (ornithine decarboxylase) and AdoMetDC (S-adenosylmethionine decarboxylase), are strongly regulated by feedback mechanisms at several levels, including transcriptional, translational and post-translational. Some of these mechanisms have been shown to be truly unique and include upstream reading frames and ribosomal frameshifting, as well as ubiquitin-independent proteasomal degradation. SSAT (spermidine/spermine N1-acetyltransferase), which is a crucial enzyme for degradation and efflux of polyamines, is also highly regulated by polyamines. A cellular excess of polyamines rapidly induces SSAT, resulting in increased degradation/efflux of the polyamines. The polyamines appear to induce both transcription and translation of the SSAT mRNA. However, the major part of the polyamine-induced increase in SSAT is caused by a marked stabilization of the enzyme against degradation by the 26S proteasome. In addition, active transport of extracellular polyamines into the cell contributes to cellular polyamine homoeostasis. Depletion of cellular polyamines rapidly induces an increased uptake of exogenous polyamines, whereas an excess of polyamines down-regulates the polyamine transporter(s). However, the protein(s) involved in polyamine transport and the exact mechanisms by which the polyamines regulate the transporter(s) are not yet known.

scholarly journals HMPL: A Pipeline for Identifying Hemimethylation Patterns by Comparing Two Samples

2015 ◽  
Vol 14s2 ◽  
pp. CIN.S17286 ◽  
Author(s):  
Shuying Sun ◽  
Peng Li
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Mammalian Cells ◽  
Single Sample ◽  
Methyl Group ◽  
Genome Wide ◽  
Two Samples ◽  
Clustering Patterns

DNA methylation (the addition of a methyl group to a cytosine) is an important epigenetic event in mammalian cells because it plays a key role in regulating gene expression. Most previous methylation studies assume that DNA methylation occurs on both positive and negative strands. However, a few studies have reported that in some genes, methylation occurs only on one strand (ie, hemimethylation) and has clustering patterns. These studies report that hemimethylation occurs on individual genes. It is unclear whether hemimethylation occurs genome-wide and whether there are hemimethylation differences between cancerous and noncancerous cells. To address these questions, we have developed the first-ever pipeline, named hemimethylation pipeline (HMPL), to identify hemimethylation patterns. Utilizing the available software and the newly developed Perl and R scripts, HMPL can identify hemimethylation patterns for a single sample and can also compare two different samples.

Sign in / Sign up

Export Citation Format

Share Document