Metabolic profiling of recombinant Escherichia coli cultivations based on high‐throughput FT‐MIR spectroscopic analysis

Escherichia coli is one of the most used host microorganism for the production of recombinant products, such as heterologous proteins and plasmids. However, genetic, physiological and environmental factors influence the plasmid replication and cloned gene expression in a highly complex way. To control and optimize the recombinant expression system performance, it is very important to understand this complexity. Therefore, the development of rapid, highly sensitive and economic analytical methodologies, which enable the simultaneous characterization of the heterologous product synthesis and physiologic cell behavior under a variety of culture conditions, is highly desirable. For that, the metabolic profile of recombinant E. coli cultures producing the pVAX‐lacZ plasmid model was analyzed by rapid, economic and high‐throughput Fourier Transform Mid‐Infrared (FT‐MIR) spectroscopy. The main goal of the present work is to show as the simultaneous multivariate data analysis by principal component analysis (PCA) and direct spectral analysis could represent a very interesting tool to monitor E. coli culture processes and acquire relevant information according to current quality regulatory guidelines. While PCA allowed capturing the energetic metabolic state of the cell, e.g. by identifying different C‐sources consumption phases, direct FT‐MIR spectral analysis allowed obtaining valuable biochemical and metabolic information along the cell culture, e.g. lipids, RNA, protein synthesis and turnover metabolism. The information achieved by spectral multivariate data and direct spectral analyses complement each other and may contribute to understand the complex interrelationships between the recombinant cell metabolism and the bioprocess environment towards more economic and robust processes design according to Quality by Design framework. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 33:285–298, 2017     

Aldosterone up‐regulates 12‐ and 15‐lipoxygenase expression and LDL oxidation in human vascular smooth muscle cells

Several lines of evidence suggest that aldosterone excess may have detrimental effects in the cardiovascular system, independent of its interaction with the renal epithelial cells. Here we examined the possibility that aldosterone modulates 12‐ and/or 15‐lipoxygenase (LO) expression/activity in human vascular smooth muscle cells (VSMC), in vitro, thereby potentially contributing to both vascular reactivity and atherogenesis. Following 24 h treatment of VSMC with aldosterone (1 nmol/L), there was a ～2‐fold increase in the generation rate of 12 hydroxyeicosatetraenoic acid (12‐HETE), 70% increase in platelet type 12‐LO mRNA expression (P < 0.001) along with a ～3‐fold increase in 12‐LO protein expression, which were blocked by the mineralocorticoid receptor (MR) antagonists spironolactone (100 nmol/L) and eplerelone (100 nmol/ml). Additionally, aldosterone (1 nmol/L; 24 h) increased the production of 15‐HETE (50%; P < 0.001) and the expression of 15‐LO type 2 mRNA (50%; P < 0.05) (in VSMC). Aldosterone also increased the 12‐ and 15‐LO type 2 mRNA expression in a line of human aortic smooth muscle cells (T/G HA‐VSMC) (60% and 50%, respectively). Aldosterone‐induced 12‐ and 15‐LO type 2 mRNA expressions were blocked by the EGF‐receptor antagonist AG 1478 and by the MAPK‐kinase inhibitor UO126. Aldosterone‐treated VSMC also showed increased LDL oxidation, (～2‐fold; P < 0.001), which was blocked by spironolactone. In conclusion, aldosterone increased 12‐ and 15‐LO expression in human VSMC, in association with increased 12‐ and 15‐HETE generation and enhanced LDL oxidation and may directly augment VSMC contractility, hypertrophy, and migration through 12‐HETE and promote LDL oxidation via the pro‐oxidative properties of these enzymes. J. Cell. Biochem. 108: 1203–1210, 2009. © 2009 Wiley‐Liss, Inc.     

Large‐scale image‐based profiling of single‐cell phenotypes in arrayed CRISPR‐Cas9 gene perturbation screens

High‐content imaging using automated microscopy and computer vision allows multivariate profiling of single‐cell phenotypes. Here, we present methods for the application of the CISPR‐Cas9 system in large‐scale, image‐based, gene perturbation experiments. We show that CRISPR‐Cas9‐mediated gene perturbation can be achieved in human tissue culture cells in a timeframe that is compatible with image‐based phenotyping. We developed a pipeline to construct a large‐scale arrayed library of 2,281 sequence‐verified CRISPR‐Cas9 targeting plasmids and profiled this library for genes affecting cellular morphology and the subcellular localization of components of the nuclear pore complex (NPC). We conceived a machine‐learning method that harnesses genetic heterogeneity to score gene perturbations and identify phenotypically perturbed cells for in‐depth characterization of gene perturbation effects. This approach enables genome‐scale image‐based multivariate gene perturbation profiling using CRISPR‐Cas9.     

Cloning,expression profiling,and acetylation identification of alpha‐tubulin N‐acetyltransferase 1 from Bombyx mori

Alpha‐tubulin N‐acetyltransferase 1 (ATAT1) is an acetyltransferase specific to α‐tubulin and performs important functions in many cellular processes. Bombyx mori is an economic insect and also known as a model lepidoptera insect. In this study, we cloned a B. mori ATAT1 gene (BmATAT1) (Gen Bank accession number: XP_004932777.1). BmATAT1 contained an open reading frame (ORF) of 1,065 bp encoding 355 amino acids (aa). Expression profiling of BmATAT1 protein showed that the expression levels of BmATAT1 at different developmental stages and different tissues in fifth‐instar larvae differ. BmATAT1 was highly expressed at the egg stage and in the head of the fifth‐instar larvae. Subcellular localization showed that BmATAT1 was distributed in the cytoplasm and nucleus. Furthermore, BmATAT1 may lead to time‐dependent induction of cell cycle arrest in the G2/M phase by flow cytometry analysis. Interestingly, using site‐specific mutation, immunoprecipitation, and Western blotting, we further found a BmATAT1 acetylated site at K156, suggesting that this acetyltransferase could be regulated by acetylation itself.     

A high‐throughput BAC end analysis protocol (BAC‐anchor) for profiling genome assembly and physical mapping

Traditional approaches for sequencing insertion ends of bacterial artificial chromosome (BAC) libraries are laborious and expensive, which are currently some of the bottlenecks limiting a better understanding of the genomic features of auto‐ or allopolyploid species. Here, we developed a highly efficient and low‐cost BAC end analysis protocol, named BAC‐anchor, to identify paired‐end reads containing large internal gaps. Our approach mainly focused on the identification of high‐throughput sequencing reads carrying restriction enzyme cutting sites and searching for large internal gaps based on the mapping locations of both ends of the reads. We sequenced and analysed eight libraries containing over 3 200 000 BAC end clones derived from the BAC library of the tetraploid potato cultivar C88 digested with two restriction enzymes, Cla I and Mlu I. About 25% of the BAC end reads carrying cutting sites generated a 60–100 kb internal gap in the potato DM reference genome, which was consistent with the mapping results of Sanger sequencing of the BAC end clones and indicated large differences between autotetraploid and haploid genotypes in potato. A total of 5341 Cla I‐ and 165 Mlu I‐derived unique reads were distributed on different chromosomes of the DM reference genome and could be used to establish a physical map of target regions and assemble the C88 genome. The reads that matched different chromosomes are especially significant for the further assembly of complex polyploid genomes. Our study provides an example of analysing high‐coverage BAC end libraries with low sequencing cost and is a resource for further genome sequencing studies.     

Systematic profiling of ACE2 expression in diverse physiological and pathological conditions for COVID‐19/SARS‐CoV‐2

Recent retrospective studies of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) disease (COVID‐19) revealed that the patients with common comorbidities of cancers and chronic diseases face significantly poorer clinical outcomes than those without. Since the expression profile of ACE2, a crucial cell entry receptor for SARS‐CoV‐2, could indicate the susceptibility to SARS‐CoV‐2 infection, here we systematically dissected ACE2 expression using large‐scale multi‐omics data from 30 organs/tissues, 33 cancer types and some common chronic diseases involving >28 000 samples. It was found that sex and age could be correlated with the susceptibility of SARS‐CoV‐2 infection for certain tissues. Strikingly, ACE2 was up‐regulated in cervical squamous cell carcinoma and endocervical adenocarcinoma, colon adenocarcinoma, oesophageal carcinoma, kidney renal papillary cell carcinoma, lung adenocarcinoma and uterine corpus endometrial carcinoma compared to controls. Furthermore, the patients with common chronic diseases regarding angiocardiopathy, type 2 diabetes, liver, pneumonia and hypertension were also with higher ACE2 expression compared to related controls, which were validated using independent data sets. Collectively, our study may reveal a novel important mechanism that the patients with certain cancers and chronic diseases may express higher ACE2 expression compared to the individuals without diseases, which could lead to their higher susceptibility to multi‐organ injury of SARS‐CoV‐2 infection.     

High‐throughput microarray profiling of cell wall polymers during hydrothermal pre‐treatment of wheat straw

Lignocellulosic plant material is potentially a sustainable source of fermentable sugars for bioethanol production. However, a barrier to this is the high resistance or recalcitrance of plant cell walls to be hydrolyzed. Therefore, a detailed knowledge of the structural features of plant cell walls that contribute to recalcitrance is important for improving the efficiency of bioethanol production. In this work we have used a technique known as Comprehensive Microarray Polymer Profiling (CoMPP) to analyze wheat straw before and after being subjected to hydrothermal pre‐treatments at four different temperatures. The CoMPP technique combines the specificity of monoclonal antibodies with the high‐throughput capacity of microarrays. Changes in the relative abundance of cell wall polysaccharides could be tracked during processing, and a reduction in xylan, arabinoxylans, xyloglucan, and mixed‐linked glucan epitopes was detected at the two highest temperatures of pre‐treatment used. This work demonstrates the potential of CoMPP as a complementally technique to conventional methods for analyzing biomass composition. Biotechnol. Bioeng. 2010; 105: 509–514. © 2009 Wiley Periodicals, Inc.     

Reproducibility in urine peptidome profiling using MALDI‐TOF

MALDI‐TOF profiling of low molecular weight peptides (peptidome) usage is limited due to the lack of reproducibility from the confounding inferences of sample preparation, data acquisition, and processing. We applied MALDI‐TOF analysis to profile urine peptidome with the aims to: (i) compare centrifugal ultrafiltration and dialysis pretreatments, (ii) determine whether using signal LOD (sLOD), together with data normalization, may reduce MALDI‐TOF variability. We also investigated the influence of peaks detection on reproducibility. Dialysis allowed to obtain better MALDI‐TOF spectra than ultrafiltration. Within the 1000–4000 m/z range, we identified 120 and 129 peaks in intra‐ and interassay studies, respectively. To estimate the sLOD, serial dilution of pooled urines up to 1/256 were analyzed in triplicate. Six data normalization strategies were investigated–the mean, median, internal standard, relative intensity, TIC, and linear rescaling normalization. Normalization methods alone performed poorly in reducing features variability while when combined to sLOD adjustment showed an overall reduction in features CVs. Applying a feedback signal processing approach, after median normalization and sLOD adjustment, CVs were reduced from 103 to 26% and 113 to 25% for the intra‐ and interassay, respectively, and spectra became more comparable in terms of data dispersion.     

Genome‐wide characterization and developmental expression profiling of long non‐coding RNAs in Sogatella furcifera

The genome‐wide characterization of long non‐coding RNA (lncRNA) in insects demonstrates their importance in fundamental biological processes. Essentially, an in‐depth understanding of the functional repertoire of lncRNA in insects is pivotal to insect resources utilization and sustainable pest control. Using a custom bioinformatics pipeline, we identified 1861 lncRNAs encoded by 1852 loci in the Sogatella furcifera genome. We profiled lncRNA expression in different developmental stages and observed that the expression of lncRNAs is more highly temporally restricted compared to protein‐coding genes. More up‐regulated Sogatella furcifera lncRNA expressed in the embryo, 4th and 5th instars, suggesting that increased lncRNA levels may play a role in these developmental stages. We compared the relationship between the expression of Sogatella furcifera lncRNA and its nearest protein gene and found that lncRNAs were more correlated to their downstream coding neighbors on the opposite strand. Our genome‐wide profiling of lncRNAs in Sogatella furcifera identifies exciting candidates for characterization of lncRNAs, and also provides information on lncRNA regulation during insect development.     

Multiplex profiling of glycoproteins using a novel bead‐based lectin array

Lectin array is becoming important in profiling targeted glycan/glycoprotein, but weak interaction between lectin and glycan causes low sensitivity of the approach. This study aims to develop a bead‐based lectin array for improving the sensitivity of glycosylation profiling. Lectins are chemically coupled to fluorescent dye coated microbeads, and glycan‐lectin recognition is carried out three dimensionally. The performance of this platform was evaluated, and the LOD of lectin Ricinus communis agglutinin 120 (RCA120) was 50 pg/mL (1 pM) of asialofetuin, providing the bead‐based lectin microarray with the highest sensitivity among the reported lectin microarrays. Furthermore, multiplexed assay was performed, which allowed the simultaneous detection of multiple carbohydrate epitopes in a single reaction vessel. The glycosylation patterns of hepatocellular carcinoma associated immunoglobulin G were analyzed, and increased (α‐1,6) core fucosylation and (α‐2,6) sialylation patterns were observed, which may provide significant clinical evidence for disease diagnosis.