Current Genomics - Volume 21, Issue 8, 2020

With the development of single-cell mRNA sequencing (scRNA-seq), researchers have attempted to identify new methods for performing in-depth studies of immune cells. However, the discrepancies between the mRNA levels and the levels of surface proteins have confused many researchers. Here, we report a significant and interesting phenomenon in which the mRNA and protein expression levels were mismatched in immune cells. We concluded that scRNA-seq should be combined with other sequencing methods in single-cell studies (e.g., CITE-seq). The simultaneous assessment of both mRNA and protein expression will enhance the precision and credibility of the results.

The complex immune system is involved in multiple pathological processes. Single-cell RNA sequencing (scRNA-seq) is able to analyze complex cell mixtures correct to a single cell and single molecule, thus is qualified to analyze immune reactions in several diseases. In recent years, scRNA-seq has been applied in many researching fields and has presented many innovative results. In this review, we intend to provide an overview of single-cell RNA sequencing applications in immunology and a prospect of future directions.

Variation and heterogeneity between cells are the basic characteristics of stem cells. Traditional sequencing analysis methods often cover up this difference. Single-cell sequencing technology refers to the technology of high-throughput sequencing analysis of genomes at the single-cell level. It can effectively analyze cell heterogeneity and identify a small number of cell populations. With the continuous progress of cell sorting, nucleic acid extraction and other technologies, single-cell sequencing technology has also made great progress. Encouraging new discoveries have been made in stem cell research, including pluripotent stem cells, tissue-specific stem cells and cancer stem cells. In this review, we discuss the latest progress and future prospects of single-cell sequencing technology in the field of stem cells.

Background: The cardiac system is a combination of a complex structure, various cells, and versatile specified functions and sophisticated regulatory mechanisms. Moreover, cardiac diseases that encompass a wide range of endogenous conditions, remain a serious health burden worldwide. Recent genome-wide profiling techniques have taken the lead in uncovering a new realm of cell types and molecular programs driving physiological and pathological processes in various organs and diseases. In particular, the emerging technique single-cell RNA sequencing dominates a breakthrough in decoding the cell heterogeneity, phenotype transition, and developmental dynamics in cardiovascular science. Conclusion: Herein, we review recent advances in single cellular studies of cardiovascular system and summarize new insights provided by single-cell RNA sequencing in heart developmental sciences, stem-cell researches as well as normal or disease-related working mechanisms.

The cell is the unit of life for all organisms, and all cells are certainly not the same. So the technology to generate transcription expression or genomic DNA profiles from single cells is crucial. Since its establishment in 2009, single-cell RNA sequencing (scRNA-seq) has emerged as a major driver of progress in biomedical research. During the last three years, several new single-cell sequencing platforms have emerged. Yet there are only a few systematic comparisons of the advantages and limitations of these commonly used platforms. Here we compare two single-cell sequencing platforms: BD Rhapsody and 10x Genomics Chromium, including their different mechanisms and some scRNA-seq results obtained with them.

Introduction: The microalga Parachlorella kessleri-I produces high biomass and lipid content that could be suitable for producing economically viable biofuel at a commercial scale. Sequencing the complete chloroplast genome is crucial for the construction of a species-specific chloroplast transformation vector. Methods: In this study, the complete chloroplast genome sequence (cpDNA) of P. kessleri-I was assembled; annotated and genetic transformation of the chloroplast was optimized. For the chloroplast transformation, we have tested two antibiotic resistance makers, aminoglycoside adenine transferase (aadA) gene and Sh-ble gene conferring resistance to spectinomycin and zeocin, respectively. Transgene integration and homoplasty determination were confirmed using PCR, Southern blot and Droplet Digital PCR. Results: The chloroplast genome (109,642 bp) exhibited a quadripartite structure with two reverse repeat regions (IRA and IRB), a long single copy (LSC), and a small single copy (SSC) region. The genome encodes 116 genes, with 80 protein-coding genes, 32 tRNAs and 4 rRNAs. The cpDNA provided essential information like codons, UTRs and flank sequences for homologous recombination to make a species-specific vector that facilitated the transformation of P. kessleri-I chloroplast. The transgenic algal colonies were retrieved on a TAP medium containing 400 mg. L-1 spectinomycin, but no transgenic was recovered on the zeocin-supplemented medium. PCR and Southern blot analysis ascertained the transgene integration into the chloroplast genome, via homologous recombination. The chloroplast genome copy number in wildtype and transgenic P. kessleri-I was determined using Droplet Digital PCR. Conclusion: The optimization of stable chloroplast transformation in marine alga P. kessleri-I should open a gateway for directly engineering the strain for carbon concentration mechanisms to fix more CO2, improving the photosynthetic efficiency and reducing the overall biofuels production cost.

Background: The basic helix-loop-helix (bHLH) transcription factor is one of the most important gene families in plants, playing a key role in diverse metabolic, physiological, and developmental processes. Although it has been well characterized in many plants, the significance of the bHLH family in barley is not well understood at present. Methods: Through a genome-wide search against the updated barley reference genome, the genomic organization, evolution and expression of the bHLH family in barley were systematically analyzed. Results: We identified 141 bHLHs in the barley genome (HvbHLHs) and further classified them into 24 subfamilies based on phylogenetic analysis. It was found that HvbHLHs in the same subfamily shared a similar conserved motif composition and exon-intron structures. Chromosome distribution and gene duplication analysis revealed that segmental duplication mainly contributed to the expansion of HvbHLHs and the duplicated genes were subjected to strong purifying selection. Furthermore, expression analysis revealed that HvbHLHs were widely expressed in different tissues and also involved in response to diverse abiotic stresses. The co-expression network was further analyzed to underpin the regulatory function of HvbHLHs. Finally, 25 genes were selected for qRT-PCR validation, the expression profiles of HvbHLHs showed diverse patterns, demonstrating their potential roles in relation to stress tolerance regulation. Conclusion: This study reported the genome organization, evolutionary characteristics and expression profile of the bHLH family in barley, which not only provide the targets for further functional analysis, but also facilitate better understanding of the regulatory network bHLH genes involved in stress tolerance in barley.