Preeti Agarwal^*, Priyaranjan Pal, Pradeep Kumar Mehta

Sound & Vibration, Vol.56, No.2, pp. 105-125, 2022, DOI:10.32604/sv.2022.014874 - 25 March 2022

Abstract The free vibration analysis of simply supported box-girder bridges is carried out using the finite element method. The fundamental frequency is determined in straight, skew, curved and skew-curved box-girder bridges. It is important to analyse the combined effect of skewness and curvature because skew-curved box-girder bridge behaviour cannot be predicted by simply adding the individual effects of skewness and curvature. At first, an existing model is considered to validate the present approach. A convergence study is carried out to decide the mesh size in the finite element method. An exhaustive parametric study is conducted to… More >

YUKI MATSUSHITA, WANIDA ONO, NORIAKI ONO^*

BIOCELL, Vol.46, No.5, pp. 1157-1162, 2022, DOI:10.32604/biocell.2022.018960 - 06 January 2022

Abstract Single-cell sequencing technologies have rapidly progressed in recent years, and been applied to characterize stem cells in a number of organs. Somatic (postnatal) stem cells are generally identified using combinations of cell surface markers and transcription factors. However, it has been challenging to define micro-heterogeneity within “stem cell” populations, each of which stands at a different level of differentiation. As stem cells become defined at a single-cell level, their differentiation path becomes clearly defined. Here, this viewpoint discusses the potential synergy of single-cell sequencing analyses with in vivo lineage-tracing approaches, with an emphasis on practical considerations More >

JIRUI WEN^1,#, WENCHAO WU^2,#, MIN TANG¹, MINGYUE BAO¹, XUELING HE³, XINGHONG YAO¹, LIANG LI^1,*

BIOCELL, Vol.46, No.3, pp. 655-665, 2022, DOI:10.32604/biocell.2022.016915 - 18 November 2021

Abstract To dissect which subset of bone marrow monocyte is the major precursor of osteoclast, 3-month-old rat bone marrow was obtained for single-cell RNA sequencing. A total of 6091 cells were acquired for detailed analysis, with a median number of 1206 genes detected per cell and 17,959 genes detected in total. A total of 19 cell clusters were recognized, with the main lineages identified as B cells, Granulocytes, Monocytes, T cells, Erythrocytes and Macrophages. Monocytes were further divided into classical monocytes and non-classical monocytes. Compared with non-classical monocytes, classical monocytes highly expressed osteoclast differentiation related genes… More >

SEAN J. O’SULLIVAN^1,2,*

BIOCELL, Vol.46, No.1, pp. 7-11, 2022, DOI:10.32604/biocell.2022.017680 - 28 September 2021

Abstract The development of effective treatments for psychiatric disease has been disappointing in recent decades given the advancements in neuroscience. Moreover, rising rates of mental illness such as addiction and depression compel scientists and physicians to discover novel and creative solutions. One such approach that has proven effective is systems neuroscience: A focus on networks as opposed to mechanism. Further, investigation at the single-cell and circuit level is likely to be fruitful in such endeavors as this resolution describes the functional psychopathology that allows for intervention. More >

JOE R. DELANEY^*

BIOCELL, Vol.45, No.5, pp. 1167-1170, 2021, DOI:10.32604/biocell.2021.017296 - 12 July 2021

Abstract Single-cell sequencing data has transformed the understanding of biological heterogeneity. While many flavors of single-cell sequencing have been developed, single-cell RNA sequencing (scRNA-seq) is currently the most prolific form in published literature. Bioinformatic analysis of differential biology within the population of cells studied relies on inferences and grouping of cells due to the spotty nature of data within individual cell scRNA-seq gene counts. One biologically relevant variable is readily inferred from scRNA-seq gene count tables regardless of individual gene representation within single cells: aneuploidy. Since hundreds of genes are present on chromosome arms, high-quality inferences More >

XIANLIANG HOU^1,2,3,#, DONGE TANG^1,#, FENGPING ZHENG^1,#, MINGLIN OU³, YONG XU¹, HUIXUAN XU¹, XIAOPING HONG⁴, XINZHOU ZHANG¹, WEIER DAI⁵, DONGZHOU LIU^4,*, YONG DAI^1,*

BIOCELL, Vol.44, No.4, pp. 559-582, 2020, DOI:10.32604/biocell.2020.011022 - 24 December 2020

Abstract Systemic lupus erythematosus (SLE) is a systemic autoimmune disease characterized by abnormal cellular and humoral immune responses and excessive autoantibody production. The precise pathologic mechanism of SLE remains elusive. The advent of single-cell RNA sequencing (scRNA-seq) enables unbiased analysis of the molecular differences of cell populations at the single-cell level. We used scRNA-seq to profile the transcriptomes of peripheral blood mononuclear cells from an SLE patient compared with a healthy control (HC). A total of 16,021 cells were analyzed and partitioned into 12 distinct clusters. The marker genes of each cluster and the four major… More >

Longwei Liu¹, Praopim Limsakul¹, Shaoying (Kathy) Lu¹, Peter Yingxiao Wang^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 82-82, 2019, DOI:10.32604/mcb.2019.07360

Abstract Genetically-encoded biosensors based on Fluorescence Resonance Energy Transfer (FRET biosensors) have been widely used to dynamically track the activity of Protein Tyrosine Kinases (PTKs) in living cells because of their sensitive ratiometric fluorescence readout, high spatiotemporal resolution. However, the limitation in sensitivity, specificity, and dynamic range of these biosensors have hindered their broader applications, and there was a lack of efficient ways to optimize FRET biosensors. Here we established a rapid, systematic and universal approach for FRET biosensor optimization through directed evolution which involves generating genetic diversity and screening for protein variants with desired properties… More >