scholarly journals Cell type specific gene delivery by lentiviral vectors

2013 ◽  
Vol 2 (1) ◽  
pp. e22566 ◽  
Author(s):  
Qi Zhou ◽  
Christian J. Buchholz
Keyword(s):  
Gene Delivery ◽  
Lentiviral Vectors ◽  
Specific Gene ◽  
Cell Type ◽  
Cell Type Specific

Targeted delivery of Chil3/Chil4 siRNA to alveolar macrophages using ternary complexes composed of HMG and oligoarginine micelles

Nanoscale ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 933-943 ◽  
Author(s):  
Moonhwan Choi ◽  
Haeyoon Jeong ◽  
Sol Kim ◽  
Minkyung Kim ◽  
Minhyung Lee ◽  
...  
Keyword(s):  
Gene Delivery ◽  
Delivery System ◽  
Alveolar Macrophages ◽  
Targeted Delivery ◽  
Ternary Complexes ◽  
Specific Gene ◽  
Gene Delivery System ◽  
Cell Type ◽  
A Cell ◽  
Cell Type Specific

Cell-type-specific genes involved in disease can be effective therapeutic targets; therefore, the development of a cell-type-specific gene delivery system is essential.

Surface-Engineered Viral Vectors for Selective and Cell Type-Specific Gene Delivery

2015 ◽  
Vol 33 (12) ◽  
pp. 777-790 ◽  
Author(s):  
Christian J. Buchholz ◽  
Thorsten Friedel ◽  
Hildegard Büning
Keyword(s):  
Gene Delivery ◽  
Viral Vectors ◽  
Specific Gene ◽  
Cell Type ◽  
Cell Type Specific

scholarly journals Cell-Type-Specific Gene Transfer into Human Cells with Retroviral Vectors That Display Single-Chain Antibodies

1998 ◽  
Vol 72 (12) ◽  
pp. 10148-10156 ◽  
Author(s):  
An Jiang ◽  
Te-Hua T. Chu ◽  
F. Nocken ◽  
Klaus Cichutek ◽  
Ralph Dornburg
Keyword(s):  
Gene Delivery ◽  
Cell Surface ◽  
Retroviral Vectors ◽  
Human Cells ◽  
Specific Gene ◽  
Cell Type ◽  
Single Chain ◽  
Single Chain Antibodies ◽  
Cell Type Specific ◽  
Vector Particles

ABSTRACT The successful application of human gene therapy protocols on a broad clinical basis will depend on the availability of in vivo cell-type-specific gene delivery systems. We have developed retroviral vector particles, derived from spleen necrosis virus (SNV), that display the antigen binding site of an antibody on the viral surface. Using retroviral vectors derived from SNV that displayed single-chain antibodies (scAs) directed against a carcinoembryonic antigen-cross-reacting cell surface protein, we have shown that an efficient, cell-type-specific gene delivery can be obtained. In this study, we tested whether other scAs displayed on SNV vector particles can also lead to cell-type-specific gene delivery. We displayed the following scAs on the retroviral surface: one directed against the human cell surface antigen Her2neu, which belongs to the epidermal growth factor receptor family; one directed against the stem cell-specific antigen CD34; and one directed against the transferrin receptor, which is expressed on liver cells and various other tissues. We show that retroviral vectors displaying these scAs are competent for infection in human cells which express the antigen recognized by the scA. Infectivity was cell type specific, and titers above 105 CFU per ml of tissue culture supernatant medium were obtained. The density of the antigen on the target cell surface does not influence virus titers in vitro. Our data indicate that the SNV vector system is well suited for the development of a large variety of cell-type-specific targeting vectors.

scholarly journals Cell-type-specific gene delivery into neuronal cells in vitro and in vivo

Virology ◽  
2003 ◽  
Vol 314 (1) ◽  
pp. 74-83 ◽  
Author(s):  
Zahida Parveen ◽  
Muhammad Mukhtar ◽  
Mohammed Rafi ◽  
David A Wenger ◽  
Khwaja M Siddiqui ◽  
...  
Keyword(s):  
Gene Delivery ◽  
Neuronal Cells ◽  
Specific Gene ◽  
Cell Type ◽  
Cell Type Specific

scholarly journals An integrated analysis of cell-type specific gene expression reveals genes regulated by REVOLUTA and KANADI1 in the Arabidopsis shoot apical meristem

PLoS Genetics ◽  
2020 ◽  
Vol 16 (4) ◽  
pp. e1008661 ◽  
Author(s):  
Hasthi Ram ◽  
Sudeep Sahadevan ◽  
Nittaya Gale ◽  
Monica Pia Caggiano ◽  
Xiulian Yu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Shoot Apical Meristem ◽  
Apical Meristem ◽  
Integrated Analysis ◽  
Specific Gene ◽  
Cell Type ◽  
Specific Gene Expression ◽  
Cell Type Specific

scholarly journals Comprehensive analysis of single cell ATAC-seq data with SnapATAC

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Rongxin Fang ◽  
Sebastian Preissl ◽  
Yang Li ◽  
Xiaomeng Hou ◽  
Jacinta Lucero ◽  
...  
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Expression Patterns ◽  
Regulatory Elements ◽  
Cellular Heterogeneity ◽  
Specific Gene ◽  
Open Chromatin ◽  
Cell Type ◽  
Process Data ◽  
Cell Type Specific

AbstractIdentification of the cis-regulatory elements controlling cell-type specific gene expression patterns is essential for understanding the origin of cellular diversity. Conventional assays to map regulatory elements via open chromatin analysis of primary tissues is hindered by sample heterogeneity. Single cell analysis of accessible chromatin (scATAC-seq) can overcome this limitation. However, the high-level noise of each single cell profile and the large volume of data pose unique computational challenges. Here, we introduce SnapATAC, a software package for analyzing scATAC-seq datasets. SnapATAC dissects cellular heterogeneity in an unbiased manner and map the trajectories of cellular states. Using the Nyström method, SnapATAC can process data from up to a million cells. Furthermore, SnapATAC incorporates existing tools into a comprehensive package for analyzing single cell ATAC-seq dataset. As demonstration of its utility, SnapATAC is applied to 55,592 single-nucleus ATAC-seq profiles from the mouse secondary motor cortex. The analysis reveals ~370,000 candidate regulatory elements in 31 distinct cell populations in this brain region and inferred candidate cell-type specific transcriptional regulators.

scholarly journals An analytical method for the identification of cell type-specific disease gene modules

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jinting Guan ◽  
Yiping Lin ◽  
Yang Wang ◽  
Junchao Gao ◽  
Guoli Ji
Keyword(s):  
Disease Gene ◽  
Gene Interaction ◽  
Cell Types ◽  
Autism Spectrum ◽  
Specific Gene ◽  
Cell Type ◽  
Specific Disease ◽  
Cell Type Specific ◽  
Gene Modules ◽  
Disease Associated Genes

Abstract Background Genome-wide association studies have identified genetic variants associated with the risk of brain-related diseases, such as neurological and psychiatric disorders, while the causal variants and the specific vulnerable cell types are often needed to be studied. Many disease-associated genes are expressed in multiple cell types of human brains, while the pathologic variants affect primarily specific cell types. We hypothesize a model in which what determines the manifestation of a disease in a cell type is the presence of disease module comprised of disease-associated genes, instead of individual genes. Therefore, it is essential to identify the presence/absence of disease gene modules in cells. Methods To characterize the cell type-specificity of brain-related diseases, we construct human brain cell type-specific gene interaction networks integrating human brain nucleus gene expression data with a referenced tissue-specific gene interaction network. Then from the cell type-specific gene interaction networks, we identify significant cell type-specific disease gene modules by performing statistical tests. Results Between neurons and glia cells, the constructed cell type-specific gene networks and their gene functions are distinct. Then we identify cell type-specific disease gene modules associated with autism spectrum disorder and find that different gene modules are formed and distinct gene functions may be dysregulated in different cells. We also study the similarity and dissimilarity in cell type-specific disease gene modules among autism spectrum disorder, schizophrenia and bipolar disorder. The functions of neurons-specific disease gene modules are associated with synapse for all three diseases, while those in glia cells are different. To facilitate the use of our method, we develop an R package, CtsDGM, for the identification of cell type-specific disease gene modules. Conclusions The results support our hypothesis that a disease manifests itself in a cell type through forming a statistically significant disease gene module. The identification of cell type-specific disease gene modules can promote the development of more targeted biomarkers and treatments for the disease. Our method can be applied for depicting the cell type heterogeneity of a given disease, and also for studying the similarity and dissimilarity between different disorders, providing new insights into the molecular mechanisms underlying the pathogenesis and progression of diseases.

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