The BIM-GFP expression plasmid was constructed by cloning the human BIMEL cDNA (BCL2L11-001, ENST00000393256) into a pMCEF vector and moving the BamHI and AgeI restriction fragment into the pEGFP-N1 vector. The plasmid was transfected into SD1 cells using 4D-Nucleofector system (Lonza) and GFP+ cells were sorted by flow cytometry after 48 h.
4d nucleofector system
The 4D-Nucleofector system is a transfection device used for the delivery of nucleic acids, such as DNA and RNA, into a variety of cell types. It utilizes a specialized electroporation technology to facilitate the efficient introduction of these molecules into the target cells.
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284 protocols using 4d nucleofector system
Manipulation of BCL Family Proteins
The BIM-GFP expression plasmid was constructed by cloning the human BIMEL cDNA (BCL2L11-001, ENST00000393256) into a pMCEF vector and moving the BamHI and AgeI restriction fragment into the pEGFP-N1 vector. The plasmid was transfected into SD1 cells using 4D-Nucleofector system (Lonza) and GFP+ cells were sorted by flow cytometry after 48 h.
Optimized Electroporation and AAV Transduction
After electroporation, cells were transduced in suspension for 1 h with the AAV vectors at an MOI of 30,000 in a final volume of 50 μL of Opti-MEM medium (Thermo Fisher Scientific). Cells were then plated onto feeder layer-containing plates. For MSCs and CD34+ cells, 3.2 μg of sgRNA and 6 μg of Cas9 were used. The Amaxa electroporation codes were CM119 and DZ100 for MSCs and CD34+ cells, respectively. For viral transduction, MSCs were incubated with the AAV6 vectors for 15 min in suspension and then plated in culture medium. For CD34+ cell transduction, AAV6 was added directly to the well.
Overexpression of Topoisomerase IIβ in hMSCs
Generation and Characterization of PAX5 Variants
IKAROS knockdown in naive CD4+ T cells
EBV-Positive and Negative B-Cell Line Maintenance
THP-1 Cell Electrotransfection with FXR Plasmid
Electroporation of P. knowlesi Schizonts
Nucleofection of Human PBMCs
Investigating YY1 Transcriptional Regulation in Naive CD4+ T Cells
RNA-sequencing (RNA-seq) reads were aligned to hg19 using STAR 2.5.3a aligner62 , followed by generation of transcript-level counts using featureCounts63 (link) package. Normalization and identification of differentially enriched genes was performed using edgeR64 (link),65 (link) and limma packages from R Bioconductor and modeled to identify differences in paired samples in control and YY1-knockdown groups.
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