Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes.

Cellular deconvolution algorithms virtually reconstruct tissue composition by analyzing the gene expression of complex tissues. We present the decision tree machine learning algorithm, Kassandra, trained on a broad collection of >9,400 tissue and blood sorted cell RNA profiles incorporated into millions of artificial transcriptomes to accurately reconstruct the tumor microenvironment (TME). Bioinformatics correction for technical and biological variability, aberrant cancer cell expression inclusion, and accurate quantification and normalization of transcript expression increased Kassandra stability and robustness.

Distinct Requirements for HIV-1 Accessory Proteins during Cell Coculture and Cell-Free Infection.

The role of accessory proteins during cell-to-cell transmission of HIV-1 has not been explicitly defined. In part, this is related to difficulties in measuring virus replication in cell cocultures with high accuracy, as cells coexist at different stages of infection and separation of effector cells from target cells is complicated. In this study, we used replication-dependent reporter vectors to determine requirements for Vif, Vpu, Vpr, or Nef during one cycle of HIV-1 cell coculture and cell-free infection in lymphoid and nonlymphoid cells.

Isolation of gene-edited cells via knock-in of short glycophosphatidylinositol-anchored epitope tags.

We describe Surface Oligopeptide knock-in for Rapid Target Selection (SORTS), a novel method to select mammalian cells with precise genome modifications that does not rely on cell cloning. SORTS is designed to disrupt the target gene with an expression cassette encoding an epitope tag embedded into human glycophosphatidylinositol (GPI)-anchored protein CD52. The cassette is very short, usually less than 250 nucleotides, which simplifies donor DNA construction and facilitates transgene integration into the target locus.

Gene Editing in Human Lymphoid Cells: Role for Donor DNA, Type of Genomic Nuclease and Cell Selection Method.

Programmable endonucleases introduce DNA breaks at specific sites, which are repaired by non-homologous end joining (NHEJ) or homology recombination (HDR). Genome editing in human lymphoid cells is challenging as these difficult-to-transfect cells may also inefficiently repair DNA by HDR. Here, we estimated efficiencies and dynamics of knockout (KO) and knockin (KI) generation in human T and B cell lines depending on repair template, target loci and types of genomic endonucleases.

Determining antigen specificity of a monoclonal antibody using genome-scale CRISPR-Cas9 knockout library.

An essential step in monoclonal antibody (mAb) development is the characterization and final identification of the specific target antigen and its epitope. Antibody validation is rather straightforward when immunization is carried out with peptide or purified protein, but is more difficult when whole cells or other complex antigens are used for the immunization. Determining antigen specificity of a mAb is further complicated, when reactivity of an antibody is not detected in Western blotting and/or immunoprecipitation assay.