Biology subjects

Chenchik, A.

Publications and source records attributed to Chenchik, A..

3 recordsLinked to original sources

bioRxiv2026

cloneXplorer: A high-throughput clone discovery platform based on conical microwell arrays

Antigen-specific T cell populations are of great value for studying immune recognition but tedious to generate by limiting dilution or cloning. Here, we develop a streamlined approach to generate antigen-specific T cell clones directly from peripheral blood using the cloneXplorer, a live-cell analysis and clone isolation platform based on conical microwell arrays. This platform continuously monitors cell proliferation, cytokine secretion, and surface markers in up to 100,000 single cell co-cultures, enabling the identification of rare, functionally defined T cells, which can be recovered for clonal expansion or sequence analysis. We benchmark the platform by performing several key demonstrations. First, we show that this platform can efficiently generate monoclonal cell populations from cell lines and human T cells. Next, we demonstrate that antigen-specificity can be identified at single cell resolution using a co-culture of Jurkat cells expressing NFAT-GFP, CD8, and a T cell receptor and K562 antigen presenting cells (APC) expressing a peptide library. Thereafter, we show that immune activation in mouse and human primary samples can be monitored by time lapse analysis of Interferon gamma (IFN-{gamma}) secretion in individual microwell co-cultures using a fluorescent sandwich assay. Finally, we combine these capabilities in a proof-of-concept demonstration, which uses IFN-{gamma} secretion and the presence of CD8 surface markers as hierarchical gates to isolate and expand antigen-specific T cells from human peripheral blood, and we verify their specificity by tetramer staining. Together, these results showcase potential applications of the cloneXplorer platform in cell line development, and in screening and validating immune receptor interactions with specific antigens. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/699323v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@1aafc29org.highwire.dtl.DTLVardef@91272dorg.highwire.dtl.DTLVardef@1a306eeorg.highwire.dtl.DTLVardef@1bfd54_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2025

Molecule template estimation using Validator Barcodes in multiplex PCR for adaptive immune repertoire profiling

TCR- and BCR-sequencing (TCR/BCR-seq) are two important technologies in studying the immune repertoire of samples such as PBMCs or tumors. In their most common form, these assays combine multiplex PCR of the repertoire using primers targeting regions of the V(D)J and the constant region with next-generation sequencing (NGS). The data produced by this assay provide a slew of information regarding immune repertoire(s) including the presence critical clonotypes, repertoire diversity, variable (V) gene usage, analysis of public clonotypes, etc. One issue that can arise during generation of the TCR/BCR-seq data is sequence bias during the PCR or NGS steps. To combat this, unique molecular identifiers (UMIs) have been used to identify and eliminate sequence bias. However, UMI fragments can be long and very diverse, resulting in the UMI sequences interfering with any of the multitude of primers during multiplex PCR. Here, we introduce Validator Barcodes (VBCs), a set of eight short barcodes (6-9 nucleotides in length). This compact set of barcodes improves PCR efficiency and facilitates PCR primer designs. Also, like UMIs, the VBCs may be used to estimate the number of template molecules (RNA or DNA). Using VBC-labeled primers for TCR and BCR repertoire profiling from PBMCs produces highly comparable results and similarly template values to those obtained through UMI-based assay counts. Overall, VBCs are a useful and simpler alternative to UMIs in assaying TCR and BCR repertoires.

immunology↗

bioRxiv2022

Oncogenic context shapes the fitness landscape of tumor suppression

Tumors acquire alterations in oncogenes and tumor suppressor genes in an adaptive walk through the fitness landscape of tumorigenesis. However, the features of this landscape remain poorly understood and cannot be revealed by human cancer genotyping alone. Here, we use a multiplexed, autochthonous mouse platform to model and quantify the initiation and growth of more than one hundred genotypes of lung tumors across four oncogenic contexts: KRAS G12D, KRAS G12C, BRAF V600E, and EGFR L858R. The resulting fitness landscape is rugged (the effect of tumor suppressor inactivation often switches between beneficial and deleterious depending on the oncogenic context), shows no evidence of diminishing-returns epistasis within variants of the same oncogene, and is inconsistent with expectations of a simple linear signaling relationship among these three oncogenes. Our findings suggest that tumor suppressor effects are strongly context-specific, which limits the set of evolutionary paths that can be taken through the fitness landscape.

cancer biology↗