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Inactivation of the tumor suppressor gene encoding the transcriptional regulator Ikaros (IKZF1) is a hallmark of BCR-ABL1+ precursor B cell acute lymphoblastic leukemia (pre-B ALL). However, the mechanisms by which Ikaros functions as a tumor suppressor in pre-B ALL remain poorly understood. Here, we analyzed a mouse model of BCR-ABL1+ pre-B ALL together with a new model of inducible expression of wild-type Ikaros in IKZF1 mutant human BCR-ABL1+ pre-B ALL. We performed integrated genome-wide chromatin and expression analyses and identified Ikaros target genes in mouse and human BCR-ABL1+ pre-B ALL, revealing novel conserved gene pathways associated with Ikaros tumor suppressor function. Notably, genetic depletion of different Ikaros targets, including CTNND1 and the early hematopoietic cell surface marker CD34, resulted in reduced leukemic growth. Our results suggest that Ikaros mediates tumor suppressor function by enforcing proper developmental stage-specific expression of multiple genes through chromatin compaction at its target genes.

Abstract Inactivation of the transcriptional factor Ikaros (IKZF1) correlates with poor prognosis in progenitor B-cell acute lymphoblastic leukemia (pre-B ALL), and is a hallmark of the BCR-ABL1+ subgroup of pre-B ALL. Ikaros is a critical regulator of hematopoietic development and required for B-cell development, however the mechanisms by which Ikaros functions as a tumor suppressor in pre-B ALL remain poorly understood. We analyzed recently developed mouse models of BCR-ABL1+ pre-B ALL containing targeted deletions of Ikaros DNA-binding zinc finger domains together with a new model of inducible expression of WT Ikaros in IKZF1-mutant human BCR-ABL1+ pre-B ALL. We found that both the mouse and human Ikaros-mutated leukemic cells displayed a less mature cell surface phenotype and failed to downregulate the developmentally restricted cell surface receptors c-kit and CD34, respectively. In addition, Ctnnd1, a gene that is also expressed in earlier hematopoietic progenitor cells and normally downregulated as cells differentiate down the B-cell lineage, was found to be a conserved Ikaros target gene, with increased expression in Ikaros-mutated leukemic cells. RNA sequencing defined the Ikaros target genes in both mouse and human Ikaros-mutated pre-B ALL cells and revealed additional conserved target genes and biological functions. Loss of Ikaros tumor suppression was associated with deregulated adhesion pathways and stem-cell signatures. Furthermore, our results presented herein suggest that Ikaros mediates tumor suppressor function, at least in part, by enforcing proper developmental-stage specific expression of multiple genes involved in a network of cadherin-dependent, Rho-regulated Wnt/b-catenin pathways.

The phenotypes of B lineage cells that produce oligoclonal IgG in multiple sclerosis have not been unequivocally determined. Here, we utilized singlecell RNA-seq data of intrathecal B lineage cells in combination with mass spectrometry of intrathecally synthesized IgG to identify its cellular source. We found that the intrathecally produced IgG matched a larger fraction of clonally expanded antibody-secreting cells compared to singletons. The IgG was traced back to two clonally related clusters of antibody-secreting cells, one comprising highly proliferating cells, and the other consisting of more differentiated cells expressing genes associated with immunoglobulin synthesis. These findings suggest some degree of heterogeneity among cells that produce oligoclonal IgG in multiple sclerosis. [ABSTRACT FROM AUTHOR]

Clonally related B cells infiltrate the brain, meninges, and cerebrospinal fluid of MS patients, but the mechanisms driving the B‐cell response and shaping the immunoglobulin repertoires remain unclear. Here, we used single‐cell full‐length RNA‐seq and BCR reconstruction to simultaneously assess the phenotypes, isotypes, constant region polymorphisms, and the paired heavy‐ and light‐chain repertoires in intrathecal B cells. We detected extensive clonal connections between the memory B cell and antibody‐secreting cell (ASC) compartments and observed clonally related cells of different isotypes including IgM/IgG1, IgG1/IgA1, IgG1/IgG2, and IgM/IgA1. There was a strong dominance of the G1m1 allotype constant region polymorphisms in ASCs, but not in memory B cells. Tightly linked to the G1m1 allotype, we found a preferential pairing of the immunoglobulin heavy‐chain variable (IGHV)4 gene family with the κ variable (IGKV)1 gene family. The IGHV4‐39 gene was most used and showed the highest frequency of pairing with IGKV1‐5 and IGKV1(D)‐33. These results link IgG constant region polymorphisms to stereotyped B‐cell responses in MS and indicate that the intrathecal B‐cell response in these patients could be directed against structurally similar epitopes. [ABSTRACT FROM AUTHOR]

By offering high sequencing speed and ultra-high-throughput at a low price, Illumina next-generation sequencing platforms have been widely adopted in recent years. However, an experiment with multiplexed library could be at risk of molecular recombination, known as “index switching”, which causes a proportion of the reads to be assigned to an incorrect sample. It is reported that a new advance, exclusion amplification (ExAmp) in conjunction with the patterned flow cell technology introduced on HiSeq 3000/HiSeq 4000/HiSeq X sequencing systems, potentially suffers from a higher rate of index switching than conventional bridge amplification. We took advantage of the diverse but highly cell-specific expression of antigen receptors on immune cells to quantify index switching on single cell RNA-seq data that were sequenced on HiSeq 3000 and HiSeq 4000. By utilizing the unique antigen receptor expression, we could quantify the spread-of-signal from many different wells (n = 55 from total of three batches) due to index switching. Based on full-length T cell receptor (TCR) sequences from all samples reconstructed by TraCeR and TCR gene expression quantified by Kallisto, we found index switching in all three batches of experiments investigated. The median percentage of incorrectly detected markers was estimated to be 3.9% (interquartile range (IQR): 1.7%-7.3%). We did not detect any consistent patterns of certain indices to be more prone to switching than others, suggesting that index switching is a stochastic process. Our results confirm that index switching is a problem that affects samples run in multiplexed libraries on Illumina HiSeq 3000 and HiSeq 4000 platforms. [ABSTRACT FROM AUTHOR]

Summary Non-lymphoid tissues (NLTs) harbor a pool of adaptive immune cells with largely unexplored phenotype and development. We used single-cell RNA-seq to characterize 35,000 CD4+ regulatory (Treg) and memory (Tmem) T cells in mouse skin and colon, their respective draining lymph nodes (LNs) and spleen. In these tissues, we identified Treg cell subpopulations with distinct degrees of NLT phenotype. Subpopulation pseudotime ordering and gene kinetics were consistent in recruitment to skin and colon, yet the initial NLT-priming in LNs and the final stages of NLT functional adaptation reflected tissue-specific differences. Predicted kinetics were recapitulated using an in vivo melanoma-induction model, validating key regulators and receptors. Finally, we profiled human blood and NLT Treg and Tmem cells, and identified cross-mammalian conserved tissue signatures. In summary, we describe the relationship between Treg cell heterogeneity and recruitment to NLTs through the combined use of computational prediction and in vivo validation. Graphical Abstract Highlights • scRNA-seq reveals Treg cell tissue-specific signatures • The phenotype of Treg cells shows progressive adaptation to barrier tissues • Treg cells share transcriptional dynamics of adaptation to colon and skin • Modules of peripheral Treg cell identity are conserved between mouse and human Treg cells are known to display tissue-specific heterogeneity. Miragaia and colleagues probe Treg cells in lymphoid and barrier tissues by single-cell transcriptomics. They show that Treg cells segregate into subpopulations along a continuum of tissue adaptation and present conserved expression programs between homeostasis and disease and mouse and human. [ABSTRACT FROM AUTHOR]

Single-cell adaptive immune receptor repertoire sequencing (scAIRR-seq) offers the possibility to access the nucleotide sequences of paired receptor chains from T-cell receptors (TCR) or B-cell receptors (BCR ). Here we describe two protocols and the downstream bioinformatic approaches that facilitate the integrated analysis of paired T-cell receptor (TR ) alpha/beta (TRA /TRB ) AIRR-seq, RNA sequencing (RNAseq), immunophenotyping, and antigen-binding information. To illustrate the methodologies with a use case, we describe how to identify, characterize, and track SARS-CoV-2-specific T cells over multiple time points following infection with the virus. The first method allows the analysis of pools of memory CD8 + cells, identifying expansions and contractions of clones of interest. The second method allows the study of rare or antigen-specific cells and allows studying their changes over time., (© 2022. The Author(s).)

Disease-specific plasma cells (PCs) reactive with transglutaminase 2 (TG2) or deamidated gluten peptides (DGPs) are abundant in celiac disease (CeD) gut lesions. Their contribution toward CeD pathogenesis is unclear. We assessed expression of markers associated with PC longevity in 15 untreated and 26 treated CeD patients in addition to 13 non-CeD controls and performed RNA sequencing with clonal inference and transcriptomic analysis of 3,251 single PCs. We observed antigen-dependent V-gene selection and stereotypic antibodies. Generation of recombinant DGP-specific antibodies revealed a key role of a heavy chain residue that displays polymorphism, suggesting that immunoglobulin gene polymorphisms may influence CeD-specific antibody responses. We identified transcriptional differences between CeD-specific and non-disease-specific PCs and between short-lived and long-lived PCs. The short-lived CD19+CD45+ phenotype dominated in untreated and short-term-treated CeD, in particular among disease-specific PCs but also in the general PC population. Thus, the disease lesion of untreated CeD is characterized by massive accumulation of short-lived PCs that are not only directed against disease-specific antigens., Competing Interests: Disclosures: The authors declare no competing interests exist., (© 2020 Lindeman et al.)

In this chapter, we describe TraCeR and BraCeR, our computational tools for reconstruction of paired full-length antigen receptor sequences and clonality inference from single-cell RNA-seq (scRNA-seq) data. In brief, TraCeR reconstructs T-cell receptor (TCR) sequences from scRNA-seq data by extracting sequencing reads derived from TCRs by aligning the reads from each cell against synthetic TCR sequences. TCR-derived reads are then assembled into full-length recombined TCR sequences. BraCeR builds on the TraCeR pipeline and accounts for somatic hypermutations (SHM) and isotype switching. Here we discuss experimental design, use of the tools, and interpretation of the results.

Inactivation of the tumor suppressor gene encoding the transcriptional regulator Ikaros ( IKZF1 ) is a hallmark of BCR-ABL1 + precursor B cell acute lymphoblastic leukemia (pre-B ALL). However, the mechanisms by which Ikaros functions as a tumor suppressor in pre-B ALL remain poorly understood. Here, we analyzed a mouse model of BCR-ABL1 + pre-B ALL together with a new model of inducible expression of wild-type Ikaros in IKZF1 mutant human BCR-ABL1 + pre-B ALL. We performed integrated genome-wide chromatin and expression analyses and identified Ikaros target genes in mouse and human BCR-ABL1 + pre-B ALL, revealing novel conserved gene pathways associated with Ikaros tumor suppressor function. Notably, genetic depletion of different Ikaros targets, including CTNND1 and the early hematopoietic cell surface marker CD34, resulted in reduced leukemic growth. Our results suggest that Ikaros mediates tumor suppressor function by enforcing proper developmental stage-specific expression of multiple genes through chromatin compaction at its target genes., (© 2017 Schjerven et al.)