scholarly journals SCIGA: Software for large-scale, single-cell immunoglobulin repertoire analysis

GigaScience ◽  
2021 ◽  
Vol 10 (9) ◽  
Author(s):  
Haocheng Ye ◽  
Lin Cheng ◽  
Bin Ju ◽  
Gang Xu ◽  
Yang Liu ◽  
...  

Abstract Background B-cell immunoglobulin repertoires with paired heavy and light chain can be determined by means of 10X single-cell V(D)J sequencing. Precise and quick analysis of 10X single-cell immunoglobulin repertoires remains a challenge owing to the high diversity of immunoglobulin repertoires and a lack of specialized software that can analyze such diverse data. Findings In this study, specialized software for 10X single-cell immunoglobulin repertoire analysis was developed. SCIGA (Single-Cell Immunoglobulin Repertoire Analysis) is an easy-to-use pipeline that performs read trimming, immunoglobulin sequence assembly and annotation, heavy and light chain pairing, statistical analysis, visualization, and multiple sample integration analysis, which is all achieved by using a 1-line command. Then SCIGA was used to profile the single-cell immunoglobulin repertoires of 9 patients with coronavirus disease 2019 (COVID-19). Four neutralizing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were identified from these repertoires. Conclusions SCIGA provides a complete and quick analysis for 10X single-cell V(D)J sequencing datasets. It can help researchers to interpret B-cell immunoglobulin repertoires with paired heavy and light chain.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1881-1881
Author(s):  
Geoffrey Lowman ◽  
Landon Pastushok ◽  
Karen Mochoruk ◽  
Wayne Hill ◽  
Michelle Toro ◽  
...  

Abstract Introduction B cell repertoire analysis by next-generation sequencing (NGS) is at the forefront of leukemia and lymphoma research. Some advantages provided by NGS-based techniques include a lower limit-of-detection and simpler paths to standardization compared to other methods. Importantly, in research of post-germinal B cell disorders, such as multiple myeloma (MM), NGS methods allow for the study of clonal lineage based on somatic hypermuation patterns. Current targeted NGS assays require multiple libraries to survey each B cell receptor chain (IGH, IgK, IgL), and this fact is highlighted when initial clonality detection fails due to mutations under primer binding sites. This issue can be especially true in MM which has a high rate of SHM. To address these issues, we have developed an assay for B cell analysis, based on Ion AmpliSeq™ technology, which enables efficient detection of IGH, IgK, and IgL chain rearrangements in a single reaction. Methods The B cell pan-clonality panel (Oncomine™ BCR Pan-Clonality Assay) targets the framework 3 (FR3) portion of the variable gene and the joining gene region of heavy- and light-chain loci (IGH, IgK, IgL) for all alleles found within the IMGT database, enabling readout of the complementary-determining region 3 (CDR3) sequence of each immunoglobulin chain. To maximize sensitivity, we included primers to amplify IgK loci rearrangements involving Kappa deletion element and the constant region intron. To evaluate assay performance, we conducted reproducibility studies and clonality assessment using gDNA from a total of 45 MM research samples. All MM cases examined in this work were confirmed clonal previously by light chain restriction via flow cytometry or IHC/ISH in tissue sections - 16 of the 45 MM samples were identified as lambda light chain restricted. For comparison, a small cohort of 12 B-ALL samples were also included in the study. Sequencing and repertoire analyses were performed using the Ion GeneStudio S5 System and Ion Reporter 5.16 analysis software. Results Clonality assessment of MM clinical research samples show an 93% overall positive detection rate by an assay which combines the IGH, IgK, and IgL chains in a single reaction using published guidelines for clonality assignment. Thirty-four of 45 samples show positive detection of an IGH rearrangement, while 41 of 45 showed positive detection of at least one light chain receptor. In total, 42 of 45 samples were deemed clonal by the single tube assay based on detection for one or more receptor. Clonality results for this sample set are well correlated with orthogonal data from flow, IHC/ISH, or alternate NGS assays. A clonal lambda light chain was identified in 14 of 16 samples determined to be lambda restricted by flow cytometry. In two of the lambda restricted samples only a clonal lambda rearrangement was identified, showing the benefit of including primers targeting both the kappa and lambda light chains in a pan-clonality NGS assay. Both the MM and B-ALL cohorts were evaluated for biased IGHV gene usage. IGHV3-11 was observed in 5 of 45 MM and 5 of 12 B-ALL samples. IGHV4-34, typically linked to autoreactive antibodies and underrepresented in germinal center and memory B-cells, was nonetheless found in 5 of 45 MM samples surveyed. Estimates of somatic hypermutation rates were calculated using the BCR pan-clonality assay. Most MM samples, as expected, contained some somatic hypermutation with 6 of 45 samples showing greater than 10% mutation rates. Automated lineage analysis, based on somatic hypermuation signatures within each sample, identified 8 of 45 MM samples which contained 5 or more clones in the primary clonal lineage, with one case containing a lineage with 23 clones. Two MM samples showed no somatic hypermutation as measured using the FR3 primers contained in the BCR pan-clonality assay. These samples were also evaluated using an FR1-J targeted NGS assay, which confirmed relatively low mutation rates for these MM samples at 0.44% and 1.3%, respectively. Conclusions These results demonstrate the utility of a novel assay for combined repertoire analysis of B cell receptor heavy and light chains in a single library preparation reaction. We expect this assay to simplify laboratory workflows and including analysis tools such as automated somatic hypermutation rate calculation and clonal lineage identification may open new paths for research in lymphoid cell disorders. For research use only. Disclosures Lowman: Thermo Fisher Scientific: Current Employment. Toro: Thermo Fisher Scientific: Current Employment. Pickle: Thermo Fisher Scientific: Current Employment. Ostresh: Thermo Fisher Scientific: Current Employment. Sarda: Thermo Fisher Scientific: Current Employment. Yang: Thermo Fisher Scientific: Current Employment.


1999 ◽  
Vol 7 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Marilia Cascalho ◽  
Denise A. Martin ◽  
Jamie Wong ◽  
Queenie Lam ◽  
Matthias Wabl ◽  
...  

We have generated a monoclonal B-cell mouse by introducing homozygous, nonfunctional RAG-2 alleles and aλ1 light-chain transgene into the quasi-monoclonal (QM) mouse, which contains a “knocked-in” VHDJHrearrangement. Thus, this mouse, which we call MonoB, is devoid of T cells and contains preformed heavy- and light-chain genes encoding immunoglobulin with an anti-NP specificity. The MonoB mouse allows us to examine immunoglobulin diversity in the absence of processes mediated by V(D)J recombination and T cells. Here we report that not only is the MonoB's primary immunoglobulin repertoire monoclonal, but also that its secondary repertoire is not further diversified by V-gene replacement or gene conversion. Among 99 heavy-chain and 41λlight-chain genes from peripheral B cells of the MonoB mouse, there were no V-gene replacements. When compared to the QM mouse, which has RAG activity, and for which V-gene replacement is the major diversifying mechanism, these data suggest that V-gene replacement is mediated by V(D)J recombination and not by other recombination systems.


2003 ◽  
Vol 171 (5) ◽  
pp. 2725-2733 ◽  
Author(s):  
Gregory P. Owens ◽  
Alanna M. Ritchie ◽  
Mark P. Burgoon ◽  
R. Anthony Williamson ◽  
John R. Corboy ◽  
...  

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 4772-4772
Author(s):  
Selim A. Yavuz ◽  
Dan-Paul Hartmann ◽  
Said Baidas ◽  
Peter E. Lipsky ◽  
Metin Ozdemirli

Abstract Patients with chronic lymphocytic leukemia (CLL) may develop other B cell malignancies in their clinical course including aggressive diffuse large B-cell lymphomas and rarely myelomas. In a large proportion of cases, the secondary B cell malignancies reflected the emergence of immunophenotypically and genetically different clones. An immature type plasma cell myeloma developed in a 73-year-old female patient in whom CLL was diagnosed four years previously. The CLL expressed CD5, CD19, CD23, CD38 and surface kappa light chain, but were negative for ZAP-70. Trisomy 12 was detected by FISH analysis. PCR analysis of the peripheral blood for immunoglobulin heavy chain genes demonstrated two sharp bands that were initially interpreted as biallelic heavy chain gene rearrangements. Myeloma cells were CD38 and CD138 positive, CD19 negative and expressed cytoplasmic kappa light chain, but not heavy chains. In order to investigate the clonal relationship between these B cell malignancies, a detailed analysis of VHDJH and VκJκ gene rearrangements in individually sorted CD5 and CD19 double-positive CLL cells and also in CD38-positive and CD19-negative myeloma cells by single cell PCR of genomic DNA and direct sequencing was carried out. This technique permitted identification and pairing of both the heavy and light chain immunoglobulin genes from the same individually sorted cell. A total of 17 individual CLL and 23 myeloma cells were successfully analyzed. Our analysis demonstrated (a) the presence of two discrete clones of CLL, one with usage of [VH1-2*04/D3-3*01/J3*02]-[Vκ2-28*01/J1*01] without VH and Vκ hypermutation and the other with usage of [VH1-2*04/D4-11*01/J6*02]-[Vκ1-5*03/J1*01] with VH and Vκhypermutation; (b) no clonal relationship between the CLL and myeloma cells that utilized different VHDJH and VκJκ rearrangements [VH3-66*02/3-10*01/J4*03]-[Vκ1-33*01/J2*02] with VH and Vκ hypermutation. To our knowledge, this is the first demonstration of a biclonal CLL with mutated and unmutated clones in the same patient along with a third clonally unrelated B cell malignancy. This result suggests that single cell analysis may be necessary to detect subtle biclonality of CLL that might be associated with a more aggressive phenotype.


2011 ◽  
Vol 7 (8) ◽  
pp. e1002172 ◽  
Author(s):  
Sonja Pötzsch ◽  
Nadja Spindler ◽  
Anna-Katharina Wiegers ◽  
Tanja Fisch ◽  
Pia Rücker ◽  
...  

2015 ◽  
Vol 31 (20) ◽  
pp. 3356-3358 ◽  
Author(s):  
Namita T. Gupta ◽  
Jason A. Vander Heiden ◽  
Mohamed Uduman ◽  
Daniel Gadala-Maria ◽  
Gur Yaari ◽  
...  

Blood ◽  
2010 ◽  
Vol 116 (7) ◽  
pp. 1070-1078 ◽  
Author(s):  
Yu-Chang Wu ◽  
David Kipling ◽  
Hui Sun Leong ◽  
Victoria Martin ◽  
Alexander A. Ademokun ◽  
...  

Abstract B-cell receptor (BCR) diversity is achieved centrally by rearrangement of Variable, Diversity, and Joining genes, and peripherally by somatic hypermutation and class-switching of the rearranged genes. Peripheral B-cell populations are subject to both negative and positive selection events in the course of their development that have the potential to shape the BCR repertoire. The origin of IgM+IgD+CD27+ (IgM memory) cells is controversial. It has been suggested that they may be a prediversified, antigen-independent, population of cells or that they are a population of cells that develop in response to T-independent antigens. Most recently, it was suggested that the majority of IgM memory cells are directly related to switched memory cells and are early emigrants from the germinal center reaction. Advances in sequencing technology have enabled us to undertake large scale IGH repertoire analysis of transitional, naive, IgM memory and switched memory B-cell populations. We find that the memory B-cell repertoires differ from the transitional and naive repertoires, and that the IgM memory repertoire is distinct from that of class-switched memory. Thus we conclude that a large proportion of IgM memory cells develop in response to different stimuli than for class-switched memory cell development.


mAbs ◽  
2015 ◽  
Vol 8 (1) ◽  
pp. 129-140 ◽  
Author(s):  
Kara S. Cox ◽  
Aimin Tang ◽  
Zhifeng Chen ◽  
Melanie S. Horton ◽  
Hao Yan ◽  
...  

Author(s):  
Xianwen Ren ◽  
Wen Wen ◽  
Xiaoying Fan ◽  
Wenhong Hou ◽  
Bin Su ◽  
...  

SUMMARYDysfunctional immune response in the COVID-19 patients is a recurrent theme impacting symptoms and mortality, yet the detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 205 COVID-19 patients and controls to create a comprehensive immune landscape. Lymphopenia and active T and B cell responses were found to coexist and associated with age, sex and their interactions with COVID-19. Diverse epithelial and immune cell types were observed to be virus-positive and showed dramatic transcriptomic changes. Elevation of ANXA1 and S100A9 in virus-positive squamous epithelial cells may enable the initiation of neutrophil and macrophage responses via the ANXA1-FPR1 and S100A8/9-TLR4 axes. Systemic upregulation of S100A8/A9, mainly by megakaryocytes and monocytes in the peripheral blood, may contribute to the cytokine storms frequently observed in severe patients. Our data provide a rich resource for understanding the pathogenesis and designing effective therapeutic strategies for COVID-19.HIGHLIGHTSLarge-scale scRNA-seq analysis depicts the immune landscape of COVID-19Lymphopenia and active T and B cell responses coexist and are shaped by age and sexSARS-CoV-2 infects diverse epithelial and immune cells, inducing distinct responsesCytokine storms with systemic S100A8/A9 are associated with COVID-19 severity


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