Laser Tweezers Raman Spectroscopy Detects Differences between Normal Human Lymphocytes, Activated Lymphocytes and Leukemia.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 4530-4530
Author(s):  
Douglas Scott Taylor ◽  
James W. Chan ◽  
Theodore Zwerdling ◽  
Stephen M. Lane ◽  
Joeseph Tuscano ◽  
...  

Abstract Raman spectroscopy is a laser-based analytical technique that enables chemical characterization of molecules in a sample. It is based on the inelastic scattering of photons by molecular bond vibrations. A Raman spectrum obtained from single cells is an intrinsic molecular fingerprint of the sample, revealing detailed information about DNA, RNA, protein, lipid, and carbohydrate content as well as macromolecular conformations. This technique is rapid, non-invasive and non-destructive. We have demonstrated that single-cell laser tweezers Raman spectroscopy (LTRS) reliably discriminates between normal human T- and B-lymphocytes and their transformed, Jurkat-T and Raji-B, counterparts. Herein the same technique is used to discern normal human T- and B-cells from T- and preB-leukemia cells. Also, demonstrated are Raman spectra changes that result from the activation of normal T-cells with a combination of TPA and ionomycin, and normal B-cells by cross linkage of surface immunoglobulin. T- and B-cells were isolated from healthy volunteers. T- and preB-leukemia cells were isolated from patient samples. Spectra are both compared directly and analyzed by principal component analysis. Significant Raman spectra differences in characteristic DNA and protein signals discriminate between normal cells and their leukemia counterparts. Human leukemia cells were indistinguishable from Jurkat-T and Raji-B cells. Changes in spectra that result from cell activation and proliferation only partially account for the spectra changes of leukemia cells. These data demonstrate the utility of LTRS to discern normal lymphocytes from both transformed cells and leukemia cells.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 4531-4531
Author(s):  
Douglas Scott Taylor ◽  
James W. Chan ◽  
Theodore Zerdling ◽  
Stephen M. Lane ◽  
Ko Ihara ◽  
...  

Abstract Current methods for identifying neoplastic cells and discerning them from normal counterparts are often non-specific, slow, biologically perturbing, or a combination, thereof. Here, we show that single-cell, laser-tweezers Raman spectroscopy (LTRS) averts these shortcomings and also permits mechanical manipulation of the single cell under investigation. LTRS is used to characterize the biomolecular Raman signature of both normal human lymphocytes and transformed Jurkat and Raji lymphocyte cell lines from single, unfixed cells in suspension. We demonstrate that single-cell Raman spectra provide a highly reproducible biomolecular fingerprint. Characteristic peaks, mostly due to different DNA and protein concentrations, allow for discerning normal lymphocytes from transformed lymphocytes with high confidence (p << 0.05). Spectra are also compared and analyzed by principal component analysis (PCA) to demonstrate that normal and transformed cells form distinct clusters that can be defined using just two principal components. The method is shown to have a sensitivity of 98.3% for cancer detection, with 97.2% of the cells being correctly classified as being normal or transformed. These results demonstrate the potential application of LTRS as a clinical tool, research instrument, and for cell sorting based on its intrinsic biomolecular signature, therefore eliminating the need for exogenous fluorescent labeling.


1974 ◽  
Vol 140 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Melvyn Greaves ◽  
George Janossy ◽  
Michael Doenhoff

Human lymphocytes from spleen and tonsils have been cultured with a variety of polyclonal mitogens. Cultures consisted of either unseparated T and B cells or alternatively purified T or B lymphocytes. The purity of the starting cell populations and the origin of activated lymphoblasts was analyzed with a panel of seven markers which discriminate between T and B cells. The selectivity of the lymphocyte responses was influenced by cell populations in a given culture, the mitogen used, and to a limited extent on culture conditions. Purified T lymphocytes from tonsil and spleen responded to phytohemagglutinin (PHA), pokeweed mitogen (PWM), and staphylococcal enterotoxin B (SEB). Purified B cells from spleen responded well to PWM, weakly to SEB and lipopolysaccharide, but not at all to PHA. Tonsil B cells responded weakly to PWM and SEB but not to PHA. Some B lymphocytes do respond to PHA in the presence of activated T cells. These results are discussed in relation to previously reported selective responses of human cells and parallel studies in animal species.


1975 ◽  
Vol 20 (1) ◽  
pp. 64-68 ◽  
Author(s):  
David W. Scott ◽  
Shelby H. Josephs

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 984-984
Author(s):  
Bing CUi ◽  
George F. Widhopf ◽  
Jian Yu ◽  
Daniel Martinez ◽  
Esther Avery ◽  
...  

Abstract Abstract 984 ROR1 is an orphan receptor tyrosine kinase that is expressed on leukemia cells of patients with chronic lymphocytic leukemia (CLL), but not on most adult tissues of healthy adults, including CD5+ B cells. To generate anti-ROR1 antibodies, we immunized mice using different strategies employing vaccines comprised of recombinant ROR1 protein, polynucleotide-ROR1 vaccines and CD154 genetic adjuvants, or replication-defective adenovirus vectors encoding ROR1 and CD154. We extirpated the spleens of animals that developed high-titer serum anti-ROR1 antibodies and used these to generate monoclonal-antibody-(mAb)-producing hybridomas or antibody phage-display libraries that subsequently were screened for ROR1-binding. Over 70 unique mAbs were generated that each bound the extra-cellular domain of native ROR1. Most mAbs recognized an epitope(s) within the ROR1 Ig-like domain, which appears to represent the immune dominant epitope. Other mAb recognized epitopes within the conserved ROR1 Kringle domain. One mAb (UC D10-001) had distinctive binding to an intradomain epitope of human ROR1 (hROR1). UC D10-001 was the only mAb we found directly cytotoxic for hROR1-expressing leukemia cells cultured in media without complement for 6 hours. We found that UC D10-001 could induce significant reductions in basal levels of phosphorylated AKT in hROR1-expressing leukemia cells. Moreover, UC D10-001 significantly decreased the basal levels of phosphorylated AKT in freshly isolated human CLL cells (N=4) to levels comparable to that observed in co-cultures containing 10 mM LY294002, a broad-spectrum inhibitor of PI3K. We examined whether this mAb had cytotoxic activity for leukemia cell in vivo. For this we examined whether we could inhibit the adoptive transfer of human-ROR1-expressing leukemia cells to young, syngeneic recipient mice made transgenic for human ROR1 under control of a B-cell specific promoter. Cohorts of 5 animals per group were each given intravenous injections of antibody at a dose of at 10 mg/kg. Each cohort was treated with UC D10-001, control IgG, or 4A5, an anti-ROR1 mAb specific for a non-cross-reactive epitope located in the Ig-like domain of ROR1. Each animal received an intravenous injection of 5 × 105 ROR1-expressing leukemia cells and then was assessed weekly for circulating leukemia cells by flow cytometry. UC D10-001, but not control IgG or 4A5, significantly inhibited engraftment of the ROR1+ leukemia. Four weeks after adoptive transfer, animals treated with UC D10-001 had a 10-fold lower median number of leukemia B cells in the blood than animals treated with control IgG or 4A5. We also tested UC D10-001 for its capacity to induce clearance of human ROR1+ CLL cells engrafted into the peritoneal cavity of Rag-2−/−/γc−/− immune deficient mice. Each of these mice received intraperitoneal injections of equal numbers of human ROR1+ CLL cells prior to receiving D10-001, control IgG, or 4A5, each at 10 mg/kg. These animals were sacrificed seven days later and the human leukemia cells were harvested via peritoneal lavage. In mice treated with UC D10-001 we harvested an average of only 6 × 104 ± 3 × 104 CLL cells. This number of cells was significantly less than the average number of CLL cells harvested from control IgG or 4A5-treated mice (8 × 105 ± 4 × 105 or 7 × 105 ± 2 × 105, respectively, p <0.01). These studies indicate that the anti-ROR1 mAb UC D10-001 can be directly cytotoxic for ROR1-expressing leukemia cells in vitro and in vivo, a property that apparently is unique to this mAb among other anti-ROR1 mAbs. Because of the restricted expression of ROR1 on leukemia cells and the distinctive properties of this mAb, we propose that UC D10-001 might have potential utility in the treatment of patients with CLL. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 183-183
Author(s):  
Kai Wu ◽  
Qianyi Ma ◽  
Darren King ◽  
Jun Li ◽  
Sami Malek

Introduction: Despite achievement of complete remission (CR) following chemotherapy, Acute Myelogenous Leukemia (AML) relapses in the majority of adult patients. While relapsed AML is almost always clonally related to the disease at diagnosis, the actual molecular and cellular contributors to chemotherapy resistance and to AML relapse remain incompletely understood. Some molecular determinants of relapse have been identified in genomic, epigenetic and proteomic aberrations, while cellular relapse reservoirs have been identified in leukemia stem cells as well as in more mature leukemic cell compartments. Here, we set out to determine the cellular composition, gene mutation status and gene expression of paired AML specimens procured at diagnosis and at relapse aiming at a better understanding of the AML relapse process. Methods: We employed the drop-seq 3' single cell RNA sequencing (scRNA-seq) method (Macosko 2015) with minor modifications to analyze the mRNA expression in single cells derived from 12 paired AML specimens procured at diagnosis and at relapse from prior CR. We obtained scRNA-seq data on 1000-2000 single cells per sample detecting approximately 2000-3000 unique molecular identifiers (UMIs) and 800-1500 genes per cell. Using WES or panel-based sequencing we determined mutations in known driver genes. Subsequently, we optimized novel methods for detection and mapping of mutated driver genes to individual cells using mutation specific PCR conditions and novel bioinformatics approaches. We annotated scRNA-seq expression profiles of the diagnosis and relapsed AML specimens individually using publicly available data for cell type-specific RNA markers derived from sorted normal cell populations and further compared the scRNA-seq data to scRNA-seq data of 5 pooled normal human bone marrows generated for this study. Results: Through analyses of scRNA-seq data of paired diagnosis and relapse AML specimens via principle components analyses (PCA) or t-distributed stochastic neighbor embedding (t-SNE) we detected varying degrees of separation of cell clusters in all cases analyzed indicative of substantial changes in single cell gene expression between AML diagnosis and relapse. A few of these observed cluster shifts were paralleled by gain or loss of mutated genes (e.g. FLT3-ITD) at relapse while most others lacked obvious clonal genomic markers. Through subsequent comparison of the expression similarities of single AML cells to sorted normal human bone marrow cells we detected two distinct AML relapse patterns: i) a pattern of relapse suggesting simple leukemia regrowth as evidenced by similar proportions of leukemia cells mapping onto discrete normal bone marrow cells (e.g. monocyte-like or GMPs or CMPs), and, ii) a pattern of relapse whereby the gene expression of relapsed cells (but not diagnosis cells) had similarity to normal hematopoietic cells that are conventionally placed more apical in the classical hematopoiesis differentiation cascade (HSCs, MPPs, CMPs; a phenotypic shift to immaturity). In addition, no leukemia sample mapped to just one classically defined bone marrow cell type but instead to multiple cell types, suggesting that most AML leukemia cells harbor aberrant hybrid cell gene expression patterns. Finally, we detected quantitative shifts in T cells and NK cells in some samples at relapse, which will be analyzed in greater detail. Conclusions: The comparative analysis of scRNA-seq data of paired AML specimens procured at diagnosis and relapse, identifies frequent and previously unrecognized changes in gene expression in leukemia cells at relapse. Through a comparison of gene mutation and gene expression at single cell resolution we identify two distinct AML relapse patterns in adult AML. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Author(s):  
Jerome Samir ◽  
Simone Rizzetto ◽  
Money Gupta ◽  
Fabio Luciani

Abstract Background Single cell RNA sequencing provides unprecedented opportunity to simultaneously explore the transcriptomic and immune receptor diversity of T and B cells. However, there are limited tools available that simultaneously analyse large multi-omics datasets integrated with metadata such as patient and clinical information.Results We developed VDJView, which permits the simultaneous or independent analysis and visualisation of gene expression, immune receptors, and clinical metadata of both T and B cells. This tool is implemented as an easy-to-use R shiny web-application, which integrates numerous gene expression and TCR analysis tools, and accepts data from plate-based sorted or high-throughput single cell platforms. We utilised VDJView to analyse several 10X scRNA-seq datasets, including a recent dataset of 150,000 CD8+ T cells with available gene expression, TCR sequences, quantification of 15 surface proteins, and 44 antigen specificities (across viruses, cancer, and self-antigens). We performed quality control, filtering of tetramer non-specific cells, clustering, random sampling and hypothesis testing to discover antigen specific gene signatures which were associated with immune cell differentiation states and clonal expansion across the pathogen specific T cells. We also analysed 563 single cells (plate-based sorted) obtained from 11 subjects, revealing clonally expanded T and B cells across primary cancer tissues and metastatic lymph-node. These immune cells clustered with distinct gene signatures according to the breast cancer molecular subtype. VDJView has been tested in lab meetings and peer-to-peer discussions, showing effective data generation and discussion without the need to consult bioinformaticians.Conclusions VDJView enables researchers without profound bioinformatics skills to analyse immune scRNA-seq data, integrating and visualising this with clonality and metadata profiles, thus accelerating the process of hypothesis testing, data interpretation and discovery of cellular heterogeneity. VDJView is freely available at https://bitbucket.org/kirbyvisp/vdjview .


2020 ◽  
Author(s):  
Jerome Samir ◽  
Simone Rizzetto ◽  
Money Gupta ◽  
Fabio Luciani

Abstract Background Single cell RNA sequencing provides unprecedented opportunity to simultaneously explore the transcriptomic and immune receptor diversity of T and B cells. However, there are limited tools available that simultaneously analyse large multi-omics datasets integrated with metadata such as patient and clinical information.Results We developed VDJView, which permits the simultaneous or independent analysis and visualisation of gene expression, immune receptors, and clinical metadata of both T and B cells. This tool is implemented as an easy-to-use R shiny web-application, which integrates numerous gene expression and TCR analysis tools, and accepts data from plate-based sorted or high-throughput single cell platforms. We utilised VDJView to analyse several 10X scRNA-seq datasets, including a recent dataset of 150,000 CD8+ T cells with available gene expression, TCR sequences, quantification of 15 surface proteins, and 44 antigen specificities (across viruses, cancer, and self-antigens). We performed quality control, filtering of tetramer non-specific cells, clustering, random sampling and hypothesis testing to discover antigen specific gene signatures which were associated with immune cell differentiation states and clonal expansion across the pathogen specific T cells. We also analysed 563 single cells (plate-based sorted) obtained from 11 subjects, revealing clonally expanded T and B cells across primary cancer tissues and metastatic lymph-node. These immune cells clustered with distinct gene signatures according to the breast cancer molecular subtype. VDJView has been tested in lab meetings and peer-to-peer discussions, showing effective data generation and discussion without the need to consult bioinformaticians.Conclusions VDJView enables researchers without profound bioinformatics skills to analyse immune scRNA-seq data, integrating and visualising this with clonality and metadata profiles, thus accelerating the process of hypothesis testing, data interpretation and discovery of cellular heterogeneity. VDJView is freely available at https://bitbucket.org/kirbyvisp/vdjview .


2002 ◽  
Vol 26 (10) ◽  
pp. 919-926 ◽  
Author(s):  
Suzanne E Franks ◽  
Mitchell R Smith ◽  
Fernando Arias-Mendoza ◽  
Calvin Shaller ◽  
Kristen Padavic-Shaller ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document