1
|
Chennareddy S, Rindler K, Ruggiero JR, Alkon N, Cohenour ER, Tran S, Weninger W, Griss J, Jonak C, Brunner PM. Single-cell RNA sequencing comparison of CD4+, CD8+ and TCR-γδ+ cutaneous T-cell lymphomas reveals subset-specific molecular phenotypes. Br J Dermatol 2024:ljae313. [PMID: 39133553 DOI: 10.1093/bjd/ljae313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 07/17/2024] [Accepted: 08/09/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND Malignant clones of primary cutaneous T-cell lymphomas (CTCL) can show a CD4, CD8 or TCR-γδ phenotype, but their individual impact on tumor biology and skin lesion formation remains ill-defined. OBJECTIVES To perform a comprehensive molecular characterization of CD4+ vs. CD8+ and TCR-γ/δ+ CTCL lesions. METHODS We performed scRNA-seq of 18 CTCL skin biopsies to compare classic CD4+ advanced-stage mycosis fungoides (MF) with TCR-γ/δ+MF and primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma (Berti's lymphoma). RESULTS Malignant clones of TCR-γ/δ+MF and Berti's lymphoma showed similar clustering patterns distinct from CD4+MF, along with increased expression of cytotoxic markers such as NKG7, CTSW, GZMA, and GZMM. Only advanced-stage CD4+MF clones expressed central memory T-cell markers (SELL, CCR7, LEF1), alongside B1/B2 blood involvement, whereas TCR-γ/δ+MF and Berti's lymphoma harbored a more tissue-resident phenotype (CD69, CXCR4, NR4A1) without detectable cells in the blood. CD4+MF and TCR-γ/δ+MF skin lesions harbored strong type 2 immune activation across myeloid cells, while Berti's lymphoma was more skewed towards type 1 immune responses. Both CD4+MF and TCR-γ/δ+MF lesions showed upregulation of keratinocyte hyperactivation markers such as S100As and KRT16 genes. This increase was entirely absent in Berti's lymphoma, possibly reflecting an aberrant keratinocyte response to invading tumor cells, that could contribute to the formation of the typical ulcero-necrotic lesions within this entity. CONCLUSIONS Our scRNAseq profiling study reveals specific molecular patterns associated with distinct CTCL subtypes.
Collapse
Affiliation(s)
- Sumanth Chennareddy
- Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - John R Ruggiero
- Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Natalia Alkon
- Department of Dermatology, Medical University of Vienna, Austria
| | - Emry R Cohenour
- Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sophia Tran
- Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Johannes Griss
- Department of Dermatology, Medical University of Vienna, Austria
| | - Constanze Jonak
- Department of Dermatology, Medical University of Vienna, Austria
| | - Patrick M Brunner
- Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| |
Collapse
|
2
|
Qiu Y, Xie E, Xu H, Cheng H, Li G. One-carbon metabolism shapes T cell immunity in cancer. Trends Endocrinol Metab 2024:S1043-2760(24)00160-7. [PMID: 38925992 DOI: 10.1016/j.tem.2024.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 05/30/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024]
Abstract
One-carbon metabolism (1CM), comprising folate metabolism and methionine metabolism, serves as an important mechanism for cellular energy provision and the production of vital signaling molecules, including single-carbon moieties. Its regulation is instrumental in sustaining the proliferation of cancer cells and facilitating metastasis; in addition, recent research has shed light on its impact on the efficacy of T cell-mediated immunotherapy. In this review, we consolidate current insights into how 1CM affects T cell activation, differentiation, and functionality. Furthermore, we delve into the strategies for modulating 1CM in both T cells and tumor cells to enhance the efficacy of adoptively transferred T cells, overcome metabolic challenges in the tumor microenvironment (TME), and maximize the benefits of T cell-mediated immunotherapy.
Collapse
Affiliation(s)
- Yajing Qiu
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, 215123, Jiangsu, China; Key Laboratory of Synthetic Biology Regulatory Elements, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, 215123, Jiangsu, China
| | - Ermei Xie
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, 215123, Jiangsu, China; Key Laboratory of Synthetic Biology Regulatory Elements, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, 215123, Jiangsu, China
| | - Haipeng Xu
- Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fujian, 350011, China
| | - Hongcheng Cheng
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, 215123, Jiangsu, China; Key Laboratory of Synthetic Biology Regulatory Elements, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, 215123, Jiangsu, China.
| | - Guideng Li
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, 215123, Jiangsu, China; Key Laboratory of Synthetic Biology Regulatory Elements, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, 215123, Jiangsu, China.
| |
Collapse
|
3
|
Chattopadhyay PK. Molecular cytometry for comprehensive immune profiling. Methods Cell Biol 2024; 186:249-270. [PMID: 38705602 DOI: 10.1016/bs.mcb.2024.02.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Molecular cytometry refers to a group of high-parameter technologies for single-cell analysis that share the following traits: (1) combined (multimodal) measurement of protein and transcripts, (2) medium throughput (10-100K cells), and (3) the use of oligonucleotide-tagged antibodies to detect protein expression. The platform can measure over 100 proteins and either hundreds of targeted genes or the whole transcriptome, on a cell-by-cell basis. It is currently one of the most powerful technologies available for immune monitoring. Here, we describe the technology platform (which includes CITE-Seq, REAP-Seq, and AbSeq), provide guidance for its optimization, and discuss advantages and limitations. Finally, we provide some vignettes from studies that demonstrate the application and potential insight that can be gained from molecular cytometry studies.
Collapse
|
4
|
Revach OY, Cicerchia AM, Shorer O, Petrova B, Anderson S, Park J, Chen L, Mehta A, Wright SJ, McNamee N, Tal-Mason A, Cattaneo G, Tiwari P, Xie H, Sweere JM, Cheng LC, Sigal N, Enrico E, Miljkovic M, Evans SA, Nguyen N, Whidden ME, Srinivasan R, Spitzer MH, Sun Y, Sharova T, Lawless AR, Michaud WA, Rasmussen MQ, Fang J, Palin CA, Chen F, Wang X, Ferrone CR, Lawrence DP, Sullivan RJ, Liu D, Sachdeva UM, Sen DR, Flaherty KT, Manguso RT, Bod L, Kellis M, Boland GM, Yizhak K, Yang J, Kanarek N, Sade-Feldman M, Hacohen N, Jenkins RW. Disrupting CD38-driven T cell dysfunction restores sensitivity to cancer immunotherapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.12.579184. [PMID: 38405985 PMCID: PMC10888727 DOI: 10.1101/2024.02.12.579184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
A central problem in cancer immunotherapy with immune checkpoint blockade (ICB) is the development of resistance, which affects 50% of patients with metastatic melanoma1,2. T cell exhaustion, resulting from chronic antigen exposure in the tumour microenvironment, is a major driver of ICB resistance3. Here, we show that CD38, an ecto-enzyme involved in nicotinamide adenine dinucleotide (NAD+) catabolism, is highly expressed in exhausted CD8+ T cells in melanoma and is associated with ICB resistance. Tumour-derived CD38hiCD8+ T cells are dysfunctional, characterised by impaired proliferative capacity, effector function, and dysregulated mitochondrial bioenergetics. Genetic and pharmacological blockade of CD38 in murine and patient-derived organotypic tumour models (MDOTS/PDOTS) enhanced tumour immunity and overcame ICB resistance. Mechanistically, disrupting CD38 activity in T cells restored cellular NAD+ pools, improved mitochondrial function, increased proliferation, augmented effector function, and restored ICB sensitivity. Taken together, these data demonstrate a role for the CD38-NAD+ axis in promoting T cell exhaustion and ICB resistance, and establish the efficacy of CD38 directed therapeutic strategies to overcome ICB resistance using clinically relevant, patient-derived 3D tumour models.
Collapse
Affiliation(s)
- Or-Yam Revach
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Angelina M. Cicerchia
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Ofir Shorer
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Boryana Petrova
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Boston Children’s Hospital, Boston, MA, USA
| | - Seth Anderson
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joshua Park
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lee Chen
- Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Arnav Mehta
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Niamh McNamee
- Harvard Medical School, Boston, MA, USA
- Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Aya Tal-Mason
- Harvard Medical School, Boston, MA, USA
- Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Giulia Cattaneo
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Payal Tiwari
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hongyan Xie
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | | | | | | | | | | | | | - Matthew H. Spitzer
- Teiko Bio, Salt Lake City, UT, USA
- Department of Otolaryngology-Head and Neck Cancer, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology & Immunology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Yi Sun
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Tatyana Sharova
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Aleigha R. Lawless
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - William A. Michaud
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Martin Q. Rasmussen
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jacy Fang
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Claire A. Palin
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Feng Chen
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Xinhui Wang
- Harvard Medical School, Boston, MA, USA
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Cristina R. Ferrone
- Harvard Medical School, Boston, MA, USA
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
- Department of Surgery, Cedars-Sinai Medical Center Los Angeles, CA, USA
| | - Donald P. Lawrence
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ryan J. Sullivan
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - David Liu
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Uma M. Sachdeva
- Harvard Medical School, Boston, MA, USA
- Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Debattama R. Sen
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Keith T. Flaherty
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Robert T. Manguso
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lloyd Bod
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Manolis Kellis
- Department of Pathology, Boston Children’s Hospital, Boston, MA, USA
| | - Genevieve M. Boland
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Gastrointestinal and Oncologic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Keren Yizhak
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Jiekun Yang
- Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Naama Kanarek
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Boston Children’s Hospital, Boston, MA, USA
| | - Moshe Sade-Feldman
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nir Hacohen
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Russell W. Jenkins
- Mass General Cancer Center, Krantz Family Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| |
Collapse
|
5
|
Tsubouchi A, An Y, Kawamura Y, Yanagihashi Y, Nakayama H, Murata Y, Teranishi K, Ishiguro S, Aburatani H, Yachie N, Ota S. Pooled CRISPR screening of high-content cellular phenotypes using ghost cytometry. CELL REPORTS METHODS 2024; 4:100737. [PMID: 38531306 PMCID: PMC10985231 DOI: 10.1016/j.crmeth.2024.100737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 10/30/2023] [Accepted: 02/27/2024] [Indexed: 03/28/2024]
Abstract
Recent advancements in image-based pooled CRISPR screening have facilitated the mapping of diverse genotype-phenotype associations within mammalian cells. However, the rapid enrichment of cells based on morphological information continues to pose a challenge, constraining the capacity for large-scale gene perturbation screening across diverse high-content cellular phenotypes. In this study, we demonstrate the applicability of multimodal ghost cytometry-based cell sorting, including both fluorescent and label-free high-content phenotypes, for rapid pooled CRISPR screening within vast cell populations. Using the high-content cell sorter operating in fluorescence mode, we successfully executed kinase-specific CRISPR screening targeting genes influencing the nuclear translocation of RelA. Furthermore, using the multiparametric, label-free mode, we performed large-scale screening to identify genes involved in macrophage polarization. Notably, the label-free platform can enrich target phenotypes without requiring invasive staining, preserving untouched cells for downstream assays and expanding the potential for screening cellular phenotypes even when suitable markers are absent.
Collapse
Affiliation(s)
| | - Yuri An
- ThinkCyte Inc., Tokyo 113-8654, Japan
| | | | | | | | | | | | - Soh Ishiguro
- School of Biomedical Engineering, Faculty of Medicine and Faculty of Applied Science, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Hiroyuki Aburatani
- Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan
| | - Nozomu Yachie
- School of Biomedical Engineering, Faculty of Medicine and Faculty of Applied Science, University of British Columbia, Vancouver, BC V6T 1Z3, Canada; Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan
| | - Sadao Ota
- ThinkCyte Inc., Tokyo 113-8654, Japan; Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan.
| |
Collapse
|
6
|
Soni J, Chattopadhyay P, Mehta P, Mohite R, Tardalkar K, Joshi M, Pandey R. Dynamics of Whole Transcriptome Analysis (WTA) and Surface markers expression (AbSeq) in Immune Cells of COVID-19 Patients and Recovered captured through Single Cell Genomics. Front Med (Lausanne) 2024; 11:1297001. [PMID: 38357647 PMCID: PMC10864604 DOI: 10.3389/fmed.2024.1297001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024] Open
Abstract
Introduction Single-cell multi-omics studies, such as multidimensional transcriptomics (whole transcriptomic analysis, WTA), and surface marker analysis (antibody sequencing, AbSeq), have turned out to be valuable techniques that offer inaccessible possibilities for single-cell profiling of mRNA, lncRNA, and proteins. Methods We used this technique to understand the dynamics of mRNA and protein-level differences in healthy, COVID-19-infected and recovered individuals using peripheral blood mononuclear cells (PBMCs). Our results demonstrate that compared to mRNA expression, protein abundance is a better indicator of the disease state. Results We demonstrate that compared to mRNA expression, protein abundance is a better indicator of the disease state. We observed high levels of cell identity and regulatory markers, CD3E, CD4, CD8A, CD5, CD7, GITR, and KLRB1 in healthy individuals, whereas markers related to cell activation, CD38, CD28, CD69, CD62L, CD14, and CD16 elevated in the SARS-CoV-2 infected patients at both WTA and AbSeq levels. Curiously, in recovered individuals, there was a high expression of cytokine and chemokine receptors (CCR5, CCR7, CCR4, CXCR3, and PTGRD2). We also observed variations in the expression of markers within cell populations under different states. Discussion Furthermore, our study emphasizes the significance of employing an oligo-based method (AbSeq) that can help in diagnosis, prognosis, and protection from disease/s by identifying cell surface markers that are unique to different cell types or states. It also allows simultaneous study of a vast array of markers, surpassing the constraints of techniques like FACS to query the vast repertoire of proteins.
Collapse
Affiliation(s)
- Jyoti Soni
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Partha Chattopadhyay
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Priyanka Mehta
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Ramakant Mohite
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Kishore Tardalkar
- Department of Stem Cells & Regenerative Medicine, D. Y. Patil Education Society, Kolhapur, India
| | - Meghnad Joshi
- Department of Stem Cells & Regenerative Medicine, D. Y. Patil Education Society, Kolhapur, India
| | - Rajesh Pandey
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| |
Collapse
|
7
|
van der List ACJ, Litjens NHR, Brouwer RWW, Klepper M, den Dekker AT, van Ijcken WFJ, Betjes MGH. Single-Cell RNA Sequencing of Donor-Reactive T Cells Reveals Role of Apoptosis in Donor-Specific Hyporesponsiveness of Kidney Transplant Recipients. Int J Mol Sci 2023; 24:14463. [PMID: 37833911 PMCID: PMC10572284 DOI: 10.3390/ijms241914463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/12/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
After kidney transplantation (KT), donor-specific hyporesponsiveness (DSH) of recipient T cells develops over time. Recently, apoptosis was identified as a possible underlying mechanism. In this study, both transcriptomic profiles and complete V(D)J variable regions of TR transcripts from individual alloreactive T cells of kidney transplant recipients were determined with single-cell RNA sequencing. Alloreactive T cells were identified by CD137 expression after stimulation of peripheral blood mononuclear cells obtained from KT recipients (N = 7) prior to and 3-5 years after transplantation with cells of their donor or a third party control. The alloreactive T cells were sorted, sequenced and the transcriptome and T cell receptor profiles were analyzed using unsupervised clustering. Alloreactive T cells retain a highly polyclonal T Cell Receptor Alpha/Beta repertoire over time. Post transplantation, donor-reactive CD4+ T cells had a specific downregulation of genes involved in T cell cytokine-mediated pathways and apoptosis. The CD8+ donor-reactive T cell profile did not change significantly over time. Single-cell expression profiling shows that activated and pro-apoptotic donor-reactive CD4+ T cell clones are preferentially lost after transplantation in stable kidney transplant recipients.
Collapse
Affiliation(s)
- Amy C. J. van der List
- Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Center, 3015 CN Rotterdam, The Netherlands; (A.C.J.v.d.L.); (N.H.R.L.); (M.K.)
| | - Nicolle H. R. Litjens
- Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Center, 3015 CN Rotterdam, The Netherlands; (A.C.J.v.d.L.); (N.H.R.L.); (M.K.)
| | - Rutger W. W. Brouwer
- Erasmus MC Center for Biomics, University Medical Center, 3015 CN Rotterdam, The Netherlands; (R.W.W.B.); (A.T.d.D.); (W.F.J.v.I.)
| | - Mariska Klepper
- Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Center, 3015 CN Rotterdam, The Netherlands; (A.C.J.v.d.L.); (N.H.R.L.); (M.K.)
| | - Alexander T. den Dekker
- Erasmus MC Center for Biomics, University Medical Center, 3015 CN Rotterdam, The Netherlands; (R.W.W.B.); (A.T.d.D.); (W.F.J.v.I.)
| | - Wilfred F. J. van Ijcken
- Erasmus MC Center for Biomics, University Medical Center, 3015 CN Rotterdam, The Netherlands; (R.W.W.B.); (A.T.d.D.); (W.F.J.v.I.)
| | - Michiel G. H. Betjes
- Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Center, 3015 CN Rotterdam, The Netherlands; (A.C.J.v.d.L.); (N.H.R.L.); (M.K.)
| |
Collapse
|
8
|
Kisling SG, Atri P, Shah A, Cox JL, Sharma S, Smith LM, Ghersi D, Batra SK. A Novel HOXA10-Associated 5-Gene-Based Prognostic Signature for Stratification of Short-term Survivors of Pancreatic Ductal Adenocarcinoma. Clin Cancer Res 2023; 29:3759-3770. [PMID: 37432996 PMCID: PMC10529249 DOI: 10.1158/1078-0432.ccr-23-0825] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 06/02/2023] [Accepted: 07/06/2023] [Indexed: 07/13/2023]
Abstract
PURPOSE Despite the significant association of molecular subtypes with poor prognosis in patients with pancreatic ductal adenocarcinoma (PDAC), few efforts have been made to identify the underlying pathway(s) responsible for this prognosis. Identifying a clinically relevant prognosis-based gene signature may be the key to improving patient outcomes. EXPERIMENTAL DESIGN We analyzed the transcriptomic profiles of treatment-naïve surgically resected short-term survivor (STS) and long-term survivor (LTS) tumors (GSE62452) for expression and survival, followed by validation in several datasets. These results were corroborated by IHC analysis of PDAC-resected STS and LTS tumors. The mechanism of this differential survival was investigated using CIBERSORT and pathway analyses. RESULTS We identified a short-surviving prognostic subtype of PDAC with a high degree of significance (P = 0.018). One hundred thirty genes in this novel subtype were found to be regulated by a master regulator, homeobox gene HOXA10, and a 5-gene signature derived from these genes, including BANF1, EIF4G1, MRPS10, PDIA4, and TYMS, exhibited differential expression in STSs and a strong association with poor survival. This signature was further associated with the proportion of T cells and macrophages found in STSs and LTSs, demonstrating a potential role in PDAC immunosuppression. Pathway analyses corroborated these findings, revealing that this HOXA10-driven prognostic signature is associated with immune suppression and enhanced tumorigenesis. CONCLUSIONS Overall, these findings reveal the presence of a HOXA10-associated prognostic subtype that can be used to differentiate between STS and LTS patients of PDAC and inform on the molecular interactions that play a role in this poor prognosis.
Collapse
Affiliation(s)
- Sophia G. Kisling
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, NE, 68198, USA
| | - Pranita Atri
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, NE, 68198, USA
| | - Ashu Shah
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, NE, 68198, USA
| | - Jesse L. Cox
- Department of Pathology and Microbiology, University of Nebraska Medical Center, NE, 68198, USA
| | - Sunandini Sharma
- Department of Pathology and Microbiology, University of Nebraska Medical Center, NE, 68198, USA
| | - Lynette M. Smith
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, NE, 68198, USA
| | - Dario Ghersi
- School of Interdisciplinary Informatics, College of Information Science & Technology, University of Nebraska Omaha, NE, 68182, USA
| | - Surinder K. Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, NE, 68198, USA
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, NE, 68198, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, NE, 68198, USA
| |
Collapse
|
9
|
Jenkins E, Whitehead T, Fellermeyer M, Davis SJ, Sharma S. The current state and future of T-cell exhaustion research. OXFORD OPEN IMMUNOLOGY 2023; 4:iqad006. [PMID: 37554723 PMCID: PMC10352049 DOI: 10.1093/oxfimm/iqad006] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/16/2023] [Accepted: 06/28/2023] [Indexed: 08/10/2023] Open
Abstract
'Exhaustion' is a term used to describe a state of native and redirected T-cell hypo-responsiveness resulting from persistent antigen exposure during chronic viral infections or cancer. Although a well-established phenotype across mice and humans, exhaustion at the molecular level remains poorly defined and inconsistent across the literature. This is, in part, due to an overreliance on surface receptors to define these cells and explain exhaustive behaviours, an incomplete understanding of how exhaustion arises, and a lack of clarity over whether exhaustion is the same across contexts, e.g. chronic viral infections versus cancer. With the development of systems-based genetic approaches such as single-cell RNA-seq and CRISPR screens applied to in vivo data, we are moving closer to a consensus view of exhaustion, although understanding how it arises remains challenging given the difficulty in manipulating the in vivo setting. Accordingly, producing and studying exhausted T-cells ex vivo are burgeoning, allowing experiments to be conducted at scale up and with high throughput. Here, we first review what is currently known about T-cell exhaustion and how it's being studied. We then discuss how improvements in their method of isolation/production and examining the impact of different microenvironmental signals and cell interactions have now become an active area of research. Finally, we discuss what the future holds for the analysis of this physiological condition and, given the diversity of ways in which exhausted cells are now being generated, propose the adoption of a unified approach to clearly defining exhaustion using a set of metabolic-, epigenetic-, transcriptional-, and activation-based phenotypic markers, that we call 'M.E.T.A'.
Collapse
Affiliation(s)
- Edward Jenkins
- Kennedy Institute of Rheumatology, University of Oxford, Oxford OX3 7FY, UK
| | - Toby Whitehead
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DS, UK
| | - Martin Fellermeyer
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DS, UK
| | - Simon J Davis
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DS, UK
| | - Sumana Sharma
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DS, UK
| |
Collapse
|
10
|
Nguyen T, Wei Y, Nakada Y, Chen JY, Zhou Y, Walcott G, Zhang J. Analysis of cardiac single-cell RNA-sequencing data can be improved by the use of artificial-intelligence-based tools. Sci Rep 2023; 13:6821. [PMID: 37100826 PMCID: PMC10133286 DOI: 10.1038/s41598-023-32293-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 03/25/2023] [Indexed: 04/28/2023] Open
Abstract
Single-cell RNA sequencing (scRNAseq) enables researchers to identify and characterize populations and subpopulations of different cell types in hearts recovering from myocardial infarction (MI) by characterizing the transcriptomes in thousands of individual cells. However, the effectiveness of the currently available tools for processing and interpreting these immense datasets is limited. We incorporated three Artificial Intelligence (AI) techniques into a toolkit for evaluating scRNAseq data: AI Autoencoding separates data from different cell types and subpopulations of cell types (cluster analysis); AI Sparse Modeling identifies genes and signaling mechanisms that are differentially activated between subpopulations (pathway/gene set enrichment analysis), and AI Semisupervised Learning tracks the transformation of cells from one subpopulation into another (trajectory analysis). Autoencoding was often used in data denoising; yet, in our pipeline, Autoencoding was exclusively used for cell embedding and clustering. The performance of our AI scRNAseq toolkit and other highly cited non-AI tools was evaluated with three scRNAseq datasets obtained from the Gene Expression Omnibus database. Autoencoder was the only tool to identify differences between the cardiomyocyte subpopulations found in mice that underwent MI or sham-MI surgery on postnatal day (P) 1. Statistically significant differences between cardiomyocytes from P1-MI mice and mice that underwent MI on P8 were identified for six cell-cycle phases and five signaling pathways when the data were analyzed via Sparse Modeling, compared to just one cell-cycle phase and one pathway when the data were analyzed with non-AI techniques. Only Semisupervised Learning detected trajectories between the predominant cardiomyocyte clusters in hearts collected on P28 from pigs that underwent apical resection (AR) on P1, and on P30 from pigs that underwent AR on P1 and MI on P28. In another dataset, the pig scRNAseq data were collected after the injection of CCND2-overexpression Human-induced Pluripotent Stem Cell-derived cardiomyocytes (CCND2hiPSC) into injured P28 pig heart; only the AI-based technique could demonstrate that the host cardiomyocytes increase proliferating by through the HIPPO/YAP and MAPK signaling pathways. For the cluster, pathway/gene set enrichment, and trajectory analysis of scRNAseq datasets generated from studies of myocardial regeneration in mice and pigs, our AI-based toolkit identified results that non-AI techniques did not discover. These different results were validated and were important in explaining myocardial regeneration.
Collapse
Affiliation(s)
- Thanh Nguyen
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, 35233, USA
| | - Yuhua Wei
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, 35233, USA
| | - Yuji Nakada
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, 35233, USA
| | - Jake Y Chen
- Informatics Institute, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA
| | - Yang Zhou
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, 35233, USA
| | - Gregory Walcott
- Department of Medicine, Cardiovascular Diseases, University of Alabama at Birmingham, Birmingham, AL, 35233, USA
| | - Jianyi Zhang
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
- Department of Medicine, Cardiovascular Diseases, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
- Department of Biomedical Engineering, School of Medicine and School of Engineering, University of Alabama at Birmingham, 1670 University Blvd, Volker Hall G094J, Birmingham, AL, 35233, USA.
| |
Collapse
|
11
|
Salomon R. Genomic cytometry is maturing but has single-cell multiomics hit puberty yet? Cytometry A 2021; 101:12-14. [PMID: 34173315 DOI: 10.1002/cyto.a.24477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 06/14/2021] [Indexed: 11/06/2022]
Affiliation(s)
- Robert Salomon
- Institute for Biomedical Materials and Devices, The University of Technology Sydney, Ultimo, New South Wales, Australia.,ACRF Child Cancer Liquid Biopsy Program, Children's Cancer Institute, Kensington, New South Wales, Australia
| |
Collapse
|