Literature DB >> 30591526

Single-cell RNA-Seq of follicular lymphoma reveals malignant B-cell types and coexpression of T-cell immune checkpoints.

Noemi Andor1, Erin F Simonds2, Debra K Czerwinski1, Jiamin Chen1, Susan M Grimes3, Christina Wood-Bouwens1, Grace X Y Zheng4, Matthew A Kubit1, Stephanie Greer1, William A Weiss2, Ronald Levy1, Hanlee P Ji1,3.   

Abstract

Follicular lymphoma (FL) is a low-grade B-cell malignancy that transforms into a highly aggressive and lethal disease at a rate of 2% per year. Perfect isolation of the malignant B-cell population from a surgical biopsy is a significant challenge, masking important FL biology, such as immune checkpoint coexpression patterns. To resolve the underlying transcriptional networks of follicular B-cell lymphomas, we analyzed the transcriptomes of 34 188 cells derived from 6 primary FL tumors. For each tumor, we identified normal immune subpopulations and malignant B cells, based on gene expression. We used multicolor flow cytometry analysis of the same tumors to confirm our assignments of cellular lineages and validate our predictions of expressed proteins. Comparison of gene expression between matched malignant and normal B cells from the same patient revealed tumor-specific features. Malignant B cells exhibited restricted immunoglobulin (Ig) light chain expression (either Igκ or Igλ), as well the expected upregulation of the BCL2 gene, but also downregulation of the FCER2, CD52, and major histocompatibility complex class II genes. By analyzing thousands of individual cells per patient tumor, we identified the mosaic of malignant B-cell subclones that coexist within a FL and examined the characteristics of tumor-infiltrating T cells. We identified genes coexpressed with immune checkpoint molecules, such as CEBPA and B2M in regulatory T (Treg) cells, providing a better understanding of the gene networks involved in immune regulation. In summary, parallel measurement of single-cell expression in thousands of tumor cells and tumor-infiltrating lymphocytes can be used to obtain a systems-level view of the tumor microenvironment and identify new avenues for therapeutic development.
© 2019 by The American Society of Hematology.

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Year:  2018        PMID: 30591526      PMCID: PMC6405336          DOI: 10.1182/blood-2018-08-862292

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  33 in total

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Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

2.  Genetics of follicular lymphoma transformation.

Authors:  Laura Pasqualucci; Hossein Khiabanian; Marco Fangazio; Mansi Vasishtha; Monica Messina; Antony B Holmes; Peter Ouillette; Vladimir Trifonov; Davide Rossi; Fabrizio Tabbò; Maurilio Ponzoni; Amy Chadburn; Vundavalli V Murty; Govind Bhagat; Gianluca Gaidano; Giorgio Inghirami; Sami N Malek; Raul Rabadan; Riccardo Dalla-Favera
Journal:  Cell Rep       Date:  2014-01-02       Impact factor: 9.423

3.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

Authors:  Evan Z Macosko; Anindita Basu; Rahul Satija; James Nemesh; Karthik Shekhar; Melissa Goldman; Itay Tirosh; Allison R Bialas; Nolan Kamitaki; Emily M Martersteck; John J Trombetta; David A Weitz; Joshua R Sanes; Alex K Shalek; Aviv Regev; Steven A McCarroll
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

Review 4.  Transformed follicular non-Hodgkin lymphoma.

Authors:  Carla Casulo; W Richard Burack; Jonathan W Friedberg
Journal:  Blood       Date:  2014-12-11       Impact factor: 22.113

5.  Th1-specific cell surface protein Tim-3 regulates macrophage activation and severity of an autoimmune disease.

Authors:  Laurent Monney; Catherine A Sabatos; Jason L Gaglia; Akemi Ryu; Hanspeter Waldner; Tatyana Chernova; Stephen Manning; Edward A Greenfield; Anthony J Coyle; Raymond A Sobel; Gordon J Freeman; Vijay K Kuchroo
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

6.  Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors.

Authors:  Franziska Paul; Ya'ara Arkin; Amir Giladi; Diego Adhemar Jaitin; Ephraim Kenigsberg; Hadas Keren-Shaul; Deborah Winter; David Lara-Astiaso; Meital Gury; Assaf Weiner; Eyal David; Nadav Cohen; Felicia Kathrine Bratt Lauridsen; Simon Haas; Andreas Schlitzer; Alexander Mildner; Florent Ginhoux; Steffen Jung; Andreas Trumpp; Bo Torben Porse; Amos Tanay; Ido Amit
Journal:  Cell       Date:  2016-01-14       Impact factor: 41.582

7.  Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.

Authors:  Anoop P Patel; Itay Tirosh; John J Trombetta; Alex K Shalek; Shawn M Gillespie; Hiroaki Wakimoto; Daniel P Cahill; Brian V Nahed; William T Curry; Robert L Martuza; David N Louis; Orit Rozenblatt-Rosen; Mario L Suvà; Aviv Regev; Bradley E Bernstein
Journal:  Science       Date:  2014-06-12       Impact factor: 47.728

8.  Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.

Authors:  Jacob H Levine; Erin F Simonds; Sean C Bendall; Kara L Davis; El-ad D Amir; Michelle D Tadmor; Oren Litvin; Harris G Fienberg; Astraea Jager; Eli R Zunder; Rachel Finck; Amanda L Gedman; Ina Radtke; James R Downing; Dana Pe'er; Garry P Nolan
Journal:  Cell       Date:  2015-06-18       Impact factor: 41.582

9.  The architectural pattern of FOXP3-positive T cells in follicular lymphoma is an independent predictor of survival and histologic transformation.

Authors:  Pedro Farinha; Abdulwahab Al-Tourah; Karamjit Gill; Richard Klasa; Joseph M Connors; Randy D Gascoyne
Journal:  Blood       Date:  2009-11-09       Impact factor: 22.113

10.  Integrating single-cell transcriptomic data across different conditions, technologies, and species.

Authors:  Andrew Butler; Paul Hoffman; Peter Smibert; Efthymia Papalexi; Rahul Satija
Journal:  Nat Biotechnol       Date:  2018-04-02       Impact factor: 54.908

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  30 in total

1.  Single-cell RNA-seq clustering: datasets, models, and algorithms.

Authors:  Lihong Peng; Xiongfei Tian; Geng Tian; Junlin Xu; Xin Huang; Yanbin Weng; Jialiang Yang; Liqian Zhou
Journal:  RNA Biol       Date:  2020-03-01       Impact factor: 4.652

Review 2.  Application and prospects of single cell sequencing in tumors.

Authors:  Ruo Han Huang; Le Xin Wang; Jing He; Wen Gao
Journal:  Biomark Res       Date:  2021-12-11

Review 3.  Organoid Models for Infectious Disease.

Authors:  Sarah E Blutt; Mary K Estes
Journal:  Annu Rev Med       Date:  2021-10-13       Impact factor: 13.739

4.  Tee-ing up a New Follicular Lymphoma Classification System.

Authors:  Ari M Melnick
Journal:  Blood Cancer Discov       Date:  2022-09-06

5.  Single-Cell Genomic Characterization Reveals the Cellular Reprogramming of the Gastric Tumor Microenvironment.

Authors:  Anuja Sathe; Susan M Grimes; Billy T Lau; Jiamin Chen; Carlos Suarez; Robert J Huang; George Poultsides; Hanlee P Ji
Journal:  Clin Cancer Res       Date:  2020-02-14       Impact factor: 12.531

6.  Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments.

Authors:  Gregory J Kimmel; Mark Dane; Laura M Heiser; Philipp M Altrock; Noemi Andor
Journal:  Cancer Res       Date:  2020-09-16       Impact factor: 12.701

7.  Profiling Cell Type Abundance and Expression in Bulk Tissues with CIBERSORTx.

Authors:  Chloé B Steen; Chih Long Liu; Ash A Alizadeh; Aaron M Newman
Journal:  Methods Mol Biol       Date:  2020

8.  Single-cell RNA sequencing coupled to TCR profiling of large granular lymphocyte leukemia T cells.

Authors:  Shouguo Gao; Zhijie Wu; Bradley Arnold; Carrie Diamond; Sai Batchu; Valentina Giudice; Lemlem Alemu; Diego Quinones Raffo; Xingmin Feng; Sachiko Kajigaya; John Barrett; Sawa Ito; Neal S Young
Journal:  Nat Commun       Date:  2022-04-11       Impact factor: 14.919

9.  Single-cell analysis can define distinct evolution of tumor sites in follicular lymphoma.

Authors:  Sarah Haebe; Tanaya Shree; Anuja Sathe; Grady Day; Debra K Czerwinski; Susan M Grimes; HoJoon Lee; Michael S Binkley; Steven R Long; Brock Martin; Hanlee P Ji; Ronald Levy
Journal:  Blood       Date:  2021-05-27       Impact factor: 25.476

10.  Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels.

Authors:  Simon Anders; Sascha Dietrich; Tobias Roider; Julian Seufert; Alexey Uvarovskii; Felix Frauhammer; Marie Bordas; Nima Abedpour; Marta Stolarczyk; Jan-Philipp Mallm; Sophie A Herbst; Peter-Martin Bruch; Hyatt Balke-Want; Michael Hundemer; Karsten Rippe; Benjamin Goeppert; Martina Seiffert; Benedikt Brors; Gunhild Mechtersheimer; Thorsten Zenz; Martin Peifer; Björn Chapuy; Matthias Schlesner; Carsten Müller-Tidow; Stefan Fröhling; Wolfgang Huber
Journal:  Nat Cell Biol       Date:  2020-06-15       Impact factor: 28.213

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