Marla Glass

Dr. Marla Glass

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2020 in Immunity
Verified
Journal Article
Open access
DGDavid R. Glass
David R. Glass
ATAlbert G. Tsai
Albert G. Tsai
JOJohn Paul Oliveria
John Paul Oliveria
FHFelix J. Hartmann
Felix J. Hartmann
SKSamuel C. Kimmey
Samuel C. Kimmey
SBSean C. Bendall
Sean C. Bendall
B cells are capable of a wide range of effector functions including antibody secretion, antigen presentation, cytokine production, and generation of immunological memory. A consistent strategy for classifying human B cells by using surface molecules is essential to harness this functional diversity for clinical translation. We developed a highly multiplexed screen to quantify the co-expression of 351 surface molecules on millions of human B cells. We identified differentially expressed molecules and aligned their variance with isotype usage, VDJ sequence, metabolic profile, biosynthesis activity, and signaling response. Based on these analyses, we propose a classification scheme to segregate B cells from four lymphoid tissues into twelve unique subsets, including a CD45RB+CD27- early memory population, a class-switched CD39+ tonsil-resident population, and a CD19hiCD11c+ memory population that potently responds to immune activation. This classification framework and underlying datasets provide a resource for further investigations of human B cell identity and function.

29 October 2025 in Nature
Verified
Journal Article
Open access
PDF file
QGQiuyu Gong
Qiuyu Gong
MSMehul Sharma
Mehul Sharma
MGMarla Glass
Marla Glass
EKEmma L. Kuan
Emma L. Kuan
ACAishwarya Chander
Aishwarya Chander
CGClaire E. Gustafson
Claire E. Gustafson
The generation and maintenance of immunity is a dynamic process that is dependent on age1,2,3. Here, to better understand its progression, we profiled peripheral immunity in more than 300 healthy adults (25 to 90 years of age) using single-cell RNA sequencing, proteomics and flow cytometry, following 96 adults longitudinally across 2 years with seasonal influenza vaccination. The resulting resource generated a single-cell RNA-sequencing dataset of more than 16 million peripheral blood mononuclear cells with 71 immune cell subsets from our Human Immune Health Atlas and enabled us to interrogate how immune cell composition and states shift with age, chronic viral infection and vaccination. From these data, we demonstrate robust, non-linear transcriptional reprogramming in T cell subsets with age that is not driven by systemic inflammation or chronic cytomegalovirus infection. This age-related reprogramming led to a functional T helper 2 (TH2) cell bias in memory T cells that is linked to dysregulated B cell responses against highly boosted antigens in influenza vaccines. Collectively, this study reveals unique features of the immune ageing process that occur prior to advanced age and provides novel targets for age-related immune modulation. We provide interactive tools for exploring this extensive human immune health resource at https://apps.allenimmunology.org/aifi/insights/dynamics-imm-health-age/.

19 April 2022 in Cell Reports
Verified
Journal Article
Open access
MGMarla Glass
Marla Glass
DGDavid R. Glass
David R. Glass
JOJohn-Paul Oliveria
John-Paul Oliveria
BMBerenice Mbiribindi
Berenice Mbiribindi
CECarlos O. Esquivel
Carlos O. Esquivel
OMOlivia M. Martinez
Olivia M. Martinez
Regulatory B cells (Bregs) suppress immune responses through the secretion of interleukin-10 (IL-10). This immunomodulatory capacity holds therapeutic potential, yet a definitional immunophenotype for enumeration and prospective isolation of B cells capable of IL-10 production remains elusive. Here, we simultaneously quantify cytokine production and immunophenotype in human peripheral B cells across a range of stimulatory conditions and time points using mass cytometry. Our analysis shows that multiple functional B cell subsets produce IL-10 and that no phenotype uniquely identifies IL-10+ B cells. Further, a significant portion of IL-10+ B cells co-express the pro-inflammatory cytokines IL-6 and tumor necrosis factor alpha (TNFα). Despite this heterogeneity, operationally tolerant liver transplant recipients have a unique enrichment of IL-10+, but not TNFα+ or IL-6+, B cells compared with transplant recipients receiving immunosuppression. Thus, human IL-10-producing B cells constitute an induced, transient state arising from a diversity of B cell subsets that may contribute to maintenance of immune homeostasis.

24 September 2025 in Science Translational Medicine
Verified
Journal Article
Closed access
ZHZiyuan He
Ziyuan He
MGMarla Glass
Marla Glass
PVPravina Venkatesan
Pravina Venkatesan
MFMarie L. Feser
Marie L. Feser
LLLeander Lazaro
Leander Lazaro
MGMark A. Gillespie
Mark A. Gillespie
Rheumatoid arthritis (RA) is preceded by an at-risk stage of disease that can be marked by the presence of anticitrullinated protein antibodies (ACPAs) but the absence of clinically apparent synovitis (clinical RA). Preemptive intervention in at-risk individuals could prevent or delay future tissue damage; however, the immunobiology of this stage is unclear. Using integrative multiomics, we longitudinally profiled at-risk individuals, where one-third of participants developed clinical RA on study. We found evidence of systemic inflammation and signatures of activation in naïve T and B cells of at-risk individuals. During progression to clinical RA, proinflammatory skewing of atypical B cells and expansion of memory CD4 T cells with signatures of activation and B cell help were present without elevations in circulating ACPA titers. Epigenetic changes in naïve CD4 T cells suggested a predisposition to differentiate into effector cells capable of B cell help. These findings characterize pathogenesis of the ACPA + at-risk stage and support the concept that the disease begins much earlier than clinical RA. Additionally, an extensive immune resource of the at-risk stage and progression to clinical RA with interactive tools was developed to enable further investigation.

14 September 2024 in bioRxiv
Verified
Preprint
Open access
PDF file
QGQiuyu Gong
Qiuyu Gong
MSMehul Sharma
Mehul Sharma
EKEmma L. Kuan
Emma L. Kuan
MGMarla Glass
Marla Glass
ACAishwarya Chander
Aishwarya Chander
CGClaire E. Gustafson
Claire E. Gustafson
Summary: The generation and maintenance of protective immunity is a dynamic interplay between host and environment that is impacted by age. Understanding fundamental changes in the healthy immune system that occur over a lifespan is critical in developing interventions for age-related susceptibility to infections and diseases. Here, we use multi-omic profiling (scRNA-seq, proteomics, flow cytometry) to examined human peripheral immunity in over 300 healthy adults, with 96 young and older adults followed over two years with yearly vaccination. The resulting resource includes scRNA-seq datasets of >16 million PBMCs, interrogating 71 immune cell subsets from our new Immune Health Atlas. This study allows unique insights into the composition and transcriptional state of immune cells at homeostasis, with vaccine perturbation, and across age. We find that T cells specifically accumulate age-related transcriptional changes more than other immune cells, independent from inflammation and chronic perturbation. Moreover, impaired memory B cell responses to vaccination are linked to a Th2-like state shift in older adults’ memory CD4 T cells, revealing possible mechanisms of immune dysregulation during healthy human aging. This extensive resource is provided with a suite of exploration tools at https://apps.allenimmunology.org/aifi/insights/dynamics-imm-health-age/ to enhance data accessibility and further the understanding of immune health across age.

23 August 2022 in G3: Genes, Genomes, Genetics
Verified
Journal Article
Open access
PDF file
RGRonald M Goto
Ronald M Goto
CWCharles David Warden
Charles David Warden
Takashi ShiinaTakashi Shiina
Takashi Shiina
KHKazuyoshi Hosomichi
Kazuyoshi Hosomichi
Jibin ZhangJibin Zhang
Jibin Zhang
MMMarcia M Miller
Marcia M Miller
MHCY is a second major histocompatibility complex-like gene region in chickens originally identified by the presence of major histocompatibility complex class I-like and class II-like gene sequences. Up to now, the MHCY gene region has been poorly represented in genomic sequence data. A high density of repetitive sequence and multiple members of several gene families prevented the accurate assembly of short-read sequence data for MHCY. Identified here by single-molecule real-time sequencing sequencing of BAC clones for the Gallus gallus Red Jungle Fowl reference genome are 107 MHCY region genes (45 major histocompatibility complex class I-like, 41 c-type-lectin-like, 8 major histocompatibility complex class IIβ, 8 LENG9-like, 4 zinc finger protein loci, and a single only zinc finger-like locus) located amid hundreds of retroelements within 4 contigs representing the region. Sequences obtained for nearby ribosomal RNA genes have allowed MHCY to be precisely mapped with respect to the nucleolar organizer region. Gene sequences provide insights into the unusual structure of the MHCY class I molecules. The MHCY class I loci are polymorphic and group into 22 types based on predicted amino acid sequences. Some MHCY class I loci are full-length major histocompatibility complex class I genes. Others with altered gene structure are considered gene candidates. The amino acid side chains at many of the polymorphic positions in MHCY class I are directed away rather than into the antigen-binding groove as is typical of peptide-binding major histocompatibility complex class I molecules. Identical and nearly identical blocks of genomic sequence contribute to the observed multiplicity of identical MHCY genes and the large size (>639 kb) of the Red Jungle Fowl MHCY haplotype. Multiple points of hybridization observed in fluorescence in situ hybridization suggest that the Red Jungle Fowl MHCY haplotype is made up of linked, but physically separated genomic segments. The unusual gene content, the evidence of highly similar duplicated segments, and additional evidence of variation in haplotype size distinguish polymorphic MHCY from classical polymorphic major histocompatibility complex regions.