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1.
JCI Insight ; 7(9)2022 05 09.
Artículo en Inglés | MEDLINE | ID: mdl-35316217

RESUMEN

BACKGROUNDImmune cell profiling of primary and metastatic CNS tumors has been focused on the tumor, not the tumor microenvironment (TME), or has been analyzed via biopsies.METHODSEn bloc resections of gliomas (n = 10) and lung metastases (n = 10) were analyzed via tissue segmentation and high-dimension Opal 7-color multiplex imaging. Single-cell RNA analyses were used to infer immune cell functionality.RESULTSWithin gliomas, T cells were localized in the infiltrating edge and perivascular space of tumors, while residing mostly in the stroma of metastatic tumors. CD163+ macrophages were evident throughout the TME of metastatic tumors, whereas in gliomas, CD68+, CD11c+CD68+, and CD11c+CD68+CD163+ cell subtypes were commonly observed. In lung metastases, T cells interacted with CD163+ macrophages as dyads and clusters at the brain-tumor interface and within the tumor itself and as clusters within the necrotic core. In contrast, gliomas typically lacked dyad and cluster interactions, except for T cell CD68+ cell dyads within the tumor. Analysis of transcriptomic data in glioblastomas revealed that innate immune cells expressed both proinflammatory and immunosuppressive gene signatures.CONCLUSIONOur results show that immunosuppressive macrophages are abundant within the TME and that the immune cell interactome between cancer lineages is distinct. Further, these data provide information for evaluating the role of different immune cell populations in brain tumor growth and therapeutic responses.FUNDINGThis study was supported by the NIH (NS120547), a Developmental research project award (P50CA221747), ReMission Alliance, institutional funding from Northwestern University and the Lurie Comprehensive Cancer Center, and gifts from the Mosky family and Perry McKay. Performed in the Flow Cytometry & Cellular Imaging Core Facility at MD Anderson Cancer Center, this study received support in part from the NIH (CA016672) and the National Cancer Institute (NCI) Research Specialist award 1 (R50 CA243707). Additional support was provided by CCSG Bioinformatics Shared Resource 5 (P30 CA046592), a gift from Agilent Technologies, a Research Scholar Grant from the American Cancer Society (RSG-16-005-01), a Precision Health Investigator Award from University of Michigan (U-M) Precision Health, the NCI (R37-CA214955), startup institutional research funds from U-M, and a Biomedical Informatics & Data Science Training Grant (T32GM141746).


Asunto(s)
Neoplasias Encefálicas , Glioblastoma , Neoplasias Pulmonares , Neoplasias Encefálicas/patología , Sistema Nervioso Central/metabolismo , Glioblastoma/patología , Humanos , Neoplasias Pulmonares/patología , Macrófagos/metabolismo , Factor de Transcripción STAT3/metabolismo , Microambiente Tumoral , Estados Unidos
2.
Sci Rep ; 10(1): 10905, 2020 07 02.
Artículo en Inglés | MEDLINE | ID: mdl-32616766

RESUMEN

The primary auditory cortex (A1) plays a key role for sound perception since it represents one of the first cortical processing stations for sounds. Recent studies have shown that on the cellular level the frequency organization of A1 is more heterogeneous than previously appreciated. However, many of these studies were performed in mice on the C57BL/6 background which develop high frequency hearing loss with age making them a less optimal choice for auditory research. In contrast, mice on the CBA background retain better hearing sensitivity in old age. Since potential strain differences could exist in A1 organization between strains, we performed comparative analysis of neuronal populations in A1 of adult (~ 10 weeks) C57BL/6 mice and F1 (CBAxC57) mice. We used in vivo 2-photon imaging of pyramidal neurons in cortical layers L4 and L2/3 of awake mouse primary auditory cortex (A1) to characterize the populations of neurons that were active to tonal stimuli. Pure tones recruited neurons of widely ranging frequency preference in both layers and strains with neurons in F1 (CBAxC57) mice exhibiting a wider range of frequency preference particularly to higher frequencies. Frequency selectivity was slightly higher in C57BL/6 mice while neurons in F1 (CBAxC57) mice showed a greater sound-level sensitivity. The spatial heterogeneity of frequency preference was present in both strains with F1 (CBAxC57) mice exhibiting higher tuning diversity across all measured length scales. Our results demonstrate that the tone evoked responses and frequency representation in A1 of adult C57BL/6 and F1 (CBAxC57) mice are largely similar.


Asunto(s)
Corteza Auditiva/fisiología , Estimulación Acústica , Animales , Corteza Auditiva/fisiopatología , Cadherinas/deficiencia , Cadherinas/genética , Cruzamientos Genéticos , Potenciales Evocados Auditivos , Ratones , Ratones Endogámicos C57BL , Ratones Endogámicos CBA , Ratones Transgénicos , Microscopía Confocal , Neuroimagen/métodos , Presbiacusia/genética , Presbiacusia/fisiopatología , Células Piramidales/fisiología
3.
Cell Rep ; 18(5): 1100-1108, 2017 01 31.
Artículo en Inglés | MEDLINE | ID: mdl-28147267

RESUMEN

Autism spectrum disorder (ASD) involves deficits in speech and sound processing. Cortical circuit changes during early development likely contribute to such deficits. Subplate neurons (SPNs) form the earliest cortical microcircuits and are required for normal development of thalamocortical and intracortical circuits. Prenatal valproic acid (VPA) increases ASD risk, especially when present during a critical time window coinciding with SPN genesis. Using optical circuit mapping in mouse auditory cortex, we find that VPA exposure on E12 altered the functional excitatory and inhibitory connectivity of SPNs. Circuit changes manifested as "patches" of mostly increased connection probability or strength in the first postnatal week and as general hyper-connectivity after P10, shortly after ear opening. These results suggest that prenatal VPA exposure severely affects the developmental trajectory of cortical circuits and that sensory-driven activity may exacerbate earlier, subtle connectivity deficits. Our findings identify the subplate as a possible common pathophysiological substrate of deficits in ASD.


Asunto(s)
Corteza Auditiva/fisiopatología , Trastorno del Espectro Autista/fisiopatología , Animales , Corteza Auditiva/metabolismo , Modelos Animales de Enfermedad , Femenino , Masculino , Ratones , Neuronas/metabolismo , Neuronas/fisiología , Tálamo/metabolismo , Tálamo/fisiopatología , Ácido Valproico/metabolismo
4.
J Neurosci ; 27(48): 13279-91, 2007 Nov 28.
Artículo en Inglés | MEDLINE | ID: mdl-18045922

RESUMEN

We studied the effects of electrically microstimulating a gaze-control area in the owl's forebrain, the arcopallial gaze fields (AGFs), on the responsiveness of neurons in the optic tectum (OT) to visual and auditory stimuli. Microstimulation of the AGF enhanced the visual and auditory responsiveness and stimulus discriminability of OT neurons representing the same location in space as that represented at the microstimulation site in the AGF. At such OT sites, AGF microstimulation also sharpened auditory receptive fields and shifted them toward the location represented at the AGF stimulation site. At the same time, AGF microstimulation suppressed the responsiveness of OT neurons that represented visual or auditory stimuli at other locations in space. The top-down influences of this forebrain gaze-control area on sensory responsiveness in the owl OT are strikingly similar to the space-specific regulation of visual responsiveness in the monkey visual cortex produced by voluntary attention as well as by microstimulation of the frontal eye fields. This experimental approach provides a means for discovering mechanisms that underlie the top-down regulation of sensory responses.


Asunto(s)
Percepción Auditiva/fisiología , Neuronas/fisiología , Estrigiformes/fisiología , Colículos Superiores/citología , Percepción Visual/fisiología , Estimulación Acústica/métodos , Potenciales de Acción/fisiología , Animales , Mapeo Encefálico , Relación Dosis-Respuesta en la Radiación , Estimulación Eléctrica/métodos , Modelos Neurológicos , Estimulación Luminosa/métodos , Tiempo de Reacción/fisiología , Sensibilidad y Especificidad , Estadísticas no Paramétricas , Colículos Superiores/fisiología
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