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Scientific Speaker Series 2023

Featured below are the presenters in the BINA Scientific Speaker series – click on their photos to learn more about each speaker’s presentation.

Follow this link to register to attend any of the talks in the series.  Visit the Scientific Speaker Series YouTube playlist to see past presentations.

Andres Nevarez – February 14

Delissa McMillen – March 14

Eunice Fabian-Morales – April 11

Alissa Armstrong – May 9

Chantell Evans – June 13

Paul Hernandez-Herrera – July 11

Crystal Rogers – August 8

Ana Paula Arruda – September 12

Adán Guerrero – October 10

Vanessa Torres – November 14

Andres Nevarez – February 14

MD Anderson Cancer Center, University of Texas

ORCiD
LinkedIn

Watch on YouTube: https://youtu.be/34n8URxc8yU

Presentation Title: Surveying the metastatic single-cell state

Abstract:
There is no genetic coding pattern among metastatic tumors pan-cancer. Identifying the roots of metastatic potential is crucial; to this end, we must identify metastatic phenotypes to identify the underlying drivers of the disease for targeted therapy. Using a morphology-first approach to understanding rare cell physiology, we can identify stereotypic and discrete properties of the rare cells in a diseased state that classical sequencing-first approaches may miss. We implemented label-free phase contrast imaging coupled with a generative neural network in combination with supervised machine learning to classify patient-derived melanoma xenografts, validate predictions regarding melanoma cell lines with unknown metastatic efficiency in mouse xenograft models, and use the network to generate in silico cell images that amplify the critical predictive cell properties. We found from subsequent in vivo mouse experiments that the samples with Telomerase promoter mutations (TPMs) had increased metastasis in the mice and were predicted to have increased metastatic potential from our deep-learned model. We developed isogenic cell lines, differing in only the TPM, and leveraged quantitative imaging cytometry and live cell imaging, revealing that the TPMs manifested differences in cell morphology and spatiotemporal variations in monolayer migration. These studies illustrate how quantitative imaging and artificial intelligence can identify important cellular properties and work top-down toward a hidden cell profile responsible for complex cell physiology.

Delissa McMillen – March 14

Allen Institute for Brain Science, Research Associate Supervisor

ORCiD
LinkedIn
Twitter

Watch on YouTube: https://youtu.be/E2REtuTNpYM

Presentation Title: Spatial Transcriptomics at the Allen Institute putting the where to the what

Abstract:
Founded in 2003 the Allen institute was founded on 3 core principles big science, team science, and open science. During that time, the institute has created a series of atlases that identified everything from cell types to gene expressions. With the release of the Allen Mouse brain atlas in 2004, the human brain atlas in 2010, and the Allen observatory in 2016. Now moving to producing a spatial transcriptomics whole mouse brain atlas. Each atlas is built upon the knowledge gained from the previous work. Now the spatial transcriptomics atlas builds on the single cell sequencing data. By leveraging team science to produce big science the institute can release all the data through open science. Using MERFISH and commercial imaging platforms the spatial transcriptomics team can put the where to the what. With the recent release of the paper “A high-resolution transcriptomic and spatial atlas of cell types in the mouse brain” we are learning more about cell types than ever before

Eunice Fabian-Morales – April 11

Advanced Microscopy Applications Unit (ADMiRA) at the National Cancer Institute of Mexico

ORCiD
LinkedIn
Twitter

Watch on YouTube: https://youtu.be/hYAYfBX9LBI

Presentation Title:
Super-resolution imaging, a powerful tool for the analysis of chromosome topology applied to the study of treatment resistance in cancer.

Abstract:
Chromosomes in interphase occupy a distinct, limited space within the nucleus, called chromosome territory (CT). It has been postulated that the non-random CT’s spatial organization within the cell nucleus contributes to the emergence of chromosome translocations. The consistent appearance of t(9;22) in pluripotent hematopoietic stem cells, apart from being the etiological factor for chronic myeloid leukemia (CML), is a clear example of what is considered a non-random chromosome aberration. This rearrangement leads to the fusion of BCR and ABL1 genes giving rise to a chimeric protein with constitutive kinase activity. Tyrosine kinase inhibitors (TKI), such as Imatinib, are used as first-line treatment for CML, though approximately 40% of CML patients do not respond to Imatinib.
In order to highlight the importance of spatial proximity, and evaluate the topological CT changes caused by t(9;22), before and after TKI treatment, we performed 3D-FISH of CT9 and CT22 in stem cells from CML patients followed by super-resolution microscopy, and image 3D reconstruction.
We found that resistance to TKI treatment in CML is characterized by high levels of CT9 and CT22 structural disruption, increased CT volumes (especially for CT22), increased intermingling between CT9 and CT22, and increased occupancy of H3K9ac, an open-chromatin epigenetic mark, in CT22.
Taken together, our findings suggest that CT9 and CT22 disruption is a potential predictive marker of response or non-response to therapy in CML, our results also provide novel insights into how the genome structure associates with the response to cancer treatments, highlighting the importance of microscopy in analyzing the topological features of the genome.

Alissa Armstrong – May 9

Armstrong Research Lab, University of South Carolina

Twitter
LinkedIn

Watch on YouTube: https://youtu.be/hYAYfBX9LBI

Presentation Title:
Inter-organ communication: uncovering molecular mechanisms that mediate adipose tissue control of oogenesis

Abstract:
Adult stem cells support tissue homeostasis and damage repair in a wide range of organisms. Physiological factors, like diet, influence the activity of adult stem cell populations, yet not enough is known about how inter-organ communication modulates stem cell responses to dynamic nutritional input. We leverage the power of Drosophila melanogaster genetics to uncover the cellular and molecular mechanisms that underlie fat-to-ovary communication about diet. The stem cell-supported ovary of Drosophila melanogaster females, which sustains robust reproductive capacity, is sensitive to dietary changes. Female flies fed suboptimal diets, e.g. protein-poor, high-sugar, or high-fat, display significantly reduced egg production rates; a response mediated by highly conserved nutrient-sensing pathways that function tissue autonomously and non-autonomously. We have shown that amino acid sensing pathways and insulin/insulin-like growth factor signaling (IIS) within adipocytes impact the ovarian germline stem cell lineage, including germline stem cell maintenance, germline survival, and ovulation. Interestingly, distinct signaling pathways downstream of nutrient sensing in adipocytes modulate different stages of oogenesis. Thus far, our work using adipocyte-specific manipulation of gene expression indicates that amino acid response pathway activity and mTOR signaling in adipocytes modulate translation of different factors that have specific effects on the germline stem cell lineage. Currently, we are using genetic and cell biological tools to answer two main questions – 1) what mechanisms do nutrient-sensing pathways use within adipocytes to relay dietary macronutrient information to ovarian stem cells and their progeny, and 2) how do adipose-derived factors communicate dietary status from the fat to the ovary? This work will illuminate how inter-organ communication coordinates organismal nutritional status with oocyte production and adult stem cell activity.

Chantell Evans – June 13

Evans Research Lab, Duke University

ORCiD
LinkedIn
Twitter

Watch on YouTube: https://youtu.be/VH12fCvkspQ

Presentation Title: Investigating mitochondria quality control dynamics in neuronal homeostasis and disease

Abstract:
Neurodegenerative diseases are characterized by the progressive structural and functional loss of neurons. A hallmark of these incurable diseases is the accumulation of aberrant mitochondria accompanied by increased mitochondrial stress and dysfunction, suggesting that mitochondrial dysregulation plays a role in disease progression. Emerging evidence from our work and others suggests that several mechanisms are required to maintain mitochondrial health. Mitophagy is one of these quality control pathways, where damaged mitochondria are selectively removed from the cell via autophagosome engulfment and downstream lysosomal acidification. Mitophagy appears important for neuronal homeostasis, and mutations in pathway components are causative of Parkinson’s disease and ALS. Here, we used live imaging to gain mechanistic insight into the temporal dynamics of mitophagy in primary neurons. We find that mild oxidative stress induces low levels of mitochondrial damage and mitophagy without compromising the entire neuronal network. To probe the time-course of neuronal mitophagy, we developed a pulse-chase labeling paradigm to monitor turnover based on spectrally distinct “aged” mitochondrial populations. Mitophagy-associated proteins, including Parkin, TBK1, and OPTN, rapidly translocated to depolarized mitochondria, and damaged organelles were efficiently sequestered in autophagosomes within an hour of damage. Surprisingly, we determined that damaged organelles persist in the soma of neurons for hours to days after initial mitochondrial insult. The time course of mitochondrial turnover was slower in neurons compared to non-neuronal cells, where we visualized rapid acidification of depolarized mitochondria an hour after the insult. We identified lysosome fusion and acidification to remove damaged mitochondria as a rate-limiting step in neuronal mitophagy. The slow rates of turnover that we describe likely contribute to the mitochondrial accumulation detected on early neurodegenerative disease onset.

Paul Hernandez-Herrera – July 11

Mexican National Laboratory for Advanced Microscopy

Webpage
Twitter
ORCiD

Watch on YouTube: https://youtu.be/XoIkGmw0BHg?si=xpW5bd2RFbgGd1Jj

Presentation Title: Deep learning for biomedical image analysis

Abstract:
Deep learning is a field of artificial intelligence that has revolutionized image analysis by achieving state-of-the-art performance in several tasks, such as image classification, object detection, and segmentation. During this talk, we will provide a brief overview of the fundamental concepts of deep learning and explain the U-Net architecture, which is frequently used for image segmentation tasks. Furthermore, we will showcase various applications of deep learning, such as sperm segmentation, nuclei segmentation, and trichome detection.

Crystal Rogers – August 8

Assistant Professor, University of California, Davis, School of Veterinary Medicine

Website
Twitter
LinkedIn

Watch on YouTube: https://youtu.be/8QxdM4fKNPA?si=N7Xn2AltgZ4R1D28

Presentation Title:
Conserved and Divergent Control of Neural Crest Formation and EMT Across Species

Abstract:
The formation and physical separation of the three ectodermally-derived cell types—the non-neural ectoderm (epidermis and placodes), the neural ectoderm (central nervous system, CNS), and the neural crest (NC)—occurs almost simultaneously during vertebrate development. This process coincides with dynamic changes in transcription factors that alter the expression of cell-cell adhesion molecules, which allow for the NC epithelial to mesenchymal transition (EMT). However, transcriptional control of cell adhesion is a slow process, and therefore cells must employ faster methods like intracellular trafficking to transport epithelial and migratory cell adhesion molecules (cadherins) to and from the membrane during EMT. Type I epithelial cadherins and type II migratory cadherins are expressed in distinct and overlapping patterns as NC cells undergo EMT. Specifically, neural cadherin (CDH2) is expressed in the CNS, but is absent from premigratory cranial NC cells, while epithelial cadherin (CDH1) and cadherin-11 (CDH11) are co-expressed as collective migration commences. We have identified that transcription factors work concurrently with β-III tubulin (TUBB3)-dependent microtubule-mediated trafficking mechanisms to regulate rapid changes in cadherin protein expression and localization to regulate development. Our long-term goal is to define an in vivo multi-mechanistic framework that regulates cell adhesion during NC cell EMT and CNS differentiation.

Ana Paula Arruda – September 12

Assistant Professor, Department of Nutritional Sciences and Toxicology, University of California, Berkeley

Website
Twitter

Watch on YouTube: https://youtu.be/CYKyFINI5dM?si=a1uyTU3uwcqT7klx

Presentation Title:
High resolution 3D imaging of liver subcellular organization in physiology and disease.

Abstract:
The liver is a hub of metabolism which robustly adapts to fluctuations in nutrient availability to maintain tissue and systemic homeostasis. Although hepatocytes within the liver are morphologically similar, these cells present distinct metabolic functional capacity depending on their spatial location in the liver lobe, a process called zonation. By using enhanced FIB-SEM combined with deep-learning based segmentation, we resolved the fine details of subcellular organization in liver cells in different nutritional states across the liver lobe. We found that in lean healthy mice, hepatic ER undergoes significant structural reorganization in fasting, and this remodeling is impaired in obese conditions. These findings show that hepatic ER’s architecture is dynamic, responds to changes in nutritional states and is critical for metabolic homeostasis and tissue health.

Adán Guerrero – October 10

Associate Professor, National Autonomous University of Mexico
National Laboratory for Advanced Microscopy

Twitter
ORCiD
Scopus Author ID: 24376432500

Watch on YouTube: https://youtu.be/2kTxA6ta0yA?si=m_U3wI2lDE4KtGZ1

Presentation Title: Single Frame Super-Resolution: Is it a Myth?

Abstract: Traditional optical microscopy has long been limited by the diffraction barrier in achieving high spatial resolution. While super-resolved fluorescence microscopy has achieved subdiffraction resolution using transient fluorophore states, computational methods have faced practical limitations, largely due to dependencies on accurate prior knowledge and signal-to-noise constraints. This study explores the mathematical properties of the Point Spread Function, emphasizing its role as a complex analytic function subject to power series decomposition, thereby offering a means for mitigating diffraction-induced distortions. We introduce the Mean Shift Super Resolution (MSSR) microscopy principle, a computational approach that enables recovery of object details beyond the diffraction limit by exploring the space of the second derivatives of the diffraction limited image. MSSR is effective across varying fluorophore densities, is optical setup-agnostic, and works with both isolated and time-series images. It surpasses existing super-resolution microscopy methods in denoising performance and attains a spatial resolution of 40 nm under optimized conditions. Its adaptability positions MSSR as a versatile tool for multidimensional and live cell imaging applications.

Vanessa Torres – November 14

Denali Therapeutics

LinkedIn

Presentation Title: Utilizing state-of-the-art imaging to study CNS delivery of the transport vehicle

Abstract:
The inability of large molecule therapeutics to cross the blood-brain barrier has remained a major obstacle for the treatment of neurological disorders. Numerous strategies have aimed to increase brain exposure of biotherapeutics; approaches which utilize transport across the BBB via the rich capillary network are expected to significantly increase exposure in the brain and additionally result in broad distribution throughout the brain. Our approach utilizes the Transport Vehicle (TV) which contains mutations in the Fc domain that confers binding to specific receptors highly expressed on brain endothelial cells. The TV-targeted receptors expressed on brain vascular endothelial cells enable transport of bound molecules across the BBB to reach target cells in the brain parenchyma. To gain insight on the biodistribution of the TV, we utilized advanced light microscopy to further our understanding of where TVs localize within whole organisms, specific brain regions, and subcellular brain structures. Our data reveal that TVs targeting different BBB receptors exhibit differentiated exposure kinetics and cellular localization. Thus, maximizing the use of advanced imaging techniques will undoubtedly provide meaningful insight into the CNS delivery of our various biotherapeutics utilizing the TV platform to treat neurological disease.

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