scholarly journals A Small Fraction of Progenitors Differentiate Into Mature Adipocytes by Escaping the Constraints on the Cell Structure

2021 ◽  
Vol 9 ◽  
Author(s):  
Mahmoud Ahmed ◽  
Trang Huyen Lai ◽  
Deok Ryong Kim
Keyword(s):  
Cell Cultures ◽  
Expression Profiles ◽  
Cell Structure ◽  
Gene Expression Profiles ◽  
Cell Types ◽  
Structural Constraints ◽  
Division Rate ◽  
Specific Expression ◽  
Gene Markers ◽  
Culture Cells

Differentiating 3T3-L1 pre-adipocytes are a mixture of non-identical culture cells. It is vital to identify the cell types that respond to the induction stimulus to understand the pre-adipocyte potential and the mature adipocyte behavior. To test this hypothesis, we deconvoluted the gene expression profiles of the cell culture of MDI-induced 3T3-L1 cells. Then we estimated the fractions of the sub-populations and their changes in time. We characterized the sub-populations based on their specific expression profiles. Initial cell cultures comprised three distinct phenotypes. A small fraction of the starting cells responded to the induction and developed into mature adipocytes. Unresponsive cells were probably under structural constraints or were committed to differentiating into alternative phenotypes. Using the same population gene markers, similar proportions were found in induced human primary adipocyte cell cultures. The three sub-populations had diverse responses to treatment with various drugs and compounds. Only the response of the maturating sub-population resembled that estimated from the profiles of the mixture. We then showed that even at a low division rate, a small fraction of cells could increase its share in a dynamic two-populations model. Finally, we used a cell cycle expression index to validate that model. To sum, pre-adipocytes are a mixture of different cells of which a limited fraction become mature adipocytes.

scholarly journals A small fraction of progenitors differentiate into mature adipocytes due to constraints on the cell structure change

2021 ◽  
Author(s):  
Mahmoud Ahmed ◽  
Trang Huyen Lai ◽  
Deok Ryong Kim
Keyword(s):  
Cell Cultures ◽  
Expression Profiles ◽  
Cell Structure ◽  
Gene Expression Profiles ◽  
Cell Types ◽  
Structural Constraints ◽  
Division Rate ◽  
Specific Expression ◽  
Gene Markers ◽  
Culture Cells

AbstractDifferentiating 3T3-L1 pre-adipocytes are a mixture of non-identical culture cells. It is vital to identify the cell types that respond to the induction stimulus to understand the pre-adipocyte potential and the mature adipocyte behavior. To test this hypothesis, we deconvoluted the gene expression profiles of the cell culture of MDI-induced 3T3-L1 cells. Then we estimated the fractions of the sub-populations and their changes in time. We characterized the sub-populations based on their specific expression profiles. Initial cell cultures comprised three distinct phenotypes. A small fraction of the starting cells responded to the induction and developed into mature adipocytes. Unresponsive cells were probably under structural constraints or were committed to differentiating into alternative phenotypes. Using the same population gene markers, similar proportions were found in induced human primary adipocyte cell cultures. The three sub-populations had diverse responses to treatment with various drugs and compounds. Only the response of the maturating sub-population resembled that estimated from the profiles of the mixture. We then showed that even at a low division rate, a small fraction of cells could increase its share in a dynamic two-populations model. Finally, we used a cell cycle expression index to validate that model. To sum, pre-adipocytes are a mixture of different cells of which a limited fraction become mature adipocytes.

scholarly journals Automated identification of the mouse brain’s spatial compartments from in situ sequencing data

BMC Biology ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Gabriele Partel ◽  
Markus M. Hilscher ◽  
Giorgia Milli ◽  
Leslie Solorzano ◽  
Anna H. Klemm ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mouse Brain ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cell Types ◽  
Sequencing Data ◽  
Tissue Samples ◽  
Gene Markers ◽  
Smooth Transitions

Abstract Background Neuroanatomical compartments of the mouse brain are identified and outlined mainly based on manual annotations of samples using features related to tissue and cellular morphology, taking advantage of publicly available reference atlases. However, this task is challenging since sliced tissue sections are rarely perfectly parallel or angled with respect to sections in the reference atlas and organs from different individuals may vary in size and shape and requires manual annotation. With the advent of in situ sequencing technologies and automated approaches, it is now possible to profile the gene expression of targeted genes inside preserved tissue samples and thus spatially map biological processes across anatomical compartments. Results Here, we show how in situ sequencing data combined with dimensionality reduction and clustering can be used to identify spatial compartments that correspond to known anatomical compartments of the brain. We also visualize gradients in gene expression and sharp as well as smooth transitions between different compartments. We apply our method on mouse brain sections and show that a fully unsupervised approach can computationally define anatomical compartments, which are highly reproducible across individuals, using as few as 18 gene markers. We also show that morphological variation does not always follow gene expression, and different spatial compartments can be defined by various cell types with common morphological features but distinct gene expression profiles. Conclusion We show that spatial gene expression data can be used for unsupervised and unbiased annotations of mouse brain spatial compartments based only on molecular markers, without the need of subjective manual annotations based on tissue and cell morphology or matching reference atlases.

scholarly journals Searching for new molecular markers for cells obtained from abdominal aortic aneurysm

2021 ◽  
Author(s):  
Marta Lesiak ◽  
Aleksandra Augusciak-Duma ◽  
Karolina L. Stepien ◽  
Agnieszka Fus-Kujawa ◽  
Malwina Botor ◽  
...  
Keyword(s):  
Gene Expression ◽  
Flow Cytometry ◽  
Cell Cultures ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cell Types ◽  
Isolated Cells ◽  
Healthy Human ◽  
Relative Expression ◽  
And Control

AbstractThe aim of the study was to investigate specific potential markers for cells obtained from three layers of human AAA divided into three segments along the AAA based on morphological differences. The isolated cells were compared to control commercial cell types from healthy human abdominal aortas. For each type of aortic layer, three specimens from 6 patients were compared. Total RNA was isolated from 36 cell cultures for gene expression profiling and potential new cytometry markers were typed. Isolated cells were analyzed by flow cytometry by using fluorochrome-conjugated antibodies to markers: CNN1, MYH10, ENG, ICAM2, and TEK. The relative expression of 45 genes in primary cell cultures and control lines was analyzed. Statistically significant differences were found in the expression of most of the analyzed genes between individual layers and control lines. Based on relative expression, antibodies were selected for flow cytometry. Gene expression profiles allowed to select new potential cytometry markers: CNN1, MYH10, MYOCD, ENG, ICAM2, TEK. However, none of the tested markers seems to be optimal and characteristic for a specific layer of AAA.

scholarly journals Single-cell RNA sequencing reveals the mesangial identity and species diversity of glomerular cell transcriptomes

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Bing He ◽  
Ping Chen ◽  
Sonia Zambrano ◽  
Dina Dabaghie ◽  
Yizhou Hu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Human Kidney ◽  
Cell Types ◽  
Model Organisms ◽  
Mural Cell ◽  
Glomerular Cell ◽  
Individual Gene ◽  
The Individual

AbstractMolecular characterization of the individual cell types in human kidney as well as model organisms are critical in defining organ function and understanding translational aspects of biomedical research. Previous studies have uncovered gene expression profiles of several kidney glomerular cell types, however, important cells, including mesangial (MCs) and glomerular parietal epithelial cells (PECs), are missing or incompletely described, and a systematic comparison between mouse and human kidney is lacking. To this end, we use Smart-seq2 to profile 4332 individual glomerulus-associated cells isolated from human living donor renal biopsies and mouse kidney. The analysis reveals genetic programs for all four glomerular cell types (podocytes, glomerular endothelial cells, MCs and PECs) as well as rare glomerulus-associated macula densa cells. Importantly, we detect heterogeneity in glomerulus-associated Pdgfrb-expressing cells, including bona fide intraglomerular MCs with the functionally active phagocytic molecular machinery, as well as a unique mural cell type located in the central stalk region of the glomerulus tuft. Furthermore, we observe remarkable species differences in the individual gene expression profiles of defined glomerular cell types that highlight translational challenges in the field and provide a guide to design translational studies.

scholarly journals Analyses of the pericyte transcriptome in ischemic skeletal muscles

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Yuan-chi Teng ◽  
Alfredo Leonardo Porfírio-Sousa ◽  
Giulia Magri Ribeiro ◽  
Marcela Corso Arend ◽  
Lindolfo da Silva Meirelles ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Vascular Endothelial Cells ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Limb Ischemia ◽  
Inflammatory Cells ◽  
Cell Types ◽  
Arterial Disease ◽  
The Body ◽  
Time Points

Abstract Background Peripheral arterial disease (PAD) affects millions of people and compromises quality of life. Critical limb ischemia (CLI), which is the most advanced stage of PAD, can cause nonhealing ulcers and strong chronic pain, and it shortens the patients’ life expectancy. Cell-based angiogenic therapies are becoming a real therapeutic approach to treat CLI. Pericytes are cells that surround vascular endothelial cells to reinforce vessel integrity and regulate local blood pressure and metabolism. In the past decade, researchers also found that pericytes may function as stem or progenitor cells in the body, showing the potential to differentiate into several cell types. We investigated the gene expression profiles of pericytes during the early stages of limb ischemia, as well as the alterations in pericyte subpopulations to better understand the behavior of pericytes under ischemic conditions. Methods In this study, we used a hindlimb ischemia model to mimic CLI in C57/BL6 mice and explore the role of pericytes in regeneration. To this end, muscle pericytes were isolated at different time points after the induction of ischemia. The phenotypes and transcriptomic profiles of the pericytes isolated at these discrete time points were assessed using flow cytometry and RNA sequencing. Results Ischemia triggered proliferation and migration and upregulated the expression of myogenesis-related transcripts in pericytes. Furthermore, the transcriptomic analysis also revealed that pericytes induce or upregulate the expression of a number of cytokines with effects on endothelial cells, leukocyte chemoattraction, or the activation of inflammatory cells. Conclusions Our findings provide a database that will improve our understanding of skeletal muscle pericyte biology under ischemic conditions, which may be useful for the development of novel pericyte-based cell and gene therapies.

Gene Expression Regulation underlying Osteo-, Adipo-, and Chondro-Genic Lineage Commitment of Human Mesenchymal Stem Cells

2013 ◽  
pp. 76-94 ◽  
Author(s):  
Ana M. Sotoca ◽  
Michael Weber ◽  
Everardus J. J. van Zoelen
Keyword(s):  
Gene Expression ◽  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Gene Expression Regulation ◽  
Expression Profiles ◽  
Human Mesenchymal Stem Cells ◽  
Gene Expression Profiles ◽  
Stem Cell Differentiation ◽  
Cell Types ◽  
Lineage Commitment

Human mesenchymal stem cells have a high potential in regenerative medicine. They can be isolated from a variety of adult tissues, including bone marrow, and can be differentiated into multiple cell types of the mesodermal lineage, including adipocytes, osteocytes, and chondrocytes. Stem cell differentiation is controlled by a process of interacting lineage-specific and multipotent genes. In this chapter, the authors use full genome microarrays to explore gene expression profiles in the process of Osteo-, Adipo-, and Chondro-Genic lineage commitment of human mesenchymal stem cells.

scholarly journals Breakdown of multiple sclerosis genetics to identify an integrated disease network and potential variant mechanisms

2019 ◽  
Vol 51 (11) ◽  
pp. 562-577
Author(s):  
C. Joy Shepard ◽  
Sara G. Cline ◽  
David Hinds ◽  
Seyedehameneh Jahanbakhsh ◽  
Jeremy W. Prokop
Keyword(s):  
Multiple Sclerosis ◽  
Immune Cell ◽  
Expression Profiles ◽  
Missense Variant ◽  
Cell Types ◽  
Tissue Expression ◽  
Specific Expression ◽  
Genomic Databases ◽  
Genetic Traits ◽  
Immune System Dysfunction

Genetics of multiple sclerosis (MS) are highly polygenic with few insights into mechanistic associations with pathology. In this study, we assessed MS genetics through linkage disequilibrium and missense variant interpretation to yield a MS gene network. This network of 96 genes was taken through pathway analysis, tissue expression profiles, single cell expression segregation, expression quantitative trait loci (eQTLs), genome annotations, transcription factor (TF) binding profiles, structural genome looping, and overlap with additional associated genetic traits. This work revealed immune system dysfunction, nerve cell myelination, energetic control, transcriptional regulation, and variants that overlap multiple autoimmune disorders. Tissue-specific expression and eQTLs of MS genes implicate multiple immune cell types including macrophages, neutrophils, and T cells, while the genes in neural cell types enrich for oligodendrocyte and myelin sheath biology. There are eQTLs in linkage with lead MS variants in 25 genes including the multitissue eQTL, rs9271640, for HLA-DRB1/ DRB5. Using multiple functional genomic databases, we identified noncoding variants that disrupt TF binding for GABPA, CTCF, EGR1, YY1, SPI1, CLOCK, ARNTL, BACH1, and GFI1. Overall, this paper suggests multiple genetic mechanisms for MS associated variants while highlighting the importance of a systems biology and network approach when elucidating intersections of the immune and nervous system.

scholarly journals TMOD-21. TARGETING ANAPLASTIC MENINGIOMA WITH PANOBINOSTAT IN PATIENT-DERIVED ORTHOTOPIC XENOGRAFT (PDOX) MODELS DERIVED FROM A MATCHING PAIR OF PRIMARY AND RECURRENT TUMORS

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi267-vi267
Author(s):  
Huiyuan Zhang ◽  
Lin Qi ◽  
Yuchen Du ◽  
Frank Braun ◽  
Mari Kogiso ◽  
...  
Keyword(s):  
Skull Base ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Small Animal ◽  
Tumor Formation ◽  
Anaplastic Meningioma ◽  
Culture Cells ◽  
Pathologic Features ◽  
Two Samples

Abstract BACKGROUND Meningioma is the most common brain tumor in adults. Despite the overall benign nature of meningioma, skull base tumors can be difficult to completely resect while others exhibit progression and aggressive profiles. The lack of clinically relevant animal models is blocking the development of novel therapies. MATERIAL AND METHODS Twelve surgical specimens (1 × 105) from 11 adult meningioma patients were implanted into the frontal cranial-base of the brain of SCID mice. Mice were then followed and assessed for tumor formation. Tumor growth was confirmed by small animal MRI. Pathologic features of the PDOX models and the matched patient tumors were compared with standard H&E and immunohistochemical staining. RNAseq was performed to examine the molecular fidelity of PDOX tumors and to identify new therapeutic targets. A panel of 60 clinically-relevant drugs was developed for screening drug sensitivity. In vivo examination of therapeutic efficacy of Panobinostat was performed in two models by treating preformed PDOX tumors with i.p. injection (10 mg/kg), 5 days on, 5 days off for 2 cycles. RESULTS Intracranial xenograft formation was confirmed in two samples derived from the same patient, the first an atypical meningioma (K029MEN-P) and the second, which progressed to anaplastic meningioma at recurrence (K029MEN-R). MRI scanning revealed that the PDOX tumors grew from the skull base. These patient tumor cells can be cryopreserved for long-term maintenance of tumorigenicity. The xenograft tumors replicated histopathological features of parental tumors. Overall gene expression profiles of PDOX were similar to the original patient tumors. Using MEN primary culture cells, we screened 60 drugs and identified 12 (20%) active compounds. Panobinostat also significantly prolonged survival of mice bearing orthotopic meningiomas. CONCLUSION A set of meningioma PDOX models derived from primary and recurrent tumor was established. Our data further demonstrate that panobinostat exerts potent antitumor activity against high-grade meningioma.

scholarly journals Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level

2020 ◽  
Vol 7 (5) ◽  
pp. 881-896 ◽  
Author(s):  
Dongxu He ◽  
Aiqin Mao ◽  
Chang-Bo Zheng ◽  
Hao Kan ◽  
Ka Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cell Types ◽  
The Body ◽  
Dietary Salt ◽  
High Fat ◽  
High Blood Glucose ◽  
Thoracic And Abdominal

Abstract The aorta, with ascending, arch, thoracic and abdominal segments, responds to the heartbeat, senses metabolites and distributes blood to all parts of the body. However, the heterogeneity across aortic segments and how metabolic pathologies change it are not known. Here, a total of 216 612 individual cells from the ascending aorta, aortic arch, and thoracic and abdominal segments of mouse aortas under normal conditions or with high blood glucose levels, high dietary salt, or high fat intake were profiled using single-cell RNA sequencing. We generated a compendium of 10 distinct cell types, mainly endothelial (EC), smooth muscle (SMC), stromal and immune cells. The distributions of the different cells and their intercommunication were influenced by the hemodynamic microenvironment across anatomical segments, and the spatial heterogeneity of ECs and SMCs may contribute to differential vascular dilation and constriction that were measured by wire myography. Importantly, the composition of aortic cells, their gene expression profiles and their regulatory intercellular networks broadly changed in response to high fat/salt/glucose conditions. Notably, the abdominal aorta showed the most dramatic changes in cellular composition, particularly involving ECs, fibroblasts and myeloid cells with cardiovascular risk factor-related regulons and gene expression networks. Our study elucidates the nature and range of aortic cell diversity, with implications for the treatment of metabolic pathologies.

KVα1 channels in murine arterioles: differential cellular expression and regulation of diameter

2001 ◽  
Vol 281 (3) ◽  
pp. H1057-H1065 ◽  
Author(s):  
A. Cheong ◽  
A. M. Dedman ◽  
S. Z. Xu ◽  
D. J. Beech
Keyword(s):  
Smooth Muscle ◽  
Smooth Muscle Cells ◽  
Expression Profiles ◽  
Second Messengers ◽  
Expression Patterns ◽  
Muscle Cells ◽  
Cell Types ◽  
Specific Expression ◽  
Major Function ◽  
Cellular Expression

The primary objectives of this study were to reveal cell-specific expression patterns and functions of voltage-gated K+ channel (KVα1) subunits in precapillary arterioles of the murine cerebral circulation. KVα1 were detected using peptide-specific antibodies in immunofluorescence and Western blotting assays. KV1.2 was localized almost exclusively to endothelial cells, whereas KV1.5 was discretely localized to the nerves and nerve terminals that innervate the arterioles. KV1.5 also localized specifically to arteriolar nerves in human pial membrane. KV1.5 was notable for its absence from smooth muscle cells. KV1.3, KV1.4, and KV1.6 were localized to endothelial and smooth muscle cells, although KV1.4 had a low expression level. KV1.1 was not expressed. Therefore, we show that different cell types of pial arterioles have distinct physiological expression profiles of KVα1, conferring the possibility of differential modulation by extracellular and second messengers. Furthermore, we show recombinant agitoxin-2 and margatoxin are potent vasoconstrictors, suggesting that KVα1 subunits have a major function in determining arteriolar resistance to blood flow.

Sign in / Sign up

Export Citation Format

Share Document