Cell Membrane-Coated Electrospun Fibers Enhance Keratinocyte Growth through Cell-Type Specific Interactions

2021 ◽  
Author(s):  
Wai Hon Chooi ◽  
Quanbin Dong ◽  
Jeremy Zhi Yan Low ◽  
Clement Yuen ◽  
Jiah Shin Chin ◽  
...  
Keyword(s):  
Cell Membrane ◽  
Electrospun Fibers ◽  
Specific Interactions ◽  
Cell Type ◽  
Cell Type Specific

scholarly journals Cell-type-specific interactions at regulatory motifs in the first intron of the lamin A gene

FEBS Letters ◽  
2004 ◽  
Vol 568 (1-3) ◽  
pp. 122-128 ◽  
Author(s):  
Puneeta Arora ◽  
Bh Muralikrishna ◽  
Veena K Parnaik
Keyword(s):  
Lamin A ◽  
Specific Interactions ◽  
Cell Type ◽  
Regulatory Motifs ◽  
First Intron ◽  
Cell Type Specific

scholarly journals ‘Chromatic’ Neuronal Jamming in a Primitive Brain

2018 ◽  
Author(s):  
Margarita Khariton ◽  
Xian Kong ◽  
Jian Qin ◽  
Bo Wang
Keyword(s):  
Cell Types ◽  
Physical Contact ◽  
Specific Interactions ◽  
Cell Type ◽  
Cell Diversity ◽  
Multiple Cell ◽  
Cell Type Specific ◽  
Inanimate Matter ◽  
The Brain ◽  
Jammed State

ABSTRACTJamming models developed in inanimate matter have been widely used to describe cell packing in tissues1–7, but predominantly neglect cell diversity, despite its prevalence in biology. Most tissues, animal brains in particular, comprise a mix of many cell types, with mounting evidence suggesting that neurons can recognize their respective types as they organize in space8–11. How cell diversity revises the current jamming paradigm is unknown. Here, in the brain of the flatworm planarian Schmidtea mediterranea, which exhibits remarkable tissue plasticity within a simple, quantifiable nervous system12–16, we identify a distinct packing state, ‘chromatic’ jamming. Combining experiments with computational modeling, we show that neurons of distinct types form independent percolating networks barring any physical contact. This jammed state emerges as cell packing configurations become constrained by cell type-specific interactions and therefore may extend to describe cell packing in similarly complex tissues composed of multiple cell types.

scholarly journals Genoppi: an open-source software for robust and standardized integration of proteomic and genetic data

2020 ◽  
Author(s):  
Greta Pintacuda ◽  
Frederik H. Lassen ◽  
Yu-Han H. Hsu ◽  
April Kim ◽  
Jacqueline M. Martín ◽  
...  
Keyword(s):  
Open Source ◽  
Protein Interactions ◽  
General Pattern ◽  
Genetic Data ◽  
Specific Protein ◽  
Specific Interactions ◽  
Cell Type ◽  
Statistical Framework ◽  
Cell Type Specific ◽  
Human Ipsc

AbstractCombining genetic and cell-type-specific proteomic datasets can lead to new biological insights and therapeutic hypotheses, but a technical and statistical framework for such analyses is lacking. Here, we present an open-source computational tool called Genoppi that enables robust, standardized, and intuitive integration of quantitative proteomic results with genetic data. We used Genoppi to analyze sixteen cell-type-specific protein interaction datasets of four proteins (TDP-43, MDM2, PTEN, and BCL2) involved in cancer and neurological disease. Through systematic quality control of the data and integration with published protein interactions, we show a general pattern of both cell-type-independent and cell-type-specific interactions across three cancer and one human iPSC-derived neuronal type. Furthermore, through the integration of proteomic and genetic datasets in Genoppi, our results suggest that the neuron-specific interactions of these proteins are mediating their genetic involvement in neurodevelopmental and neurodegenerative diseases. Importantly, our analyses indicate that human iPSC-derived neurons are a relevant model system for studying the involvement of TDP-43 and BCL2 in amyotrophic lateral sclerosis.

scholarly journals Cell type-specific interactions of transcription factors with a housekeeping promoterin vivo

1993 ◽  
Vol 21 (10) ◽  
pp. 2465-2471 ◽  
Author(s):  
Genevieve Stapleton ◽  
Maria Patrizia Somma ◽  
Patrizia Lavia
Keyword(s):  
Transcription Factors ◽  
Specific Interactions ◽  
Cell Type ◽  
Cell Type Specific

scholarly journals Genoppi is an open-source software for robust and standardized integration of proteomic and genetic data

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Greta Pintacuda ◽  
Frederik H. Lassen ◽  
Yu-Han H. Hsu ◽  
April Kim ◽  
Jacqueline M. Martín ◽  
...  
Keyword(s):  
Open Source ◽  
Protein Interactions ◽  
General Pattern ◽  
Neuronal Cell ◽  
Genetic Data ◽  
Specific Protein ◽  
Specific Interactions ◽  
Cell Type ◽  
Cell Type Specific ◽  
Human Ipsc

AbstractCombining genetic and cell-type-specific proteomic datasets can generate biological insights and therapeutic hypotheses, but a technical and statistical framework for such analyses is lacking. Here, we present an open-source computational tool called Genoppi (lagelab.org/genoppi) that enables robust, standardized, and intuitive integration of quantitative proteomic results with genetic data. We use Genoppi to analyze 16 cell-type-specific protein interaction datasets of four proteins (BCL2, TDP-43, MDM2, PTEN) involved in cancer and neurological disease. Through systematic quality control of the data and integration with published protein interactions, we show a general pattern of both cell-type-independent and cell-type-specific interactions across three cancer cell types and one human iPSC-derived neuronal cell type. Furthermore, through the integration of proteomic and genetic datasets in Genoppi, our results suggest that the neuron-specific interactions of these proteins are mediating their genetic involvement in neurodegenerative diseases. Importantly, our analyses suggest that human iPSC-derived neurons are a relevant model system for studying the involvement of BCL2 and TDP-43 in amyotrophic lateral sclerosis.

IFIH1-deficiency results in a cell-type specific alteration of autophagic activity in response to S. typhimurium

2017 ◽  
Vol 55 (05) ◽  
pp. e28-e56
Author(s):  
S Macheiner ◽  
R Gerner ◽  
A Pfister ◽  
A Moschen ◽  
H Tilg
Keyword(s):  
Cell Type ◽  
A Cell ◽  
Cell Type Specific ◽  
Autophagic Activity ◽  
Specific Alteration
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