Cell diversity and organization in the neural tube depend on the integration of extrinsic signals acting along orthogonal axes. These are believed to specify distinct cellular identities by triggering all-or-none changes in expression of combinations of transcription factors. Under the influence of a common dorsoventral signal, sonic hedgehog, and distinct anterior-posterior (A-P) inductive signals, two topographically related progenitor pools that share a common transcriptional code produce serotonergic and V3 neurons in the hindbrain and spinal cord, respectively. These neurons have different physiological properties, functions, and connectivity. Serotonergic involvement in neuropsychiatric diseases has prompted greater characterization of their postmitotic repertoire of fate determinants, which include Gata2, Lmx1b, and Pet1, whereas V3 neurons express Sim1. How distinct serotonergic and V3 neuronal identities emerge from progenitors that share a common transcriptional code is not understood. Here, we show that changes in retinoid activity in these two progenitor pools determine their fates. Retinoids, via Notch signaling, control the expression level in progenitors of the transcription factor Ascl1, which selects serotonergic and V3 neuronal identities in a dose-dependent manner. Therefore, quantitative differences in the expression of a single component of a transcriptional code can select distinct cell fates.
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http://dx.doi.org/10.1016/j.cub.2013.01.046 | DOI Listing |
Transl Androl Urol
December 2024
Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Background: Bladder cancer (BCa) is the most common neoplasm of the urinary system, and its high rates of progression and recurrence contribute to a generally poor prognosis, especially in advanced cases. It is reported that disulfidptosis is closely related with tumor proliferation. We aimed to construct a disulfidptosis-associated long non-coding RNA (lncRNA) signature that can predict prognosis and immune microenvironment in BCa.
View Article and Find Full Text PDFNature
January 2025
Frontiers Medical Center, Tianfu Jincheng Laboratory, Chengdu, China.
Identifying phase-separated structures remains challenging, and effective intervention methods are currently lacking. Here we screened for phase-separated proteins in breast tumour cells and identified forkhead (FKH) box protein M1 (FOXM1) as the most prominent candidate. Oncogenic FOXM1 underwent liquid-liquid phase separation (LLPS) with FKH consensus DNA element, and compartmentalized the transcription apparatus in the nucleus, thereby sustaining chromatin accessibility and super-enhancer landscapes crucial for tumour metastatic outgrowth.
View Article and Find Full Text PDFClin Exp Med
January 2025
The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Upon stimulation and activation, mast cells (MCs) release soluble mediators, including histamine, proteases, and cytokines. These mediators are often stored within cytoplasmic granules in MCs and may be released in a granulated form. The secretion of cytokines and chemokines occurs within hours following activation, with the potential to result in chronic inflammation.
View Article and Find Full Text PDFComb Chem High Throughput Screen
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Thoracic and Abdominal Radiotherapy Department I, Meizhou People's Hospital, Meizhou 514031, Guangdong, China.
Background: TSPOAP1 antisense RNA 1 (TSPOAP1-AS1) is a long non-coding RNA (lncRNA) that has received widespread attention in oncology research in recent years. Its role and mechanism in some cancers have gradually been revealed. However, it is not clear what role TSPOAP1-AS1 plays in cervical cancer (CESC).
View Article and Find Full Text PDFGenome Med
January 2025
Blizard Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK.
Background: Senescence classification is an acknowledged challenge within the field, as markers are cell-type and context dependent. Currently, multiple morphological and immunofluorescence markers are required. However, emerging scRNA-seq datasets have enabled an increased understanding of senescent cell heterogeneity.
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