The functions of<i>Wt1</i>in mouse gonad development and somatic cells differentiation

Chen, Min; Cen, Changhuo; Wang, Nan; Shen, Zhiming; Wang, Mengyue; Liu, Bowen; Li, Jiayi; Cui, Xiuhong; Li, Han; Gao, Fei

doi:10.1093/biolre/ioac050

Cited by 11 publications

(12 citation statements)

References 53 publications

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“…Since HMMR has been associated with immune infiltration in many experiments, 45 studying transcription factors co‐expressed with it might be able to infer the connection from the cell surface to the nucleus. FOXC1 and WT1 Transcription Factor (WT1) 46 are transcription factors among the three co‐expressed genes, while TGFBR3 47 is a growth factor receptor. Furthermore, it is well known that the transcription factors such as AP‐1 are important regulators of the immune response 48 .…”

Section: Resultsmentioning

confidence: 99%

Identification of crosstalk genes relating to ECM‐receptor interaction genes in MASH and DN using bioinformatics and machine learning

Chen,

He,

et al. 2024

J Cellular Molecular Medi

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This study aimed to identify genes shared by metabolic dysfunction‐associated fatty liver disease (MASH) and diabetic nephropathy (DN) and the effect of extracellular matrix (ECM) receptor interaction genes on them. Datasets with MASH and DN were downloaded from the Gene Expression Omnibus (GEO) database. Pearson's coefficients assessed the correlation between ECM‐receptor interaction genes and cross talk genes. The coexpression network of co‐expression pairs (CP) genes was integrated with its protein–protein interaction (PPI) network, and machine learning was employed to identify essential disease‐representing genes. Finally, immuno‐penetration analysis was performed on the MASH and DN gene datasets using the CIBERSORT algorithm to evaluate the plausibility of these genes in diseases. We found 19 key CP genes. Fos proto‐oncogene (FOS), belonging to the IL‐17 signalling pathway, showed greater centrality PPI network; Hyaluronan Mediated Motility Receptor (HMMR), belonging to ECM‐receptor interaction genes, showed most critical in the co‐expression network map of 19 CP genes; Forkhead Box C1 (FOXC1), like FOS, showed a high ability to predict disease in XGBoost analysis. Further immune infiltration showed a clear positive correlation between FOS/FOXC1 and mast cells that secrete IL‐17 during inflammation. Combining the results of previous studies, we suggest a FOS/FOXC1/HMMR regulatory axis in MASH and DN may be associated with mast cells in the acting IL‐17 signalling pathway. Extracellular HMMR may regulate the IL‐17 pathway represented by FOS through the Mitogen‐Activated Protein Kinase 1 (ERK) or PI3K‐Akt–mTOR pathway. HMMR may serve as a signalling carrier between MASH and DN and could be targeted for therapeutic development.

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Section: Resultsmentioning

confidence: 99%

Identification of crosstalk genes relating to ECM‐receptor interaction genes in MASH and DN using bioinformatics and machine learning

Chen,

He,

et al. 2024

J Cellular Molecular Medi

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“…SCs have been widely applied in fundamental studies, such as facilitating the survival and proliferation of germ cells, ESCs and differentiation and growth of mesenchymal stem cells (Baazm et al, 2017; Chen et al, 2022). SCs can also be differentiated into human germ cells (R. Zhang, Chen, et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

“…SCs play important roles in male determination and male gonad development, and support the pluripotency maintenance of ESCs (Baazm et al, 2017;Miryounesi et al, 2013). This study revealed that SCs have been widely applied in fundamental studies, such as facilitating the survival and proliferation of germ cells, ESCs and differentiation and growth of mesenchymal stem cells (Baazm et al, 2017;Chen et al, 2022). SCs can also be differentiated into human germ cells (R. Zhang, Chen, et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Comparative analysis of porcine iPSCs derived from Sertoli cells and fibroblasts

Zhu

Shen

et al. 2022

Journal Cellular Physiology

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Porcine embryonic fibroblasts (PEFs) can be directly reprogrammed into porcine induced pluripotent stem cells (piPSCs). However, the reprogramming process is generally lengthy and inefficient. Here, we established a fast and efficient induction system of piPSCs from porcine Sertoli cells (SCs) via forced expression of pig Yamanaka factors. The alkaline phosphatase (AP)-positive colonies from SCs developed on Day 3 after lentivirus infection, and were expanded and then picked up on Day 7, whereas reprogramming process from PEFs did not show any colonies in the same period. The picked piPSCs strongly expressed pluripotent genes, had the differentiation capacity to three germ layers, and could be also induced into primordial germ cell-like cells. Screening for transcription factor combinations showed that POU class 5 homeobox 1 (OCT4) is the core factor for AP-positive colony formation, and two factors (OCT4 and c-MYC) could successfully reprogram SCs into piPSCs. We then compared the RNA-sequencing data of piPSCs derived from SCs and PEFs, and found that the most significant difference was the activation of Transforming Growth Factor β signaling pathway. We also compared the RNA levels of SCs and PEFs, and found that SCs exhibited higher Wnt signaling activity and Bone Morphogenetic Protein 4 expression than PEFs, which might be correlated with higher cell proliferation rate and reprogramming efficiency. In summary, the data demonstrated that starting cell sources of piPSCs significantly affect reprogramming dynamics and SCs could serve as cell sources for efficient reprogramming.

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“…5A). CL1, CL3, CL5, and CL8 were recognized as early GC (eGC) through high expression of WT1 [29], TNNI3 [25] and WNT6 [30], and the low expression of VCAN [31], Although we recognized these cells, the mapping condition was not ideal. Thus, we performed cell functions analysis with GO and KEGG (Fig.…”

Section: Gc Subtype Identi Cation and Developmental Trajectory Of She...mentioning

confidence: 94%

Single-cell sequencing reveals the reproductive variations between primiparous and multiparous Hu ewes

Wen

et al. 2023

Preprint

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In the modern sheep production systems, the reproductive performance of ewes determines the economic profitability of farming. Revealing the genetic mechanisms underlying differences in the litter size is important for the selection and breeding of highly prolific ewes. Hu sheep is a high-quality Chinese sheep breed with high fecundity and it is an ideal model for investigating prolificacy traits. In the current study, animals were divided into two groups according to their delivery rates in three consecutive lambing seasons (namely, the High-reproduction and lowly reproductive groups with ≥ 3 lambs and one lamb per season, respectively). Three ewes were randomly picked from each group and slaughtered within 12 h of estrus, and unilateral ovarian tissues were collected and analyzed by single-cell RNA sequencing. A total of five types of somatic cells were identified and corresponding expression profiles were mapped in the ovaries of each group. Noticeably, the differences in the ovary somatic cell expression profiles between the High-reproduction and lowly reproductivegroups were mainly clustered in the granulosa cells, a cell line that is significantly relevant to female prolificacy. In addition, four granulosa cell subtypes were identified. GeneSwitches revealed that the abundance of the JPH1 expression and the reduction of the LOC101112291 expression could lead to different evolutionary directions of the granulosa cells. The expression levels of FTH1 and FTL in GCs of the Highly reproductive group were significantly higher, which inhibited necroptosis and ferroptosis of mural GCs from decreasing follicular atresia. This study constructed the gene expression atlas of the sheep ovary and revealed related biological characteristics at the cellular and molecular levels. It also provides a theoretical basis for the mechanisms underlying the differences in ovulation numbers, which will be helpful for breeding and molecular genetics-based selection of highly prolific ewes.

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The functions ofWt1in mouse gonad development and somatic cells differentiation

Cited by 11 publications

References 53 publications

Identification of crosstalk genes relating to ECM‐receptor interaction genes in MASH and DN using bioinformatics and machine learning

Identification of crosstalk genes relating to ECM‐receptor interaction genes in MASH and DN using bioinformatics and machine learning

Comparative analysis of porcine iPSCs derived from Sertoli cells and fibroblasts

Single-cell sequencing reveals the reproductive variations between primiparous and multiparous Hu ewes

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