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IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-01
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引用次数: 0
IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":15199,"journal":{"name":"Journal of bioscience and bioengineering","volume":"141 4","pages":"Pages 230-236"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147100919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":15199,"journal":{"name":"Journal of bioscience and bioengineering","volume":"141 4","pages":"Pages 246-252"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147100921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":15199,"journal":{"name":"Journal of bioscience and bioengineering","volume":"141 4","pages":"Pages 237-245"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147100920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":15199,"journal":{"name":"Journal of bioscience and bioengineering","volume":"141 4","pages":"Pages 300-307"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147100927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":15199,"journal":{"name":"Journal of bioscience and bioengineering","volume":"141 1","pages":"Pages 37-44"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146663505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-01
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引用次数: 0
IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":15199,"journal":{"name":"Journal of bioscience and bioengineering","volume":"141 3","pages":"Pages 210-220"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146669233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sequential active learning for medium optimization in mAb production 单克隆抗体生产中介质优化的顺序主动学习。
IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-27 DOI: 10.1016/j.jbiosc.2025.12.002
Takamasa Hashizume , Koki Baba , Naoya Matsuo , Bei-Wen Ying
Monoclonal antibodies (mAbs) are key therapeutics for diseases like cancer and autoimmunity. The production of mAbs relies on cell culture, in which the culture medium for high productivity and activity is essential. Despite the traditional manual and advanced computational methodologies for medium optimization, it remains challenging to incorporate biological insights gained during cell culture experimentation into the optimization process. To address this issue, an active learning strategy that sequentially integrates machine learning predictions with experimental observations of biological meaningfulness was developed in the present study. Medium design and prediction were conducted with the combination of the design of experiment and two different machine learning models, to optimize the culture medium for Chinese hamster ovary (CHO) cells producing increased immunoglobulin G (IgG) titer. Using this approach, we iteratively adjusted the concentrations of 44 components in a serum-free medium and achieved a significant improvement in IgG monoclonal antibody production. Biological insights such as osmolality control and amino acid composition, which were not initially considered, were progressively incorporated into the data-driven optimization process. The proposed strategy is practical and effective, even under limited experimental resources, and offers a new direction for rational medium design in biopharmaceutical manufacturing.
单克隆抗体(mab)是治疗癌症和自身免疫等疾病的关键药物。单克隆抗体的生产依赖于细胞培养,其中具有高生产力和活性的培养基是必不可少的。尽管传统的人工和先进的计算方法用于培养基优化,但将细胞培养实验中获得的生物学见解纳入优化过程仍然具有挑战性。为了解决这个问题,本研究开发了一种主动学习策略,该策略将机器学习预测与生物学意义的实验观察相结合。采用实验设计和两种不同的机器学习模型相结合的方法进行培养基设计和预测,以优化中国仓鼠卵巢(CHO)细胞产生免疫球蛋白G (IgG)滴度的培养基。利用这种方法,我们在无血清培养基中反复调整44种组分的浓度,显著提高了IgG单克隆抗体的产量。生物学的见解,如渗透压控制和氨基酸组成,最初没有被考虑,逐步纳入数据驱动的优化过程。该策略在实验资源有限的情况下具有实用性和有效性,为生物制药生产中合理设计培养基提供了新的方向。
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引用次数: 0
Functionalized peptide hydrogel to generate human insulin-producing cells in vitro 功能化肽水凝胶体外生成人胰岛素生成细胞。
IF 2.9 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-23 DOI: 10.1016/j.jbiosc.2025.11.007
Brandhon F. Flores-Ibarra , Andrea I. Enríquez-Rodríguez , Kimberly P. Robles-Pablos , Beatriz A. Rodas-Junco , Waldo M. Argüelles-Monal , Luisa L. Silva-Gutiérrez , Refugio Pérez-González , Olga A. Patrón-Soberano , Carmen S. Rochín-Wong , Luis A. Castillo-Díaz
Type I diabetes is a chronic disease that affects people worldwide. When insulin administration is no longer effective, transplantation of pancreatic islets represents an alternative for diabetics. However, islet grafting carries limitations, which include poor availability of donors, surgery risks, and lifelong immunosuppressive therapy. To address this, novel approaches, such as the use of soft hydrogels as vehicles of cells are being developed for tissue grafting applications. Self-assembling peptide hydrogels (SAPHs) are biocompatible and versatile materials widely used for both, three-dimensional (3D) cell culture and regenerative medicine applications. Therefore, in this study, we explored the effect of the functionalization of the SAPH FEFEFKFKK (FEK9) with extracellular matrix (ECM) motifs, RGD, GFOGER and IKVAV, to support the directed differentiation of human dental pulp stem cells (hDPSCs) into insulin-producing cells (IPCs). The resulting ECM-functionalized FEK9 hydrogel was formed under mildly acidic conditions (pH 5–6). Infrared spectroscopy confirmed that ECM-FEK9 adopts a β-sheet secondary structure and forms a dense nanofibrillar network, while rheological measurements demonstrated the formation of a soft hydrogel. hDPSC cultured in hydrogel displayed steady viability and metabolism. Moreover, under directed induction, cells in ECM-FEK9 expressed β-cell markers, such as PDX-1 and Glut-2, as well as synthetized insulin within 10 days of 3D culture in vitro, as evidenced through fluorescence confocal microscopy and spectrophotometry evaluations, respectively. Therefore, ECM-FEK9 could be a promising candidate to support the culture of hDPSCs and the generation of IPCs after refinement of directed induction under 3D cell culture conditions.
1型糖尿病是一种影响全世界人民的慢性疾病。当胰岛素治疗不再有效时,胰岛移植是糖尿病患者的另一种选择。然而,胰岛移植有其局限性,包括供体缺乏、手术风险和终身免疫抑制治疗。为了解决这个问题,新的方法,如使用软水凝胶作为细胞载体,正在开发用于组织移植应用。自组装肽水凝胶(SAPHs)是一种生物相容性和多功能材料,广泛用于三维(3D)细胞培养和再生医学应用。因此,在本研究中,我们探索了SAPH FEFEFKFKK (FEK9)与细胞外基质(ECM)基序- RGD, GFOGER和IKVAV -功能化的作用,以支持人牙髓干细胞(hDPSCs)向胰岛素生成细胞(IPCs)的定向分化。得到的ecm功能化FEK9水凝胶在温和的酸性条件下(pH 5-6)形成。红外光谱证实ECM-FEK9采用β-片二级结构,形成致密的纳米纤维网络,而流变学测量表明形成了柔软的水凝胶。水凝胶培养的hDPSC表现出稳定的活力和代谢。此外,在定向诱导下,ECM-FEK9细胞在体外3D培养10天内分别通过荧光共聚焦显微镜和分光光度法评估,表达β细胞标记物,如PDX-1和Glut-2,并合成胰岛素。因此,ECM-FEK9可能是支持hdpsc培养和在3D细胞培养条件下定向诱导后生成IPCs的有希望的候选者。
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引用次数: 0
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Journal of bioscience and bioengineering
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