We have used a modified CaMV 35S promoter to direct the expression of chimaeric genes encoding human serum albumin (HSA) in transgenic potato and tobacco plants. To secrete the protein, either the human prepro-sequence or the signal sequence from the extracellular tobacco protein PR-S was used. We demonstrate secretion of HSA with both types of signal sequences in transgenic leaf tissue and in suspension cultures. HSA produced in transgenic potato plants was purified to chromatographic homogeneity. N-terminal amino acid sequence analysis revealed that the processing of the precursor protein was dependent on the type of signal sequence. Expression of the human preproHSA gene lead to partial processing of the precursor and secretion of proHSA. Fusion of HSA to the plant PR-S presequence resulted in cleavage of the presequence at its natural site and secretion of correctly processed HSA that is indistinguishable from the authentic human protein.
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http://dx.doi.org/10.1038/nbt0390-217 | DOI Listing |
Nat Commun
January 2025
Department of Information Technology and Electrical Engineering, ETH Zürich, Zurich, Switzerland.
Searching for similar genomic sequences is an essential and fundamental step in biomedical research. State-of-the-art computational methods performing such comparisons fail to cope with the exponential growth of genomic sequencing data. We introduce the concept of sparsified genomics where we systematically exclude a large number of bases from genomic sequences and enable faster and memory-efficient processing of the sparsified, shorter genomic sequences, while providing comparable accuracy to processing non-sparsified sequences.
View Article and Find Full Text PDFNMR Biomed
February 2025
Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation, Vijayawada, India.
The uncommon growth of cells in the brain is termed as brain tumor. To identify chronic nerve problems, like strokes, brain tumors, multiple sclerosis, and dementia, brain magnetic resonance imaging (MRI) is normally utilized. Identifying the tumor on early stage can improve the patient's survival rate.
View Article and Find Full Text PDFChemistry
January 2025
Janssen Pharmaceutica NV, chemcial process R&D, BELGIUM.
The manuscript describes the development of an efficient synthetic route to cinnolines, facilitating faster access to JNJ-8003 related Respiratory Syncytial Virus (RSV) non-nucleoside (NNI) inhibitors. Starting from correctly functionalized aryl halides, a Sonogashira reaction followed by SNAr reaction with hydrazine 1,2-dicabroxylate reagents provided dihydrocinnolines directly via in situ 6-endo-dig cyclization. The dihydrocinnolines were conveniently transformed to corresponding cinnolines in one step.
View Article and Find Full Text PDFTher Adv Drug Saf
January 2025
Department of Epidemiology, Biostatistics and Health Data, Centre Antoine Lacassagne, Nice, France.
Background: Reporting serious adverse events (SAEs) is crucial to reduce or avoid toxicities that can lead to major consequences for patient's health due to treatments tested in clinical trials. Its exhaustiveness is often inadequate, and we observe discrepancies between data published by pharmacovigilance organizations and clinical databases.
Objectives: While the process of reconciliation aims at reducing these differences, it remains a very time-consuming and imprecise task.
Cardiovasc Diabetol
January 2025
Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
Background: The aim of this study was to investigate the difference between perceived and calculated diabetes risks among post-myocardial infarction (AMI) patients using the Finnish Diabetes Risk Score (FINDRISC).
Methods: The study population includes individuals from the Myocardial Infarction Registry in Augsburg, Germany, who had not been previously diagnosed with diabetes and who received a postal follow-up questionnaire after hospital discharge. A total of 466 participants completed the questionnaire, which collected information on age, sex, body mass index (BMI), waist circumference, physical activity, eating habits, use of antihypertensive medication, previous hyperglycemia, and family history of diabetes.
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