Project description:We investigated the effects of different sample preparation factors on RNA-seq experiments, including RNA concentration, library storage time, and cryopreserved condition, by comparing their sequencing biases, gene expression profiles, and biological function using primary B cell and CD4+ cell blood samples in healthy subjects.
Project description:DNA replication occurs in a defined temporal order known as the replication-timing (RT) program. RT is regulated during development in discrete chromosomal units, coordinated with transcriptional activity and 3D genome organization. Here, we developed a sample preparation method to measure RT genome-wide that does not require fixation.
Project description:For mass spectrometry-based proteomics, the selected sample preparation strategy is a key determinant for information that will be obtained. However, the corresponding selection is often not based on a fit-for-purpose evaluation. Here we report a comparison of in-gel (IGD), in-solution (ISD), on-filter (OFD), and on-pellet digestion (OPD) workflows on the basis of targeted (QconCAT-multiple reaction monitoring (MRM) method for mitochondrial proteins) and discovery proteomics (data dependent acquisition, DDA) analyses using three different human head and neck tissues (i.e. nasal polyps, parotid gland, and palatine tonsils). Our study reveals differences between the sample preparation methods, for example with respect to protein and peptide losses, quantification variability, protocol-induced methionine oxidation and asparagine/glutamine deamidation as well as identification of cysteine containing peptides. Moreover, none of the methods performed best for all types of tissues, which seemingly argues against the existence of a universal sample preparation method for proteome analysis.
Project description:In this work, we propose a new high-throughput ultrafast method for large scale proteomics approaches by speeding the classic filter aided sample preparation protocol, FASP. The new US-FASP method matches the analytical minimalism roles as time, cost, sample requirement, reagent consumption, energy requirements and production of waste products are reduced to a minimum while maintaining high sample throughput in a robust manner as all the advantages of the filter aided sample preparation protocol are maintained.