13 papers · ranked by Valyu relevance
Rohan Lowe, Neil Shirley, Mark Bleackley, Stephen Dolan + 1 more
'Thomas Shafee'] Transcriptomics technologies are the techniques used to study an organism’s [transcriptome](), the sum of all of its [RNA transcripts](). The information content of an organism is recorded in the DNA of its [genome]() and [expressed]() through [transcription](). Here, [mRNA]() serves as a transient…
Parul Tyagi, Deeksha Singh, Shivangi Mathur, Ayushi Singh + 1 more
'Rajiv Ranjan'] Transcriptome sequencing or RNA-Sequencing is a high-resolution, sensitive and high-throughput next-generation sequencing (NGS) approach used to study non-model plants and other organisms. In other words, it is an assembly of RNA transcripts from individual or whole samples of functional and…
Tanner Stokes, Haoning Howard Cen, Philipp Kapranov, Iain J Gallagher + 7 more
'Iain J Gallagher' 'Andrew A. Pitsillides' 'Claude‐Henry Volmar' 'William E Kraus' 'James D. Johnson' 'Stuart M. Phillips' 'Claes Wahlestedt' 'James A. Timmons'] Title: Abstract Sequencing the human genome empowers translational medicine, facilitating transcriptome-wide molecular diagnosis, pathway biology, and drug…
Gabriel Dorado, Sergio Gálvez, Teresa E. Rosales, Víctor F. Vásquez + 1 more
'Pilar Hernández'] Recent developments have revolutionized the study of biomolecules. Among them are molecular markers, amplification and sequencing of nucleic acids. The latter is classified into three generations. The first allows to sequence small DNA fragments. The second one increases throughput, reducing…
Daniel J. Kliebenstein
Transcriptomics is a major platform to study organismal biology. The advent of new parallel sequencing technologies has opened up a new avenue of transcriptomics with ever deeper and deeper sequencing to identify and quantify each and every transcript in a sample. However, this may not be the best usage of the parallel…
Oskar Bruning, Han Rauwerda, Rob J Dekker, Wim C de Leeuw + 4 more
'Paul F K Wackers' 'Wim A Ensink' 'Martijs J Jonker' 'Timo M Breit'] We have collected several valuable lessons that will help improve transcriptomics experimentation. These lessons relate to experiment design, execution, and analysis. The cautions, but also the pointers, may help biologists avoid common pitfalls in…
Authors not listed
Mass spectrometry (MS) is a cornerstone technology in modern molecular biology, powering diverse applications across proteomics, metabolomics, lipidomics, glycomics, and beyond. As the field continues to evolve, rapid advancements in instrumentation, acquisition strategies, machine learning, and scalable computing have…
Navan Chauhan
COVID-19, has been officially labeled as a pandemic by the World Health Organisation. This paper presents cloperastine and vigabatrin as two possible drug candidates for combatting the disease along with the process by which they were discovered. The paper presents the discoveries made by using a connectivity map and…
Janet Sasso, Barbara Ambrose, Rumiana Tenchov, Ruchira Datta + 3 more
In the last decade, there has been a shift in research, clinical development, and commercial activity to exploit the many roles of RNA in physiology for use in medicine. With the rapid success in the development of lipid-RNA nanoparticles for mRNA vaccines against COVID-19 and with several approved RNA-based drugs, RNA…
Juerg Straubhaar, Alexandria D’Souza, Zachary Niziolek, Bogdan Budnik
Single-cell analysis has clearly established itself in biology and biomedical fields as an invaluable tool that allows one to comprehensively understand the relationship between cells, including their types, states, transitions, trajectories, and spatial position. Scientific methods such as fluorescence labeling…
Michael Lanzillotti, Jennifer Brodbelt
Mass spectrometry has proven to be a highly effective tool for characterization of RNA post-transcriptional modifications. For both synthetic RNAs and ones from biological sources, mass spectrometry can interrogate multiple, co-occurring covalent modifications at the nucleotide level simultaneously. To expand the…
Ulrich Pabst
The idea of peptide mass fingerprinting (PMF) was first introduced in 1989, when protein research was facing a serious issue with automated Edman-degradation taking nearly one hour per reaction cycle. There was a dire need for more streamlined and fast ways to analyse proteins and peptides. Since the first steps…
Authors not listed
Machine learning holds significant promise for accelerating biomarker discovery in clinical proteomics, yet its real-world impact remains limited by widespread methodological pitfalls and unrealistic expectations. In this perspective, we critically examine the integration of machine learning into clinical proteomics…