Special issue in SLAS Discovery – completed manuscripts accepted until April 30, 2026.
The special issue welcomes high-quality short- or full-length research reports, reviews, and perspectives related to high-content screening (HCS), imaging (HCI), analysis (HCA) and Informatics.
Guest Editors:
Evgeny Shlevkov, PhD
Lieber Institute for Brain Development and Johns Hopkins School of Medicine
Paul A. Johnston, PhD
University of Pittsburgh
John Moffat, PhD
Genentech
The Society for Biomolecular Imaging and Informatics (SBI2) is an international community of leaders, scientists, and students that promotes technological advancement, discovery, and education to quantitatively interrogate biological models and provide high-context information at the cellular level. SBI2 is collaborating with SLAS Discovery to publish the 4th joint special issue featuring high-quality short- or full-length research reports, reviews, and perspectives on high-content screening (HCS), imaging (HCI), analysis (HCA) and Informatics. Manuscript submissions are welcome from academia, industry and technology providers.
Areas of interest include, but are not limited to HCS/HCA/HCI applications for:
Keywords:
Lead generation, phenomics, cell painting, live cell kinetics, bright field imaging & analysis, machine learning analysis, AI-based Image analysis.
Submit your manuscript before April 30, 2026. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Discovery Special Issue contributions.
Questions? Please e-mail SLAS Publishing Manager Jenny Cunningham.
Special issue in SLAS Technology – completed manuscripts accepted until April 30, 2026.
This special issue on system genetics looks at networks of interactions among genes, proteins, and other molecular components.
Guest editors:
Ankit Vidyarthi, PhD
Jaypee Institute of Information Technology, Noida
Mufti Mahmud
Nottingham Trent University (NTU)
Priyanka Verma, PhD
University of Limerick
Mourad Elloumi
University of Bisha
Systems genetics endeavors to understand how genetic diversity translates into phenotypic diversity. This involves studying how information is transmitted from the genome through RNA and proteins and beyond. Inspired by early genetic studies in model organisms and humans demonstrating that complex traits – such as height and obesity – are influenced by many loci, systems genetics attempts to explain such variation at the organism level and,critically, how this is influenced by environmental diversity as well as non-genetic and nonenvironmental factors. There is also the challenge of dissecting how biological networks in
different organs communicate with each other to determine organism homeostasis. Systems genetics relies on the comprehensive multi-omics analysis of cells, tissues and organs, and attempts to integrate the information embedded in these networks so that we can better understand complex human diseases and other complex biological problems that remain somewhat intractable.
This special issue on system genetics looks at networks of interactions among genes, proteins, and other molecular components. This field has been propelled by advances in high-throughput technologies, like next-generation sequencing (NGS) and single-cell RNA sequencing, which allow researchers to capture comprehensive data on genetic variations and expression profiles across entire genomes. This call also integrates genomic, transcriptomic, proteomic, and epigenomic data, providing insights into how networks of genes influence phenotypic outcomes. High-throughput sequencing technologies and single-cell multi-omics are also under the scope of this call, which made it possible to dissect gene regulation at unprecedented resolution, revealing interactions across different cellular contexts. Such approaches will be really impactful in personalized medicine, where patient-specific genetic data can inform more precise treatment options. Integration of multi-omic datasets within systems genetics has also been included in this call, which illuminates how non-coding regions and epigenetic markers contribute to gene regulation, thus opening doors for new therapeutic targets and biomarker discovery.
Another key advancement we can target with this call is that CRISPR and other gene-editing technologies have been instrumental in validating genetic findings in model organisms and providing functional insights into gene networks. The scope of the special issue concerns the creation and implementation of novel technologies and methods for solving problems in system genetics and genetic neurodevelopmental disorders.
Contributions from various engineering, scientific, academic and research are invited to submit the following article types:
Submit your manuscript before April 30, 2026. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Technology Special Issue contributions.
Questions? Please e-mail SLAS Publishing Manager Jenny Cunningham.
Special issue in SLAS Technology – completed manuscripts accepted until December 31, 2026.
We invite researchers, scientists, and industry experts to submit articles on work related to NexusXp: The Connected Lab, also known as the lab of the future, cloud lab or walk-away lab.
Guest Editors:
Kalpesh Gupta, PhD
Moderna
Mario Richter, PhD
Abbvie
Mohit Goel, MS
Modern
We are excited to announce a special edition on “NexusXp: The Connected Lab” in the field of lab automation. This edition aims to explore cutting-edge advancements, innovative technologies, and visionary concepts shaping the future of laboratories. We invite researchers, scientists, and industry experts to submit their original research papers, case studies and review articles.
Topics of interest include, but are not limited to:
Submit your manuscript before December 31, 2026. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Technology Special Issue contributions.
Questions? Please e-mail SLAS Publishing Manager Jenny Cunningham.
