The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. Resources generated by LINCS include experimental and computational methods, visualization tools, molecular and imaging data, and signatures. By assembling an integrated picture of the range of responses of human cells exposed to many perturbations, the LINCS program aims to better understand human disease and to advance the development of new therapies. Perturbations under study include drugs, genetic perturbations, tissue micro-environments, antibodies, and disease-causing mutations. Responses to perturbations are measured by transcript profiling, mass spectrometry, cell imaging, and biochemical methods, among other assays. The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders. This Perspective describes LINCS technologies, datasets, tools, and approaches to data accessibility and reusability.

DNA cryptography is an emerging field of DNA computing research in information security world. Still this field is in theoretical stage and not in active practice. To overcome this lacuna the present study proposed a fast and secured hybrid algorithm using DES (Data Encryption Standard) with biological concept CDMB (Central Dogma of Molecular biology) developed and implemented in high level programming language. This edifice has enabled to do computations digitally and gave the high level of security, effectiveness and applicability.

One of the fundamental limitations in assessing potential efficacy in Central Nervous System (CNS) transplantation of stem cells is the capacity for monitoring cell survival and migration noninvasively and longitudinally. Human glial‐restricted progenitor (hGRP) cells (Q‐Cells) have been investigated for their utility in providing neuroprotection following transplantation into models of amyotrophic lateral sclerosis (ALS) and have been granted a Food and Drug Administration (FDA) Investigational New Drug (IND) for intraspinal transplantation in ALS patients. Furthermore, clinical development of these cells for therapeutic use will rely on the ability to track the cells using noninvasive imaging methodologies as well as the verification that the transplanted GRPs have disease‐relevant activity. As a first step in development, we investigated the use of a perfluorocarbon (PFC) dual‐modal (19F magnetic resonance imaging [MRI] and fluorescence) tracer agent to label Q‐Cells in culture and following spinal cord transplantation. PFCs have a number of potential benefits that make them appealing for clinical use. They are quantitative, noninvasive, biologically inert, and highly specific. In this study, we developed optimized PFC labeling protocols for Q‐Cells and demonstrate that PFCs do not significantly alter the glial identity of Q‐Cells. We also show that PFCs do not interfere with the capacity for differentiation into astrocytes either in vitro or following transplantation into the ventral horn of the mouse spinal cord, and can be visualized in vivo by hot spot 19F MRI. These studies provide a foundation for further preclinical development of PFCs within the context of evaluating Q‐Cell transplantation in the brain and spinal cord of future ALS patients using 19F MRI. Stem Cells Translational Medicine 2019;8:355–365

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