Call for Papers

Advances in Synthetic Biology

Special issue in SLAS Technology – abstracts accepted until December 1, 2022!

Submit Proposal

SLAS Technology Guest Editor Shue Wang, Ph.D., invites the submission of abstracts on advances in synthetic biology for publication in a Special Issue. Wang is seeking high-quality, short-or full-length research reports, reviews, protocols and perspectives related to synthetic cell systems, gene circuits, cell-free expression systems, RNA regulation, metabolic engineering and nucleic acid engineering. Manuscripts are welcome from academia, industry, and vendors. Areas of particular interest include, but are not limited to:

  • Synthetic cell systems (protocells, artificial cell system)
  • Cell-free expression systems (Transcription-translation [TXTL])
  • Genetic circuit design and optimization
  • Metabolic engineering (design, construction, and optimization of native and non-natural routes of product synthesis)
  • RNA regulation (programming microRNA, mRNA in mammalian cells)
  • Computation methods for genetic system design
  • Nucleic acid engineering
  • Synthetic biology approaches in infectious diseases

Submit your proposal before December 1, 2022.  

All submitted papers will be subject to peer-review to ensure scientific rigor, clarity of expression and integration with other contributions in the SLAS Technology Special Issue.

Publication note: After submissions are accepted, they publish online within 30 days and become immediately searchable and citable with a DOI. 

Questions? Please e-mail ajump@slas.org or call +1.630.256.7527, ext. 106.

High-Content Imaging and Informatics: 3rd Annual Joint Special Issue with the Society for Biomolecular Imaging and Informatics (SBI2)

A special issue in SLAS Discovery – abstracts accepted until December 15, 2022!

Submit Proposal

Every year, the societies of SLAS and SBI2 publish a special collaborative issue covering a diverse set of topics that highlights the latest advances in high-content imaging and informatics. SLAS Discovery Guest Editors, Judi Wardwell (In Sphero), Gregory Way (University of Colorado) and SBI2 President Neil Carragher (University of Edinburgh) invite the submission of abstracts aligned with the topics of the SBI2 Biomolecular Imaging and Informatics annual meeting for publication in a 2023 special issue. Manuscript proposals and abstracts will be used to select and invite papers for publication consideration.

The editors seek high-quality research reports, reviews and perspectives to distribute at the 10th annual SBI2 meeting on Biomolecular Imaging and Informatics (September 2023).

Areas of particular interest include, but are not limited to:

  • Spatial image-omics and integration with data analysis tools.
  • Methods/descriptions supporting AI/ML analysis of images.
  • Perspectives on advances in high-content imaging assays.
  • Commentary on enhancing translatability of in vitro assays: imaging 3D, co-culture and organ-on-a-chip models.

Abstract submissions are welcome from academia, industry and exhibitors.

All submitted manuscripts will be subject to peer-review to ensure scientific rigor, clarity of expression and integration with the scope of the special issue. Submissions from SLAS members, non-members and especially attendees of the SBI2 High Content Meeting 2022 are welcomed!

Questions? Please e-mail SLAS Publications or call +1.630.256.7527, ext. 106.

Bioprinting the Future

A special issue in SLAS Technology – Manuscript submissions accepted until December 15, 2022!

Submit Manuscript

SLAS Technology Guest Editor(s) Prof. Roman Voronov, Ph.D., and Murat Guvendiren, Ph.D., from the Departments of Chemical and Materials Engineering, and Biomedical Engineering, at the New Jersey Institute of Technology, invite the submission of abstracts about novel advances and applications in bioprinting for publication in a 2023 Special Issue. SLAS Technology has a 3.047 2020 Impact Factor (3.124 5-Year Impact Factor) and selected authors participating in the Special Issue will have their Open Access fee waived. Manuscript proposals (abstracts) will be used to select and invite papers for review and publication consideration. 

Dr(s). Voronov and Guvendiren seek high-quality, short- or full-length research reports, reviews, and perspectives related to novel advances and applications in bioprinting. Manuscript proposals (abstracts) are welcome from academia, industry, and vendors. Areas of particular interest include, but are not limited to: 

  • Bioprinter Instrumentation & Innovative Technologies (e.g., 4D bioprinting)
  • Bioprinting Methods & Strategies 
  • Bioinks & Materials for 3D Printing 
  • Bioprinted Tissues & Organs 
  • Bioprinted Disease Models 
  • Bioprinting In Situ/In Vivo 
  • Bioprinting Applications (e.g., Printing in Space) 
  • Analysis of Bioprinted Constructs 
  • Mathematical Modeling of Bioprinting Processes 

Completed manuscripts are due by December 15. To submit your research in the special issue, select article type "SI: Bioprinting the Future" when submitting your manuscript.

All submitted papers will be subject to peer-review to ensure scientific rigor, clarity of expression and integration with other contributions in the SLAS Technology Special Issue.  

Publication note: After submissions are accepted, they typically publish online ahead-of-print within 30 days and become immediately searchable and citable with a DOI.  

Questions? Please e-mail ajump@slas.org or call +1.630.256.7527, ext. 106.

Advancement of Diverse RNA-Targeting Modalities

Special issue in SLAS Discovery – abstracts accepted until January 15, 2023!

Submit Proposal

SLAS Discovery Guest Editor(s) Matthew Disney, Ph.D. (The Scripps Research Institute), and Helen Lightfoot, Ph.D. (AstraZeneca), invite the submission of abstracts covering topics around the identification and optimization of RNA targeting modalities for publication in a 2023 Special Issue. Manuscript abstracts will be used to select and invite papers for review and publication consideration. SLAS Discovery seeks high-quality, short-or full-length research reports, reviews, protocols and perspectives related to discovery phase identification and scale profiling of modalities targeting RNA. Manuscripts are welcome from academia, industry and vendors. All submitted papers will be subject to peer-review to ensure scientific rigor, clarity of expression and integration with other contributions in the SLAS Discovery Special Issue. Areas of particular interest include, but are not limited to:

  • Screening platforms identifying small molecules targeting RNA (smRNA)  
  • Data analysis and/or computational protocols for smRNA high-throughput screening data including chemistry deep learning and AI approaches 
  • RNA kinetics, dynamics and modifications, and their application for smRNA drug discovery 
  • Approaches for identification of smRNA targets  
  • smRNA target engagement approaches
  • Translational investigations between smRNA in vitro and in cell hit identification/validation approaches 
  • Secondary Pharmacology (screening – wet lab or virtual) investigations into smRNA 
  • Methods for identification and validation (preclinical and/or clinical) of direct smRNA targeting relevant biomarkers 
  • Structure-guided approaches to smRNA directed drug discovery including computational methodologies as well as experimental techniques  
  • Approaches for identification and optimization of RNA degraders (i.e. RIBOTACS)
  • High-content RNA directed methodologies 
  • Examples of successful smRNA and RNA degrader drug discovery efforts and challenges  
  • Screening platforms identifying oligonucleotides targeting RNA 
  • Structure-directed off-target evaluations of oligonucleotides targeting RNA 
  • Approaches to identify and optimize small molecules which modulate proteins directly involved in RNA processing (for example, RNA methylation, adenylation, uridylation)

Submit your abstract before January 15, 2023.  

 

AI and Automation (A2) in Multiplexing Cellular and Tissue Imaging

Special issue in SLAS Technology – completed manuscripts accepted until March 1, 2023!

Submit Manuscript 

SLAS Technology Guest Editors Joe Yeong, (Group Leader Singapore General Hospital), Loo Lit-Hsin, (Senior PI, Bioinformatic Institute, A*STAR), and Colt Egelston, (Assistant Research Professor, City of Hope National Medical Center), invite the submission of abstracts relating to AI and Automation (A2) in cellular and tissue imaging for publication in a 2023 Special Issue.

SLAS Technology is seeking high-quality, short- or full-length research reports, reviews, and perspectives related to AI and Automation (A2) in cellular and tissue imaging. This includes the A2 perspectives of multiplex IHC/IF, spatial transcriptomics & proteomics, high-throughput screening, cell painting and other relevant topics. Manuscripts are welcome from academia, industry, and vendors. Areas of particular interest include: 

  • Analytic pipeline and algorithm of multiplex imaging assays 
  • Automation, standardization and upscaling the throughput of multiplex imaging assays 
  • High-dimensional analysis of multiplex imaging assays  
  • Biomarkers discovery by using multiplex imaging assays 
  • Spatial information of tumor immune micro-environment by using multiplex imaging assays 
  • Immuno-phenotyping by using multiplex imaging assays
  • Technical reproducibility of multiplex imaging assays
  • Comparison of multiplex imaging assays with other modalities such as conventional IHC, RNAseq, NanoString
  • Comparison of two or more multiplex imaging assays techniques (e.g. DNA barcoding vs fluorescence vs metal-conjugation) 
  • Clinical application and translation of biomarkers with multiplex imaging assays

Submit your manuscript before March 1, 2023.  

All submitted papers will be subject to peer-review to ensure scientific rigor, clarity of expression and integration with other contributions in the SLAS Technology Special Issue.

Publication note: After submissions are accepted, they are typically published online ahead-of-print within 30 days and become immediately searchable and citable with a DOI. 

Questions? Please e-mail ajump@slas.org or call +1.630.256.7527, ext. 106.