SDB Innovation Grant

The Society for Developmental Biology Innovation Grant was established in 2016 to provide seed funds for those seeking to develop innovative tools and methods with the potential to have a broad impact on the developmental biology community. This work can include devices, software, novel methods, or new reagents, but is not intended to support training or the application of existing technologies. Projects that would not necessarily be supported through other means are given preference.  Graduate student, postdoctoral fellow and full SDB members are all eligible.  Deadlines are December 1 and May 31.  (Please note, if two grants are awarded from the December 1 deadline, then we will not be taking applications for May 31. Therefore, we strongly advise you to submit your application by the December 1 deadline).

Submission Guidelines

2019 Recipient

Recipient Project

Priya Sivaramakrishnan
Postdoctoral Fellow,
University of Pennsylvania
Advisor: John Isaac Murray

A single cell ‘recent’ RNA-sequencing method to characterize the dynamic embryonic transcriptome
Rapid transcriptional changes are a characteristic feature of all developing systems that need to respond quickly to environmental and signaling cues. Temporal transcription patterns that drive embryonic cell fates are particularly hard to study due to their transient and dynamic nature. Single cell RNA-sequencing (scRNA-seq) estimates transcript levels in individual embryonic cells but provides only a snapshot of gene expression at a given time. Our goal is to combine metabolic labeling of mRNAs with scRNA-seq to specifically enrich for ‘recent’ transcription events to capture genome-wide transcription activities during embryogenesis. The rapid and invariant development of the Caenorhabditis elegans embryo provides an ideal system to perform temporal transcription measurements and study transcription kinetics in single cells. Our approach will be used to determine how specific transcription patterns translate into cell identities and can be applied to diverse organisms to characterize dynamic transcriptomes and quantify transcriptional responses to developmental perturbations.

Last Updated on 10/11/2019