Research groups
Shankar Srinivas
PhD, MPhil, MA, BSc
Professor of Developmental Biology
- Academic Lead for Public Engagement
Shankar completed a BSc in Nizam College in Hyderabad, India. He then joined the group of Frank Costantini in Columbia University, New York, where he received a PhD for work on the molecular genetics of kidney development. Following this, he moved to the NIMR in Mill Hill, London, where he worked as a HFSPO fellow in the groups of Rosa Beddington and Jim Smith on how the anterior-posterior axis is established. Here, he developed time-lapse microscopy approaches to study early post-implantation mouse embryos, with which he characterised the active migration of cells of the Anterior Visceral Endoderm, a process essential for the correct orientation of the anterior posterior axis of the embryo. In 2004 Shankar started his independent group at the University of Oxford as a Wellcome Trust Career Development Fellow and as Zeitlyn Fellow and Tutor in Medicine at Jesus College. In 2016 he became Professor of Developmental Biology.
The research in Shankar’s group focuses on two main areas. The first is to understand how the coordinated cell movements that shape the early mammalian embryo prior to and during gastrulation are controlled. The second is to understand how the heart forms and starts to beat. Shankar’s group takes a multidisciplinary and collaborative approach to address these questions, using techniques spanning molecular genetics, lightsheet and confocal time-lapse imaging, single cell approaches, proteomics and embryo explant culture. Shankar is also passionate about science outreach. His group participates regularly in science festival, for which they have developed 3D printed models of developing embryos and a virtual reality based embryo and microscopy image volume explorer.
Further information can be found at Srinivas Research.
Key publications
Single-cell transcriptomic characterization of a gastrulating human embryo.
Journal article
Tyser RCV. et al, (2021), Nature, 600, 285 - 289
Characterization of a common progenitor pool of the epicardium and myocardium.
Journal article
Tyser RCV. et al, (2021), Science, 371
Calcium handling precedes cardiac differentiation to initiate the first heartbeat.
Journal article
Tyser RC. et al, (2016), Elife, 5
Nodal dependent differential localisation of dishevelled-2 demarcates regions of differing cell behaviour in the visceral endoderm.
Journal article
Trichas G. et al, (2011), PLoS Biol, 9
Use of the viral 2A peptide for bicistronic expression in transgenic mice.
Journal article
Trichas G. et al, (2008), BMC Biol, 6
ctive cell migration drives the unilateral movements of the anterior visceral endoderm.
Journal article
Srinivas S. et al, (2004), Development, 131, 1157 - 1164
Cre reporter strains produced by targeted insertion of EYFP and ECFP into the ROSA26 locus
Journal article
Srinivas S. et al, (2001), BMC Developmental Biology, 1, 1 - 8
Recent publications
Protocol for lattice light-sheet time-lapse imaging of early post-implantation mouse embryos.
Journal article
Thowfeequ S. et al, (2025), STAR Protoc, 6
Calcium signaling is required for anterior patterning in the mouse embryo.
Journal article
Stower MJ. et al, (2025), PLoS Biol, 23
Origin, fate and function of extraembryonic tissues during mammalian development.
Journal article
Thowfeequ S. et al, (2025), Nat Rev Mol Cell Biol, 26, 255 - 275
Chromatin remodeller Chd7 is developmentally regulated in the neural crest by tissue-specific transcription factors.
Journal article
Williams RM. et al, (2024), PLoS Biol, 22
n integrated approach identifies the molecular underpinnings of murine anterior visceral endoderm migration.
Journal article
Thowfeequ S. et al, (2024), Dev Cell, 59, 2347 - 2363.e9
Kaufman’s Atlas of Mouse Development Supplement
Book
Morriss-Kay G. and Srinivas S., (2024), 1 - 481
Establishment of early embryonic lineages and the basic body plan
Chapter
Srinivas S. and Watanabe T., (2024), 67 - 77
CIARA: a cluster-independent algorithm for identifying markers of rare cell types from single-cell sequencing data.
Journal article
Lubatti G. et al, (2023), Development, 150
CIARA: a cluster-independent algorithm for identifying markers of rare cell types from single-cell sequencing data.
Journal article
Lubatti G. et al, (2023), Development

