Papers by Abhishek Aditham
bioRxiv (Cold Spring Harbor Laboratory), Sep 28, 2022
The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation... more The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation of cellular physiology. However, it remains a major challenge to systematically study mRNA translation at the transcriptomic scale with spatial and single-cell resolutions. Here, we report the development of RIBOmap, a three-dimensional (3D) in situ profiling method to detect mRNA translation for thousands of genes simultaneously in intact cells and tissues. By applying RIBOmap to 981 genes in HeLa cells, we revealed remarkable dependency of translation on cellcycle stages and subcellular localization. Furthermore, we profiled single-cell translatomes of 5,413 genes in the adult mouse brain tissue with a spatial cell atlas of 62,753 cells. This spatial translatome profiling detected widespread patterns of localized translation in neuronal and glial cells in intact brain tissue networks. Together, RIBOmap presents the first spatially resolved single-cell translatomics technology, accelerating our understanding of protein synthesis in the context of subcellular architecture, cell types, and tissue anatomy. .
Proceedings of the National Academy of Sciences of the United States of America, Mar 25, 2019
Nature Communications, Jul 5, 2019
Type III-A CRISPR-Cas systems are prokaryotic RNA-guided adaptive immune systems that use a prote... more Type III-A CRISPR-Cas systems are prokaryotic RNA-guided adaptive immune systems that use a protein-RNA complex, Csm, for transcription-dependent immunity against foreign DNA. Csm can cleave RNA and single-stranded DNA (ssDNA), but whether it targets one or both nucleic acids during transcription elongation is unknown. Here, we show that binding of a Thermus thermophilus (T. thermophilus) Csm (TthCsm) to a nascent transcript in a transcription elongation complex (TEC) promotes tethering but not direct contact of TthCsm with RNA polymerase (RNAP). Biochemical experiments show that both TthCsm and Staphylococcus epidermidis (S. epidermidis) Csm (SepCsm) cleave RNA transcripts, but not ssDNA, at the transcription bubble. Taken together, these results suggest that Type III systems primarily target transcripts, instead of unwound ssDNA in TECs, for immunity against double-stranded DNA (dsDNA) phages and plasmids. This reveals similarities between Csm and eukaryotic RNA interference, which also uses RNA-guided RNA targeting to silence actively transcribed genes.
Nature Communications, Oct 8, 2021
Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulat... more Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulation in complex tissues. In situ transcriptomic methods generate spatially resolved RNA profiles in intact tissues. However, there is a lack of a unified computational framework for integrative analysis of in situ transcriptomic data. Here, we introduce an unsupervised and annotation-free framework, termed ClusterMap, which incorporates the physical location and gene identity of RNAs, formulates the task as a point pattern analysis problem, and identifies biologically meaningful structures by density peak clustering (DPC). Specifically, ClusterMap precisely clusters RNAs into subcellular structures, cell bodies, and tissue regions in both two-and three-dimensional space, and performs consistently on diverse tissue types, including mouse brain, placenta, gut, and human cardiac organoids. We demonstrate Clus-terMap to be broadly applicable to various in situ transcriptomic measurements to uncover gene expression patterns, cell niche, and tissue organization principles from images with high-dimensional transcriptomic profiles.
ACS Chemical Biology, Jan 7, 2022
mRNA has recently been established as a new class of therapeutics, due to its programmability and... more mRNA has recently been established as a new class of therapeutics, due to its programmability and ability to produce proteins of interest rapidly in vivo. Despite its demonstrated utility, mRNA as a protein expression platform remains limited by its translational capacity and RNA stability. Here, we introduce messenger-oligonucleotide conjugated RNAs (mocRNAs) to enable site-specific, robust, and modularized encoding of chemical modifications for highly efficient and stable protein expression. In mocRNA constructs, chemically synthesized oligonucleotides are ligated to the 3′ terminus of mRNA substrates to protect poly(A) tails from degradation, without compromising their potency in stimulating translation. As a proof-of-concept, mocRNAs modified by deadenylase-resistant oligonucleotides result in augmented protein production by factors of 2−4 in human HeLa cells and by 10-fold in primary rat cortical neuronal cultures. By directly linking enzymatic and organic synthesis of mRNA, we envision that the mocRNA design will open new avenues to expand the chemical space and translational capacity of RNA-based vectors in basic research and therapeutic applications.
The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation... more The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation of cellular physiology. However, it remains a major challenge to systematically study mRNA translation at the transcriptomic scale with spatial and single-cell resolutions. Here, we report the development of RIBOmap, a three-dimensional (3D) in situ profiling method to detect mRNA translation for thousands of genes simultaneously in intact cells and tissues. By applying RIBOmap to 981 genes in HeLa cells, we revealed remarkable dependency of translation on cell-cycle stages and subcellular localization. Furthermore, we profiled single-cell translatomes of 5,413 genes in the adult mouse brain tissue with a spatial cell atlas of 62,753 cells. This spatial translatome profiling detected widespread patterns of localized translation in neuronal and glial cells in intact brain tissue networks. Together, RIBOmap presents the first spatially resolved single-cell translatomics technology, accele...
mRNA has recently been established as a new class of therapeutics, due to its programmability and... more mRNA has recently been established as a new class of therapeutics, due to its programmability and ability to produce proteins of interest rapidly in vivo. Despite its demonstrated utility, mRNA as a protein expression platform remains limited by its translational capacity and RNA stability. Here, we introduce messenger-oligonucleotide conjugated RNAs (mocRNAs) to enable site-specific, robust, and modularized encoding of chemical modifications for highly efficient and stable protein expression. In mocRNA constructs, chemically synthesized oligonucleotides are ligated to the 3′ terminus of mRNA substrates to protect poly(A) tails from degradation, without compromising their potency in stimulating translation. As a proof-of-concept, mocRNAs modified by deadenylase-resistant oligonucleotides result in augmented protein production by factors of 2−4 in human HeLa cells and by 10-fold in primary rat cortical neuronal cultures. By directly linking enzymatic and organic synthesis of mRNA, we envision that the mocRNA design will open new avenues to expand the chemical space and translational capacity of RNA-based vectors in basic research and therapeutic applications.
Nature Communications, 2021
Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulat... more Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulation in complex tissues. In situ transcriptomic methods generate spatially resolved RNA profiles in intact tissues. However, there is a lack of a unified computational framework for integrative analysis of in situ transcriptomic data. Here, we introduce an unsupervised and annotation-free framework, termed ClusterMap, which incorporates the physical location and gene identity of RNAs, formulates the task as a point pattern analysis problem, and identifies biologically meaningful structures by density peak clustering (DPC). Specifically, ClusterMap precisely clusters RNAs into subcellular structures, cell bodies, and tissue regions in both two- and three-dimensional space, and performs consistently on diverse tissue types, including mouse brain, placenta, gut, and human cardiac organoids. We demonstrate ClusterMap to be broadly applicable to various in situ transcriptomic measurements to u...
Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulat... more Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulation in complex tissues. In situ transcriptomic methods generate spatially resolved RNA profiles in intact tissues. However, there is a lack of a unified computational framework for integrative analysis of in situ transcriptomic data. Here, we present an unsupervised and annotation-free framework, termed ClusterMap, which incorporates physical proximity and gene identity of RNAs, formulates the task as a point pattern analysis problem, and thus defines biologically meaningful structures and groups. Specifically, ClusterMap precisely clusters RNAs into subcellular structures, cell bodies, and tissue regions in both two- and three-dimensional space, and consistently performs on diverse tissue types, including mouse brain, placenta, gut, and human cardiac organoids. We demonstrate ClusterMap to be broadly applicable to various in situ transcriptomic measurements to uncover gene expression pa...
Nature Communications, 2019
Type III-A CRISPR-Cas systems are prokaryotic RNA-guided adaptive immune systems that use a prote... more Type III-A CRISPR-Cas systems are prokaryotic RNA-guided adaptive immune systems that use a protein-RNA complex, Csm, for transcription-dependent immunity against foreign DNA. Csm can cleave RNA and single-stranded DNA (ssDNA), but whether it targets one or both nucleic acids during transcription elongation is unknown. Here, we show that binding of a Thermus thermophilus (T. thermophilus) Csm (TthCsm) to a nascent transcript in a transcription elongation complex (TEC) promotes tethering but not direct contact of TthCsm with RNA polymerase (RNAP). Biochemical experiments show that both TthCsm and Staphylococcus epidermidis (S. epidermidis) Csm (SepCsm) cleave RNA transcripts, but not ssDNA, at the transcription bubble. Taken together, these results suggest that Type III systems primarily target transcripts, instead of unwound ssDNA in TECs, for immunity against double-stranded DNA (dsDNA) phages and plasmids. This reveals similarities between Csm and eukaryotic RNA interference, whic...
Proceedings of the National Academy of Sciences, 2019
Significance Plant bioengineering will be necessary to sustain plant biology and agriculture, whe... more Significance Plant bioengineering will be necessary to sustain plant biology and agriculture, where the delivery of biomolecules such as DNA, RNA, or proteins to plant cells is at the crux of plant biotechnology. Here, we show that DNA nanostructures can internalize into plant cells and deliver siRNA to mature plant tissues without external aid. Furthermore, we demonstrate that nanostructure size, shape, compactness, and stiffness affect both nanostructure internalization into plant cells and subsequent gene silencing efficiency. Interestingly, we also find that the siRNA attachment locus affects the endogenous plant gene silencing pathway. Our work demonstrates programmable delivery of biomolecules to plants and details the figures of merit for future implementation of DNA nanostructures in agriculture.
Genetic engineering of plants is at the core of sustainability efforts, natural product synthesis... more Genetic engineering of plants is at the core of sustainability efforts, natural product synthesis, and agricultural crop engineering. The plant cell wall is a barrier that limits the ease and throughput with which exogenous biomolecules can be delivered to plants. Current delivery methods either suffer from host range limitations, low transformation efficiencies, tissue damage, or unavoidable DNA integration into the host genome. Here, we demonstrate efficient diffusion-based biomolecule delivery into tissues and organs of intact plants of several species with a suite of pristine and chemically-functionalized high aspect ratio nanomaterials. Efficient DNA delivery and strong protein expression without transgene integration is accomplished in Nicotiana benthamiana (Nb), Eruca sativa (arugula), Triticum aestivum (wheat) and Gossypium hirsutum (cotton) leaves and arugula protoplasts. We also demonstrate a second nanoparticle-based strategy in which small interfering RNA (siRNA) is deli...
Research Square (Research Square), Feb 25, 2021
Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulat... more Quantifying RNAs in their spatial context is crucial to understanding gene expression and regulation in complex tissues. In situ transcriptomic methods generate spatially resolved RNA profiles in intact tissues. However, there is a lack of a unified computational framework for integrative analysis of in situ transcriptomic data. Here, we present an unsupervised and annotation-free framework, termed ClusterMap, which incorporates physical proximity and gene identity of RNAs, formulates the task as a point pattern analysis problem, and thus defines biologically meaningful structures and groups. Specifically, ClusterMap precisely clusters RNAs into subcellular structures, cell bodies, and tissue regions in both two-and three-dimensional space, and consistently performs on diverse tissue types, including mouse brain, placenta, gut, and human cardiac organoids. We demonstrate ClusterMap to be broadly applicable to various in situ transcriptomic measurements to uncover gene expression patterns, cell-cell interactions, and tissue organization principles from high-dimensional transcriptomic images.
Uploads
Papers by Abhishek Aditham