Biomedical subjects

Ugrappa Nagalakshmi

Publications and source records attributed to Ugrappa Nagalakshmi.

3 recordsLinked to original sources

PubMed2025

Mutational scanning of TnpB reveals latent activity for genome editing.

TnpB is a diverse family of RNA-guided endonucleases associated with prokaryotic transposons. Due to their small size and putative evolutionary relationship to CRISPR-Cas12, TnpB enzymes hold significant potential for genome editing. However, most TnpBs lack robust gene editing activity, and unbiased profiling of mutational effects on editing activity has not been explored. Here, we mapped comprehensive sequence-function landscapes of a TnpB ribonucleoprotein and discovered many activating mutations in both the protein and RNA. One- and two-position RNA mutants outperform existing variants, highlighting the utility of systematic RNA scaffold mutagenesis. Leveraging the protein's mutational landscape, we identified enhanced TnpB variants from a combinatorial library of activating mutations. These variants enhanced editing in human cells, N. benthamiana, pepper, and rice, with up to a fifty-fold increase compared to wild-type TnpB. These findings highlight previously unknown elements critical for regulating TnpB endonuclease activity and reveal surprising latent activity accessible through mutation.

Journal Article↗

PubMed2025

Heritable virus-induced germline editing in tomato.

Here, we report the successful implementation of heritable virus-induced genome editing (VIGE) in tomato (Solanum lycopersicum). We generated three transgenic tomato lines expressing Streptococcus pyogenes Cas9 (SpCas9) under the control of Cauliflower mosaic virus 35S (35S), S. lycopersicum ribosomal protein S5A (SlRPS5A), or S. lycopersicum YAO promoters (SlYAO). These three lines were tested for somatic and heritable editing using the tobacco rattle virus (TRV)-based system carrying guide RNAs (gRNAs) fused with mobile RNA sequences. TRV with gRNA targeted to Phytoene desaturase (SlPDS) and Downy mildew resistance 6 (SlDMR6) genes fused to mobile RNA sequences showed significant somatic editing efficiency in all three tomato lines expressing SpCas9. However, the progenies from the SlYAO promoter-driven SpCas9 tomato infected with TRV with gRNA targeted to SlDMR6 fused to the mobile RNA sequence resulted in monoallelic mutations with a frequency of 3%. Optimization of environmental conditions, such as reduced light intensity, significantly increased heritable editing frequencies, from 0% to 86% at the SlPDS and from 3% to 100% at the SlDMR6, including biallelic mutations. These findings underscore the use of appropriate promoters to express Cas nucleases and optimized environmental conditions to enhance heritable genome editing efficiency in tomato using VIGE. Furthermore, our method enables the generation of mutants without additional tissue culture or transformation once a SpCas9-expressing tomato line is established.

Solanum lycopersicum↗

PubMed2006

Assessing the performance of different high-density tiling microarray strategies for mapping transcribed regions of the human genome.

Genomic tiling microarrays have become a popular tool for interrogating the transcriptional activity of large regions of the genome in an unbiased fashion. There are several key parameters associated with each tiling experiment (e.g., experimental protocols and genomic tiling density). Here, we assess the role of these parameters as they are manifest in different tiling-array platforms used for transcription mapping. First, we analyze how a number of published tiling-array experiments agree with established gene annotation on human chromosome 22. We observe that the transcription detected from high-density arrays correlates substantially better with annotation than that from other array types. Next, we analyze the transcription-mapping performance of the two main high-density oligonucleotide array platforms in the ENCODE regions of the human genome. We hybridize identical biological samples and develop several ways of scoring the arrays and segmenting the genome into transcribed and nontranscribed regions, with the aim of making the platforms most comparable to each other. Finally, we develop a platform comparison approach based on agreement with known annotation. Overall, we find that the performance improves with more data points per locus, coupled with statistical scoring approaches that properly take advantage of this, where this larger number of data points arises from higher genomic tiling density and the use of replicate arrays and mismatches. While we do find significant differences in the performance of the two high-density platforms, we also find that they complement each other to some extent. Finally, our experiments reveal a significant amount of novel transcription outside of known genes, and an appreciable sample of this was validated by independent experiments.

Cell Line↗