Siddiqui, Asim

mRNA-Seq whole-transcriptome analysis of a single cell

Tang, F., Barbacioru, C., Wang, Y., Nordman, E., Lee, C., Xu, N., Wang, X., Bodeau, J., Tuch, B. B., Siddiqui, A., et al. (2009) · Nature Methods

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 3,969

Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis

Adams, T. S., Schupp, J. C., Poli, S., Ayaub, E. A., Neumark, N., Ahangari, F., Chu, S. G., Raby, B. A., DeIuliis, G., Januszyk, M., et al. (2020) · Science Advances

Interstitial Lung Diseases and Idiopathic Pulmonary FibrosisSingle-cell and spatial transcriptomics

Cited by 1,420

Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach

Bainbridge, M. N., Warren, R. L., Hirst, M., Romanuik, T., Zeng, T., Go, A., Delaney, A., Griffith, M., Hickenbotham, M., Magrini, V., et al. (2006) · BMC Genomics

Genomics and Phylogenetic StudiesGene expression and cancer classification

Cited by 222

Genome and Transcriptome Sequencing in Prospective Metastatic Triple-Negative Breast Cancer Uncovers Therapeutic Vulnerabilities

Craig, D. W., O'Shaughnessy, J. A., Kiefer, J. A., Aldrich, J., Sinari, S., Moses, T. M., Wong, S., Dinh, J., Christoforides, A., Blum, J. L., et al. (2013) · Molecular Cancer Therapeutics

Breast Cancer Treatment StudiesCancer Genomics and Diagnostics

Cited by 220

Genome variation in Cryptococcus gattii, an emerging pathogen of immunocompetent hosts

D’Souza, C. A., Kronstad, J. W., Taylor, G., Warren, R., Yuen, M., Hu, G., Jung, W. H., Sham, A., Kidd, S. E., Tangen, K., et al. (2011) · mBio

Fungal Infections and StudiesPlant Pathogens and Fungal Diseases

Cited by 202

A mouse atlas of gene expression: Large-scale digital gene-expression profiles from precisely defined developing C57BL/6J mouse tissues and cells

Siddiqui, A. S., Khattra, J., Delaney, A. D., Zhao, Y., Astell, C., Asano, J., Babakaiff, R., Barber, S., Beland, J., Bohacec, S., et al. (2005) · Proceedings of the National Academy of Sciences

Genomics and Phylogenetic StudiesGene expression and cancer classification

Cited by 116

Nanoparticle enrichment mass-spectrometry proteomics identifies protein-altering variants for precise pQTL mapping

Suhre, K., Venkataraman, G. R., Guturu, H., Halama, A., Stephan, N., Thareja, G., Sarwath, H., Motamedchaboki, K., Donovan, M. K. R., Siddiqui, A., et al. (2024) · Nature Communications

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 57

Large-scale production of SAGE libraries from microdissected tissues, flow-sorted cells, and cell lines

Khattra, J., Delaney, A. D., Zhao, Y., Siddiqui, A., Asano, J., McDonald, H., Pandoh, P., Dhalla, N., Prabhu, A.-L., Ma, K., et al. (2007) · Genome Research

Genomics and Phylogenetic StudiesGene expression and cancer classification

Cited by 40

Deep Profiling of Plasma Proteoforms with Engineered Nanoparticles for Top-down Proteomics

Huang, C.-F., Hollas, M. A., Sanchez, A., Bhattacharya, M., Ho, G., Sundaresan, A., Caldwell, M. A., Zhao, X., Benz, R., Siddiqui, A., et al. (2024) · Journal of Proteome Research

Advanced Proteomics Techniques and ApplicationsAdvanced Biosensing Techniques and Applications

Cited by 35