Anindita Basu
Title | Assistant Professor |
---|
Institution | University of Chicago |
---|
Department | Medicine-Genetic Medicine |
---|
Address | Chicago IL 60637
|
---|
vCard | Download vCard |
---|
|
|
|
Overview We are an interdisciplinary research group that combines expertise from physics, genomics, molecular biology and materials science to study complex biological systems with single cell resolution, at very high throughput, and in context of their native environments. We are jointly affiliated with the department of Medicine at UChicago and Center for Nanoscale Systems at ANL.
We develop and apply key technologies that allow single-cell epi-genomic and transcriptomic profiling of as many as 104-105 cells, including mammalian and microbial cells such as bacteria and yeasts, using microfluidics and next-gen sequencing, with applications in basic and translational research.
We also develop tools to study inter-cellular interactions in complex biological systems in context of environment, as well as physical and chemical techniques to systematically perturb them.
We expect our work will help create better taxonomy of cells in complex tissues, relate epi-genomics to transcription at a single cell level, and decipher inter-cellular interactions in healthy and diseased systems. This will help us understand systems-level cellular organization and function as part of complex biological environments.
Biography Harvard University, Broad Institute, Cambridge, MA | Post-doc | 10/2016 | Applied Physics, Genomics | University of Pennsylvania, Philadelphia, PA | PhD | 07/2012 | Physics | University of Arkansas, Fayetteville, AR | BS | 05/2004 | Physics; Computer Engineering |
ORNG Applications Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications.
Faculty can login to make corrections and additions.
-
Guzzetta A, Koska M, Rowton M, Sullivan KR, Jacobs-Li J, Kweon J, Hidalgo H, Eckart H, Hoffmann AD, Back R, Lozano S, Moon AM, Basu A, Bressan M, Pott S, Moskowitz IP. Hedgehog-FGF signaling axis patterns anterior mesoderm during gastrulation. Proc Natl Acad Sci U S A. 2020 07 07; 117(27):15712-15723. PMID: 32561646.
-
Selewa A, Dohn R, Eckart H, Lozano S, Xie B, Gauchat E, Elorbany R, Rhodes K, Burnett J, Gilad Y, Pott S, Basu A. Systematic Comparison of High-throughput Single-Cell and Single-Nucleus Transcriptomes during Cardiomyocyte Differentiation. Sci Rep. 2020 01 30; 10(1):1535. PMID: 32001747.
-
Habib N, Avraham-Davidi I, Basu A, Burks T, Shekhar K, Hofree M, Choudhury SR, Aguet F, Gelfand E, Ardlie K, Weitz DA, Rozenblatt-Rosen O, Zhang F, Regev A. Massively parallel single-nucleus RNA-seq with DroNc-seq. Nat Methods. 2017 Oct; 14(10):955-958. PMID: 28846088.
-
Tao Y, Rotem A, Zhang H, Chang CB, Basu A, Kolawole AO, Koehler SA, Ren Y, Lin JS, Pipas JM, Feldman AB, Wobus CE, Weitz DA. Rapid, targeted and culture-free viral infectivity assay in drop-based microfluidics. Lab Chip. 2015 Oct 07; 15(19):3934-40. PMID: 26304791.
-
Rotem A, Ram O, Shoresh N, Sperling RA, Schnall-Levin M, Zhang H, Basu A, Bernstein BE, Weitz DA. High-Throughput Single-Cell Labeling (Hi-SCL) for RNA-Seq Using Drop-Based Microfluidics. PLoS One. 2015; 10(5):e0116328. PMID: 26000628.
-
Macosko EZ, Basu A, Satija R, Nemesh J, Shekhar K, Goldman M, Tirosh I, Bialas AR, Kamitaki N, Martersteck EM, Trombetta JJ, Weitz DA, Sanes JR, Shalek AK, Regev A, McCarroll SA. Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets. Cell. 2015 May 21; 161(5):1202-1214. PMID: 26000488.
-
Chen J, Le S, Basu A, Chazin WJ, Yan J. Mechanochemical regulations of RPA's binding to ssDNA. Sci Rep. 2015 Mar 19; 5:9296. PMID: 25787788.
This graph shows the total number of publications by year, by first, middle/unknown, or last author.
To see the data from this visualization as text, click here.
Year | Publications |
---|
2015 | 4 | 2017 | 1 | 2020 | 2 |
To return to the timeline, click here.
|
Basu's Networks
Click the "See All" links for more information and interactive visualizations!
Concepts  Derived automatically from this person's publications. _
Co-Authors  People in Profiles who have published with this person. _
Similar People  People who share similar concepts with this person. _
Same Department
People who are also in this person's primary department.
Physical Neighbors  People whose addresses are nearby this person. _
|