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Rachna J. Ram

Researcher at University of California, Berkeley

Publications -  5
Citations -  3288

Rachna J. Ram is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Gene & Proteome. The author has an hindex of 4, co-authored 5 publications receiving 2980 citations.

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Community structure and metabolism through reconstruction of microbial genomes from the environment

TL;DR: Reconstruction of near-complete genomes of Leptospirillum group II and Ferroplasma type II and analysis of the gene complement for each organism revealed the pathways for carbon and nitrogen fixation and energy generation, and provided insights into survival strategies in an extreme environment.
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Community Proteomics of a Natural Microbial Biofilm

TL;DR: Using genomic and mass spectrometry-based proteomic methods, gene expression, identified key activities, and examined partitioning of metabolic functions in a natural acid mine drainage (AMD) microbial biofilm community suggest damage to biomolecules is a key challenge for survival.
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Strain-resolved community proteomics reveals recombining genomes of acidophilic bacteria

TL;DR: Proteomics results reveal a genome shaped by recombination involving chromosomal regions of tens to hundreds of kilobases long that are derived from two closely related bacterial populations, and suggest that exchange of large blocks of gene variants is crucial for the adaptation to specific ecological niches within the very acidic, metal-rich environment.
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New Mutants of Saccharomyces cerevisiae Affected in the Transport of Proteins From the Endoplasmic Reticulum to the Golgi Complex

TL;DR: Secretory protein precursors accumulated in sec31-sec35 mutants at the nonpermissive temperature were core-glycosylated but lacked outer chain carbohydrate, indicating that transport was blocked after translocation into the ER but before arrival in the Golgi complex.
Journal Article

Microbiology: Community proteomics of a natural microbial biofilm

TL;DR: Using genomic and mass spectrometry-based proteomic methods, the authors evaluated gene expression, identified key activities, and examined partitioning of metabolic functions in a natural acid mine drainage (AMD) microbial biofilm community.